Showing papers by "Sanjeevikumar Padmanaban published in 2017"
TL;DR: The authors in this article reviewed all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments.
Abstract: Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. This paper is focused on reviewing all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.
372 citations
TL;DR: In this article, the authors give the insights about fuel cell operation and application of various power electronics systems and discuss the control algorithms of power architecture for the couple of well-known applications.
Abstract: Renewable energy generation is rapidly growing in the power sector industry and widely used for two categories: grid connected and standalone system. This paper gives the insights about fuel cell operation and application of various power electronics systems. The fuel cell voltage decreases bit by bit with expansion in current because of losses associated with fuel cell. It is difficult in handling large rated fuel cell based power system without regulating mechanism. The issue connected with fuel based structural planning and the arrangements are widely investigated for all sorts of utilization. In order to improve the reliability of fuel cell based power system, the integration of energy storage system and advanced research methods are focused in this paper. The control algorithms of power architecture for the couple of well-known applications are discussed. Additionally, the paper addresses the suitable processor utilized as a part of the energy unit application on the premise of fuel cell characteristics. In this paper, the challenges to improve the dynamics of controller in fuel cell based applications are mentioned.
329 citations
TL;DR: Through simulation studies on a real time system of Allahabad city, the superior performance of the aforementioned technique with respect to genetic algorithm and particle swarm optimization in terms of improvement in voltage profile and quality is found.
213 citations
10 May 2017
TL;DR: The objective of this paper is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.
Abstract: Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. This paper is focused on reviewing all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.
140 citations
TL;DR: The improvement in performance of the DVR using CFFFB control compared with the conventional feed-forward control is observed in terms of voltage sag mitigation capability, active and reactive power support without tripping, dc-link voltage balancing, and fault current control.
Abstract: This paper investigates the fault ride through (FRT) capability improvement of a doubly fed induction generator (DFIG)-based wind turbine using a dynamic voltage restorer (DVR). Series compensation of terminal voltage during fault conditions using DVR is carried out by injecting voltage at the point of common coupling to the grid voltage to maintain constant DFIG stator voltage. However, the control of the DVR is crucial in order to improve the FRT capability in the DFIG-based wind turbines. The combined feed-forward and feedback (CFFFB)-based voltage control of the DVR verifies good transient and steady-state responses. The improvement in performance of the DVR using CFFFB control compared with the conventional feed-forward control is observed in terms of voltage sag mitigation capability, active and reactive power support without tripping, dc-link voltage balancing, and fault current control. The advantage of utilizing this combined control is verified through MATLAB/Simulink-based simulation results using a 1.5-MW grid connected DFIG-based wind turbine. The results show good transient and steady-state response and good reactive power support during both balanced and unbalanced fault conditions.
84 citations
TL;DR: From experimental results in a hospital it was confirmed that the robot can move along its global path, and reach the goal without colliding with static and moving objects.
Abstract: This paper describes the development of Pathfinder—an autonomous guided vehicle intended for the transportation of material in hospital environments. Pathfinder is equipped with the latest industrial hardware components and employs the most recent software stacks for simultaneous localization, navigation, and mapping. As the most significant contribution to the current robotics development, powerlink interface enabling direct data transfers between robot operating system and powerlink compatible hardware was developed. This combination is in our best knowledge reported here for the first time and the results with comprehensive tutorial were made publicly available as a GitHub repository. The capabilities of Pathfinder were explored during preliminary on-site tests in local hospital. From experimental results in a hospital it was confirmed that the robot can move along its global path, and reach the goal without colliding with static and moving objects.
54 citations
TL;DR: In this article, a self-balanced multistage DC-DC step-up converter for photovoltaic applications is presented, which is designed for unidirectional power transfer.
Abstract: This article presents a self-balanced multistage DC-DC step-up converter for photovoltaic applications. The proposed converter topology is designed for unidirectional power transfer and provides a doable solution for photovoltaic applications where voltage is required to be stepped up without magnetic components (transformer-less and inductor-less). The output voltage obtained from renewable sources will be low and must be stepped up by using a DC-DC converter for photovoltaic applications. 2 K diodes and 2 K capacitors along with two semiconductor control switch are used in the K-stage proposed converter to obtain an output voltage which is (K + 1) times the input voltage. The conspicuous features of proposed topology are: (i) magnetic component free (transformer-less and inductor-less); (ii) continuous input current; (iii) low voltage rating semiconductor devices and capacitors; (iv) modularity; (v) easy to add a higher number of levels to increase voltage gain; (vi) only two control switches with alternating operation and simple control. The proposed converter is compared with recently described existing transformer-less and inductor-less power converters in term of voltage gain, number of devices and cost. The application of the proposed circuit is discussed in detail. The proposed converter has been designed with a rated power of 60 W, input voltage is 24 V, output voltage is 100 V and switching frequency is 100 kHz. The performance of the converter is verified through experimental and simulation results.
