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P. Anbarasan

Bio: P. Anbarasan is an academic researcher from VIT University. The author has contributed to research in topics: AC power & Search algorithm. The author has an hindex of 2, co-authored 2 publications receiving 25 citations.

Papers
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Proceedings ArticleDOI
01 Mar 2017
TL;DR: The proposed symbiotic organism search algorithm is realized for IEEE-14 bus and 30-bus systems and is compared with Evolutionary programming, Differential evolutionary algorithm, dynamic particle swarm optimization, self-adaptive real coded genetic algorithm and modified Gaussian bare bones teaching learning based optimization.
Abstract: This paper introduces a newly developed symbiotic organism search algorithm for deal with ORPD problem. The reactive power optimization problem is essential for suitable operation and regulation in power system network. It helps operators to control the voltage limits, to curtail the real power loss in transmission lines, enhances the strength of the electrical power system to withstand and counteract voltage collapse during load variations in an electrical power system. The symbiotic organism search algorithm is one of the assuring, latest developments in the tract of Meta heuristic algorithms. The texture — animated philosophy of symbiotic organism search algorithm resembles the interactive nature among organisms in feature. Organisms in the real cosmos infrequently live in isolation due to their dependence on other organisms for livelihood and longevity. This ORPD problem is formulated by generator output voltages (continuous variable), regulating transformers and switchable VAR devices (discrete variables). The proposed symbiotic organism search algorithm is realized for IEEE-14 bus and 30-bus systems. The improved result values are compared with Evolutionary programming, Differential evolutionary algorithm, dynamic particle swarm optimization, self-adaptive real coded genetic algorithm and modified Gaussian bare bones teaching learning based optimization.

21 citations

Proceedings ArticleDOI
01 Jun 2017
TL;DR: In this paper, an improved colliding bodies optimization algorithm was discussed to realize the optimal reactive power dispatch problem in large-scale power systems, which is a huge constraint as it deals with large range of nonlinear and non-convex global optimization problems involving the composite of continuous and discontinuous control variables.
Abstract: This paper discusses an improved colliding bodies optimization algorithm to pledge competently to realize optimal reactive power dispatch problem. In large scale power system, optimal reactive power dispatch problem is a huge constraint as it deals with large range of non-linear and non-convex global optimization problems involving the composite of continuous & discontinuous control variables. The reactive power dispatch problem is formulated by reactive power supply components like generator output voltages, regulating transformers and reactive power compensating devices. In order to get the optimal values of control variables, a robust optimization algorithm has been tested for reactive power dispatch problem. The prime objectives of reactive power dispatch problems are: to lessen the real power loss in transmission lines, reduce the congestion in transmission lines, to maintain the specified voltage magnitude in all the buses in power system network for both normal & abnormal operating conditions. This is achieved by satisfying the set of specified operational constraints. This algorithm was well-established on single-dimensional collisions intervening bodies, with every operator result being evaluated by substance with mass. Later, the collision of impelling bodies with titled masses & velocities showed that these objects were distinct with new impetus. This collision response prompts the operators to act in almost fine point in the search area. The optimization of the colliding bodies forward simple formations to catch minimum or maximum of functions. The algorithm was applied on standard IEEE — 57 bus system & the outcome solutions are correlated with lately matured algorithms like cuckoo search, particle swarm optimization and gravitational search algorithms.

9 citations

DOI
TL;DR: In this article, a novel active power decoupling-based Luo converter for the weak grid system interfacing photovoltaic (PV) system has been implemented for maximum power extraction from the PV source.
Abstract: The main aim of this article is to implement a novel active power decoupling-based Luo converter for the weak grid system interfacing photovoltaic (PV) system. The modified Perturb and Observe (P&O) algorithm has been used for maximum power extraction from the PV source. The proposed system is capable of operating in the standalone mode and the grid-connected mode. The Luo converter is promising with the viewpoint of low inrush current, high voltage gain, small ripples along with high power density, high efficiency, and simple structure. Hence, the Luo converter has been used for maximum power extraction from the PV source, which is appropriate for both grid-tied and islanding modes of operation. The modified P&O algorithm has been used for maximum power extraction. The proposed MPPT technique reduces the drift problem, which occurs in the conventional MPPT methods by including the data of change in current ( $\Delta I$ ) in addition to the data used in the conventional P&O algorithm. This extraction has achieved by using a novel decoupling method, which, in turn, reduces the size of the filter. The converter along with the decoupling method also ensures reduced harmonics at the grid output. The operational principle and the stability analysis of the proposed converter have been analyzed in different modes of operation, such as grid-connected mode and standalone. The simulation has been carried out in MATLAB/Simulink environment. The implementation of the converter is carried out using a microcontroller-based prototype model to validate the performance. The efficiency of the proposed converter has been calculated to be 87.53% when operating under the grid-connected mode, whereas the efficiency is 92.46% when operating under the standalone mode.
Proceedings ArticleDOI
23 Mar 2023
TL;DR: In this article , a hybrid scheme for an islanded solar photovoltaic based dc bus system with fuel cell, Perturb and observe algorithm with some modification of additional loop of current has been used to track maximum poWer from photOVoltaic system.
Abstract: In this globalized World, the demand for energy resources is increasing at an alarming rate and this has led to the enormous usage of fossil fuels Which are at the stage of depletion. As an impact of this, Wind energy, solar cell, hydrogen fuel cells are considered as alternative reneWable sources of energy all over the World. This paper demonstrates a hybrid scheme for an islanded solar photovoltaic based dc bus system With Fuel cell, Perturb and observe algorithm With some modification of additional loop of current has been used to track maximum poWer from photovoltaic system. Supercapacitor and Battery as a backup poWer source. The implemented scheme ensures that there is continuous floiv of poWer to the load irrespective of the faults and failures occurring in the poWer system. The system components have been modeled and simulated using MATLAB/Simulink toolboxes for various irradiation levels of photovoltaic system to assess their effectiveness.
Journal ArticleDOI
TL;DR: In this paper , a new topology on switched configuration multilevel inverters with optimum dc sources, switches, voltage level, and filter requirements is proposed, which has the flexibility to extend for higher voltage levels with make use of less switches.
Abstract: Multilevel inverters proved its capabilities nowadays operating in the symmetrical and asymmetrical source of voltages to bring output voltage nearly to a sinusoid. Several variations in topological strategies put forth better output quality with lesser harmonic distortion. However, it suffers from several issues predominantly such as more number of devices, higher blocking voltage, and power loss for higher voltage levels. This paper forays a fresh topology on switched configuration multilevel inverters with optimum dc sources, switches, voltage level, and filter requirements. The proposed topology has the flexibility to extend for higher voltage levels with make use of less switches. The proposed structure has been simulated in MATLAB/Simulink and validated the results in a laboratory setup.