54 citations
TL;DR: In this paper, an interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information.
Abstract: The enormous growth in the penetration of electric vehicles (EVs), has laid the path to advancements in the charging infrastructure. Connectivity between charging stations is an essential prerequisite for future EV adoption to alleviate user’s “range anxiety”. The existing charging stations fail to adopt power provision, allocation and scheduling management. To improve the existing charging infrastructure, data based on real-time information and availability of reserves at charging stations could be uploaded to the users to help them locate the nearest charging station for an EV. This research article focuses on an a interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on the road due to battery drain out. The proposed model is implemented using a low-cost microcontroller and the system etiquette tested.
53 citations
TL;DR: In this article, the authors presented an optimal scheduling of vehicle-to-grid using the genetic algorithm to minimize the power grid load variance, which is achieved by allowing electric vehicles charging (grid-tovehicle) whenever the actual power grid loading is lower than the target loading, while conducting electric vehicle discharging (vehicle-togrid) whenever a higher load is higher than target loading.
Abstract: The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicles and the power grid has spurred the emergence of a smart grid technology, denoted as vehicle-to grid-technology. Vehicle-to-grid technology manages the energy exchange between a large fleet of electric vehicles and the power grid to accomplish shared advantages for the vehicle owners and the power utility. This paper presents an optimal scheduling of vehicle-to-grid using the genetic algorithm to minimize the power grid load variance. This is achieved by allowing electric vehicles charging (grid-to-vehicle) whenever the actual power grid loading is lower than the target loading, while conducting electric vehicle discharging (vehicle-to-grid) whenever the actual power grid loading is higher than the target loading. The vehicle-to-grid optimization algorithm is implemented and tested in MATLAB software (R2013a, MathWorks, Natick, MA, USA). The performance of the optimization algorithm depends heavily on the setting of the target load, power grid load and capability of the grid-connected electric vehicles. Hence, the performance of the proposed algorithm under various target load and electric vehicles’ state of charge selections were analysed. The effectiveness of the vehicle-to-grid scheduling to implement the appropriate peak load shaving and load levelling services for the grid load variance minimization is verified under various simulation investigations. This research proposal also recommends an appropriate setting for the power utility in terms of the selection of the target load based on the electric vehicle historical data.
42 citations
TL;DR: In this article, a power balancing control (PBC) method is proposed to operate a grid energy storage system in three different modes of operation using a dual active bridge (DAB)-based battery charger.
Abstract: A grid energy storage system for photo voltaic (PV) applications contains three different power sources ie, PV array, battery storage system and the grid It is advisable to isolate these three different sources to ensure the equipment safety The configuration proposed in this paper provides complete isolation between the three sources A Power Balancing Control (PBC) method for this configuration is proposed to operate the system in three different modes of operation Control of a dual active bridge (DAB)-based battery charger which provides a galvanic isolation between batteries and other sources is explained briefly Various modes of operation of a grid energy storage system are also presented in this paper Hardware-In-the-Loop (HIL) simulation is carried out to check the performance of the system and the PBC algorithm A power circuit (comprised of the inverter, dual active bridge based battery charger, grid, PV cell, batteries, contactors, and switches) is simulated and the controller hardware and user interface panel are connected as HIL with the simulated power circuit through Real Time Digital Simulator (RTDS) HIL simulation results are presented to explain the control operation, steady-state performance in different modes of operation and the dynamic response of the system
37 citations
TL;DR: In this paper, a robust energy management solution which will facilitate the optimum and economic control of energy flows throughout a microgrid network is proposed, which enables precise management of power flows by forecasting of renewable energy generation, estimating the availability of energy at storage batteries, and invoking the appropriate mode of operation, based on the load demand to achieve efficient and economic operation.
Abstract: In this paper, a robust energy management solution which will facilitate the optimum and economic control of energy flows throughout a microgrid network is proposed. The increased penetration of renewable energy sources is highly intermittent in nature; the proposed solution demonstrates highly efficient energy management. This study enables precise management of power flows by forecasting of renewable energy generation, estimating the availability of energy at storage batteries, and invoking the appropriate mode of operation, based on the load demand to achieve efficient and economic operation. The predefined mode of operation is derived out of an expert rule set and schedules the load and distributed energy sources along with utility grid.