Cited by
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Journal ArticleDOI
TL;DR: The proposed ISSO method can be a very effective optimization tool for dealing with the ORPD problem and can find more favorable solutions with higher quality and ISSO can stabilize solution search function with approximately all trial runs finding lower value of fitness.
Abstract: This paper proposes an improved social spider optimization (ISSO) for achieving different objectives of optimal reactive power dispatch (ORPD). The proposed ISSO method is developed by applying two modifications on new solution generation process. The proposed method uses only one modified equation for producing the first new solution generation and the second new solution generation while the standard SSO uses two equations for each process. The improvement in the proposed method is confirmed by solving benchmark optimization functions, IEEE 30-bus system and IEEE 118-bus system. Obtained results from ISSO are compared to those from other existing methods available in other studies together with other popular and state-of-the-art methods, which are implemented in the work. As compared to standard SSO for application to ORPD problem, ISSO can reduce the number of computation steps and one control parameter, and shorten simulation time. About the result comparisons with SSO and other remaining methods, ISSO can find more favorable solutions with higher quality and ISSO can stabilize solution search function with approximately all trial runs finding lower value of fitness. Furthermore, the strong search ability of ISSO is also indicated because it uses less value for control parameters. As a result, the proposed ISSO method can be a very effective optimization tool for dealing with the ORPD problem.

54 citations

Journal ArticleDOI
16 Aug 2018-Energies
TL;DR: In this paper, a hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations.
Abstract: This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered. The proposed approach is based on the hybridization of the particle swarm optimization method and the tabu-search technique. This hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations. To validate the proposed hybrid method, the IEEE 30-bus system is considered for 12 and 19 control variables. The obtained results are compared with those obtained by particle swarm optimization and a tabu-search without hybridization and with other evolutionary algorithms reported in the literature.

47 citations

Journal ArticleDOI
01 Aug 2019-Energies
TL;DR: In this article, a novel improved antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive power dispatch (ORPD) problem.
Abstract: In this paper, a novel improved Antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive power dispatch (ORPD) problem. Such three power systems with a set of constraints in transmission power networks such as voltage limitation of all buses, limitations of tap of all transformers, maximum power transmission limitation of all conductors and limitations of all capacitor banks have given a big challenge for global optimal solution search ability of the proposed method. The proposed IALO method has been developed by modifying new solution generation technique of standard antlion optimization algorithm (ALO). By optimizing three single objective functions of systems with 30, 57 and 118 buses, the proposed method has been demonstrated to be more effective than ALO in terms of the most optimal solution search ability, solution search speed and search stabilization. In addition, the proposed method has also been compared to other existing methods and it has obtained better results than approximately all compared ones. Consequently, the proposed IALO method is deserving of a potential optimization tool for solving ORPD problem and other optimization problems in power system optimization fields.

39 citations

Journal ArticleDOI
TL;DR: A new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism for optimal RPD problems.
Abstract: In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses ($P_{loss,}$ MW) and voltage deviation ($\text{V}_{\mathrm {D}}$ ). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.

30 citations

Journal ArticleDOI
TL;DR: A recently proposed meta-heuristic algorithm known as the JAYA algorithm is applied to the standard IEEE 14, 30, 57 and 118 bus systems to solve the newly developed ORPD problem with the incorporation of DG and the simulation results prove the superiority of the Jaya algorithm over others.
Abstract: Optimal reactive power dispatch (ORPD) is a complex and non-linear problem, and is one of the sub-problems of optimal power flow (OPF) in a power system. ORPD is formulated as a single-objective problem to minimize the active power loss in a transmission system. In this work, power from distributed generation (DG) is integrated into a conventional power system and the ORPD problem is solved to minimize transmission line power loss. It proves that the application of DG not only contributes to power loss minimization and improvement of system stability but also reduces energy consumption from the conventional sources. A recently proposed meta-heuristic algorithm known as the JAYA algorithm is applied to the standard IEEE 14, 30, 57 and 118 bus systems to solve the newly developed ORPD problem with the incorporation of DG. The simulation results prove the superiority of the JAYA algorithm over others. The respective optimal values of DG power that should be injected into the four IEEE test systems to obtain the minimum transmission line power losses are also provided.

27 citations