TL;DR: In this paper, the authors review the technical assessment methods of a grid-connected solar photovoltaic (PV) battery storage system with respect to maximum demand shaving with good Return-of-Investment (ROI).
Abstract: Under the current energy sector framework of electricity tariff in Malaysia, commercial and industrial customers are required to pay the maximum demand (MD) charge apart from the net consumption charges every month. The maximum demand charge will contribute up to 20% of the electricity bill, and will hence result in commercial and industrial customers focussing on alternative energy supply to minimize the billing cost. This paper aims to review the technical assessment methods of a grid-connected solar photovoltaic (PV)—battery storage system—with respect to maximum demand shaving. An effective battery storage system can provide the extra energy needed during the peak energy consumption periods, as well as when renewable energy (RE) sources go offline. Based on the reviews, maximum demand shaving with good Return-of-Investment (ROI) can be achieved by considering the actual load profile, technical, and economic aspects of the solar PV-battery system and the Malaysian electricity tariff for commercial and industrial customers.
TL;DR: In this paper, an inductive-capacitive-inductive (LCL) impedance matching network is designed for the robust operation of the PA, which improves the efficiency and maintains required impedance compression.
Abstract: The capacitive coupled wireless power transfer (CCWPT) operating at megahertz (MHz) frequency is broadly considered as the promising solution for low power biomedical implants. The class E power amplifier is attractive in MHz range wireless power transfer (WPT) applications due to zero voltage switching (ZVS) and zero voltage derivative switching (ZVDS) properties. The existing design of class E amplifier is investigated only for inductive resonant coupled (IRC) WPT systems; the modelling and optimization of the class E amplifier for CCWPT systems are not deliberated with load variation. Meanwhile, the variations in the coupling distance and load are common in real time applications, which could reduce the power amplifier (PA) efficiency. The purpose of this paper is to model and optimize the class E amplifier for CCWPT systems used in MHz range applications. The analytical model of PA parameters and efficiency are derived to determine the optimal operating conditions. Also, an inductive-capacitive-inductive (LCL) impedance matching network is designed for the robust operation of the PA, which improves the efficiency and maintains required impedance compression. The maximum efficiency of the proposed design reached up to 96.34% at 13.56 MHz and the experimental results are closely matched with the simulation.
TL;DR: A novel grid energy storage system for large-scale PV systems is discussed, with the proposed configuration, the battery charging and discharging are carried out through an AC voltage regulator which is connected in series to the line.
Abstract: In a conventional energy storage system in a grid-connected solar power stations, solar power is transferred to the grid through a PV-Inverter, and the battery is charged and discharged through a bi-directional converter. In this paper, a novel grid energy storage system for large-scale PV systems is discussed. With the proposed configuration, the battery charging and discharging are carried out through an AC voltage regulator which is connected in series to the line. For this system, cascaded H-bridge (CHB)-based PV-Inverter which is suitable for a high power application is selected. In case of failure in one H-Bridge of a CHB inverter, it is difficult to integrate solar inverter with the grid as the voltages of inverter and grid are not matched. Fault tolerant operation of the CHB-based PV-Inverter can also be achieved through the proposed configuration. In this paper, basic operation and control of a voltage regulator, application of the voltage regulator in grid energy storage systems, fault tolerant operation of a CHB inverter through the voltage regulator are presented. To validate the performance of the controls proposed, Real-time simulations are carried out by interfacing the simulated power circuit with the real controller card with the help of an Opal-RT make real-time simulator. Performance of the proposed system is analyzed through presented results.
01 Oct 2017
TL;DR: This paper articulates the novel topology for modified SEPIC converter and much suitable for renewable energy and high-voltage applications and validate the developed theoretical analysis and the accuracy of modified circuit.
Abstract: This paper articulates the novel topology for modified SEPIC converter and much suitable for renewable energy and high-voltage applications. Power circuit incorporated with one additional inductor and capacitor to the classical SEPIC converter as a voltage lift component. Hence, it overcomes the effect of parasitic effects of the circuit components (MOSFET/passive elements). Conventional DC-DC boost/SEPIC converters are utilized for renewable energy and industrial applications. But they suffer from parasitic effects with reduced output voltage, and limited with low efficiency. Henceforth, these difficulties overcomes with the modified SEPIC converter topology for maximizing the output voltage generation. Numerical simulation outcomes are presented and validate the developed theoretical analysis and the accuracy of modified circuit.
TL;DR: In this article, a co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine.
Abstract: In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.
01 Dec 2017
TL;DR: In this paper, a modified high voltage conversion Cuk converter for renewable energy application is presented, where the voltage conversion ratio of the proposed converter has increased by ten times of the conventional boost converter at a duty ratio of 90%.
Abstract: The proposed exertion represents the modified high voltage conversion Cuk converter for renewable energy application. The proposed Cuk converter is a combination of the conventional boost converter and Cuk converter. The arrangement of the proposed converter make, such as, it becomes the single controlled device DC-DC topology. The voltage conversion ratio of proposed converter has increased by ten times of the conventional Cuk converter at a duty ratio of 90%. The detailed analysis of the voltage conversion ratio and losses occur due to internal resistance of components is done in the paper. The current conversion ratio of proposed converter is discussed in the paper. The proposed converter is simulated in MatLab Simulink (2014) for 100W and regulated 10V input DC supply. The simulation results represent the existence and working of proposed converter.
TL;DR: In this article, a sliding mode controller is developed for a microgrid system in the presence of constant power loads to assure a certain control objective of keeping the output voltage constant at 480 V.
Abstract: To implement renewable energy resources, microgrid systems have been adopted and developed into the technology of choice to assure mass electrification in the next decade Microgrid systems have a number of advantages over conventional utility grid systems, however, they face severe instability issues due to the continually increasing constant power loads To improve the stability of the entire system, the load side compensation technique is chosen because of its robustness and cost effectiveness In this particular occasion, a sliding mode controller is developed for a microgrid system in the presence of constant power loads to assure a certain control objective of keeping the output voltage constant at 480 V After that, a robustness analysis of the sliding mode controller against parametric uncertainties was performed and the sliding mode controller’s robustness against parametric uncertainties, frequency variations, and additive white Gaussian noise (AWGN) are presented Later, the performance of the proportional integral derivative (PID) and sliding mode controller are compared in the case of nonlinearity, parameter uncertainties, and noise rejection to justify the selection of the sliding mode controller over the PID controller All the necessary calculations are reckoned mathematically and results are verified in a virtual platform such as MATLAB/Simulink with a positive outcome
TL;DR: This study was done to understand the impacts of chemically synthesized magnetite nanoparticles on earthworm—Eudrilus eugeniae, a soil-dependent organism which acquires food and nutrition from decaying matters.
Abstract: Most look into the benefits of the nanoparticles, but keeping aside the benefits; this study focuses on the impacts of nanoparticles on living systems. Improper disposal of nanoparticles into the environment is a subject of pollution or nano-pollution which in turn affects the flora and fauna in the ecosystem, particularly soil ecosystem. Thus, this study was done to understand the impacts of chemically synthesized magnetite nanoparticles on earthworm—Eudrilus eugeniae, a soil-dependent organism which acquires food and nutrition from decaying matters. The chemically synthesized magnetite nanoparticles were characterized by UV–visible spectrophotometry, Fourier transform infrared spectroscopy and field emission scanning electron microscopy. Earthworms were allowed to interact with different concentrations of synthesized nanoparticles and the effect of the nanoparticles was analysed by studying the phenotypic changes followed by histology and inductively coupled plasma optical emission spectrometry analyses.
TL;DR: In this paper, a storage based load side compensation technique is used to enhance stability of micro-grids, and two nonlinear control techniques, Sliding Mode Controller (SMC) and Lyapunov Redesign Controller (LRC), are individually implemented to control microgrid system stability with desired robustness.
Abstract: To mitigate the microgrid instability despite the presence of dense Constant Power Load (CPL) loads in the system, a number of compensation techniques have already been gone through extensive research, proposed, and implemented around the world. In this paper, a storage based load side compensation technique is used to enhance stability of microgrids. Besides adopting this technique here, Sliding Mode Controller (SMC) and Lyapunov Redesign Controller (LRC), two of the most prominent nonlinear control techniques, are individually implemented to control microgrid system stability with desired robustness. CPL power is then varied to compare robustness of these two control techniques. This investigation revealed the better performance of the LRC system compared to SMC to retain stability in microgrid with dense CPL load. All the necessary results are simulated in Matlab/Simulink platform for authentic verification. Reasons behind inferior SMC performance and ways to mitigate that are also discussed. Finally, the effectiveness of SMC and LRC systems to attain stability in real microgrids is verified by numerical analysis.
TL;DR: This paper deals with extra high-voltage (EHV) dc-dc boost converter by the application of voltage-lift technique to overcome the aforementioned deficiencies of classical HV converters.
Abstract: Classical DC-DC converters used in high voltage direct current (HVDC) power transmission systems, lack in terms of efficiency, reduced transfer gain and increased cost with sensor (voltage/current) numbers. Besides, the internal self-parasitic behavior of the power components reduces the output voltage and efficiency of classical HV converters. This paper deals with extra high-voltage (EHV) dc-dc boost converter by the application of voltage-lift technique to overcome the aforementioned deficiencies. The control strategy is based on classical proportional-integral (P-I) and fuzzy logic closed-loop controller to get high and stable output voltage. Complete hardware prototype of EHV is implemented and experimental tasks are carried out with digital signal processor (DSP) TMS320F2812. The control algorithms P-I, fuzzy logic and the pulse-width modulation (PWM) signals for N-channel MOSFET device are performed by the DSP. The experimental results provided show good conformity with developed hypothetical predictions. Additionally, the presented study confirms that the fuzzy logic controller provides better performance than classical P-I controller under different perturbation conditions.
01 Oct 2017
TL;DR: In this paper Multistage Switched Inductor Boost Converter (Multistage SIBC) is uttered for renewable energy applications and the analysis and working of projected converter is discussed in detail.
Abstract: In this paper Multistage Switched Inductor Boost Converter (Multistage SIBC) is uttered for renewable energy applications. The projected converter is derived from an amalgamation of the conventional step-up converter and inductor stack. The number of inductor and duty ratio decides the overall voltage gain of the projected converter. The projected converter consists of only one controlled power semiconductor device. The 50 KHz frequency is adopted to reduce the L, C value and to suppress the output waveform ripples. The analysis and working of projected converter is discussed in detail. Simulation of the projected converter for three stages is done in Matlab/Simulink (version-2016) and the results are verified with theoretical values.
TL;DR: In this article, the authors exploited the utilization of photovoltaic (PV) energy system with highvoltage (HV) output DC-DC converter to maximize the PV power generation.
Abstract: This paper exploited the utilization of photovoltaic (PV) energy system with high-voltage (HV) output DC-DC converter. Classical boost converters are used for both renewable energy integration and HV applications, but limited by reducing output/efficiency in performance. Moreover, as parasitic elements suppress the power transfer ratio, converter needs to maximize the PV energy utilization. This investigation study focused to include additional parasitic elements (voltage-lift technique) to a standard DC-DC buck converter and to overcome all the above drawbacks to maximize the PV power generation. The proposed power circuitry substantially improves the output power gain transfer ratio and a prototype hardware module is implemented using industrial standard DSP TMS 320F2812. Numerical simulation development followed by an experimental prototype implementation is carried out in this investigation. A set of numerical and experimental results is provided in this paper, which show close conformity with...
01 Jul 2017
TL;DR: This study analyze more efficient modified Cuk converter circuit configuration for renewable energy applications that minimizes the parasitic effects of the circuit components and maximizes the output voltage generation with higher efficiency.
Abstract: This study analyze more efficient modified Cuk converter circuit configuration for renewable energy applications. One additional inductor and capacitor to the classical Cuk converter is added as voltage booster. Therefore, it minimizes the parasitic effects of the circuit components. Diverse classical DC-DC boost converter types are used in renewable energy applications. However, the output voltage is limited due to parasitic effects which cause voltage drop, and lower efficiency. Modified Cuk converter circuit overcomes these difficulties and maximizes the output voltage generation with higher efficiency. Numerical simulations conducted on Matlab/Simulink and validate the analytical analysis and accuracy of the modified topology.
TL;DR: In this article, the authors developed a comprehensive model of the wind turbine driven seven-phase induction generator (7PIG) along with the necessary power electronic converters and the controller for grid interface.
Abstract: The evolving multiphase induction generators (MPIGs) with more than three phases are receiving prominence in high power generation systems. This paper aims at the development of a comprehensive model of the wind turbine driven seven-phase induction generator (7PIG) along with the necessary power electronic converters and the controller for grid interface. The dynamic model of the system is developed in MATLAB/Simulink (R2015b, The MathWorks, Inc., Natick, MA, USA). A synchronous reference frame phase-locked loop (SRFPLL) system is incorporated for grid synchronization. The modeling aspects are detailed and the system response is observed for various wind velocities. The effectiveness of the seven phase induction generator is demonstrated with the fault tolerant capability and high output power with reduced phase current when compared to the conventional 3-phase wind generation scheme. The response of the PLL is analysed and the results are presented.
TL;DR: In this study, a new technique named iterative filter selection approach is used in designing the hybrid PV-wind turbine-battery system to obtain the best acceptable solution while considering all the design objectives.
Abstract: This study presents a hybrid renewable energy system that yields minimum total project cost and maximum reliability. The system is in modular configuration consisting of photovoltaic (PV) array, wind turbine, battery storage, AC load and a dump load. Also, the minimisation of unutilised surplus power is taken into consideration as one of the design objectives. In this study, a new technique named iterative filter selection approach is used in designing the hybrid PV-wind turbine-battery system to obtain the best acceptable solution while considering all the design objectives. The system is then justified by comparing with iterative-Pareto-fuzzy and particle swarm optimisation techniques. The technique is found to be superior in terms of total project cost with satisfaction to the load demand. The method is simulated using MATLAB and the results are presented in the study with proper discussion.
01 Dec 2017
TL;DR: In this paper, the authors compared four different configurations of the modified high voltage conversion boost converter (MBC) and its four configurations using Switched Inductor (SI) structure.
Abstract: The proposed work represents the modified high voltage conversion boost converter (MBC) and its four different configurations using Switched Inductor (SI) structure-Modified Boost Converter with LL Configuration (MB-LL), Modified Boost Converter with XL Configuration (MBSI-XL), Modified Boost Converter with LY Configuration (MBSI-LY), and Modified Boost Converter with XY Configuration (MBSI-XY). All four configurations are having a single controlled device and derive from the conventional boost converter by hosting boosting circuit in the conventional boost converter. The comparative analysis of four configurations of MBC is done in the paper. The voltage conversion analysis by considering internal voltage drop and without considering voltage drop across the passive device is carried out. The comparison of four configurations of MBC is done on the basis of the voltage conversion ratio, number of components and efficiency of the converter. Four configurations of MBC are simulated in MatLab Simulink for 250W. The simulation results validate the achievability of the modified boost converter.
TL;DR: In this article, the authors focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution, with the aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation.
Abstract: In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have been made to the IEEE 34-bus test case and various actual test cases with the respect of multiple Distribution Generation DG units. The possibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been verified. Finally, four algorithms were trailed: simulated annealing (SA), hybrid genetic algorithm (HGA), genetic algorithm (GA), and variable neighbourhood search. The HGA algorithm was found to produce the best solution at a cost of a longer processing time.
TL;DR: In this paper, a sliding mode control (SMC)-based equivalent control method is proposed to improve the efficiency and output gain of a high output gain Cuk converter with an additional inductor and capacitor.
Abstract: This paper introduces a sliding mode control (SMC)-based equivalent control method to a novel high output gain Cuk converter. An additional inductor and capacitor improves the efficiency and output gain of the classical Cuk converter. Classical proportional integral (PI) controllers are widely used in direct current to direct current (DC-DC) converters. However, it is a very challenging task to design a single PI controller operating in different loads and disturbances. An SMC-based equivalent control method which achieves a robust operation in a wide operation range is also proposed. Switching frequency is kept constant in appropriate intervals at different loading and disturbance conditions by implementing a dynamic hysteresis control method. Numerical simulations conducted in MATLAB/Simulink confirm the accuracy of analysis of high output gain modified Cuk converter. In addition, the proposed equivalent control method is validated in different perturbations to demonstrate robust operation in wide operation range.
01 Oct 2017
TL;DR: Due to higher conversion ratio capability of the proposed 2L-Y converter, it provides a workable solution for photovoltaic and electrical drive applications and is derived, discussed and analyzed in this paper.
Abstract: The projected 2L-Y DC-DC Converter topologies are new members of the XY converter family. The 2L-Y converter is a combination of two single stage converters consisting, one is 2L converter and another is Y converter. Based on the configuration of Y converter four new topologies called a 2L-LVD converter, 2L-2LVD converter, 2L-2LCVD converter and 2L-2LCmVD converter are derived, discussed and analyzed in this paper. Due to higher conversion ratio capability of the proposed 2L-Y converter, it provides a workable solution for photovoltaic and electrical drive applications. The striking features of 2L-Y converter topologies are only one controlled device, negative output, Transformer-less topology, compact structure and having a minimum internal resistance. The proposed 2L-Y converters are simulated into MATLAB and simulation results are confirmed the theoretical analysis.