In this paper, after defining Maximum Power Point Tracking (MPPT) control expectations, with the aim of finding the optimum routine in fulfilling these expectations, a review over the available MPPT control methods is presented. Throughout the review, by comparing conventional MPPT routines in terms of accomplishing defined control objectives, the necessity of designing a new MPPT control scheme based on adaptive fuzzy logic is expressed. Based on the conducted review, a new routine to optimize the MPPT performance of a Photovoltaic (PV)-setup and to fulfill all the MPPT control requirements is proposed. The optimization is performed in tracking the Maximum Power Point (MPP) of the PV-module by a Boost-converter using an “antecedent-consequent adaptive” indirect fuzzy-based MPPT scheme. The fuzzy-based scheme is tuned online using a novel computationally light membership function tuning routine, where the antecedent and consequent membership functions are tuned synchronously. As a result, a fast, smooth and computationally light MPPT controller is proposed. In this regard, the presented MPPT scheme tuned using the proposed novel tuning routine is compared with conventional direct and indirect fuzzy-based MPPT schemes, showing superiority of the proposed MPPT routine over conventional schemes.

A new MPPT scheme based on a novel fuzzy approach

Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT.

Fuzzy logic controller based maximum power point tracking for PV system

This paper proposes maximum boost control for 7-level z-source cascaded h-bridge inverter and their affiliation between voltage boost gain and modulation index. Z-source network avoids the usage of external dc-dc boost converter and improves output voltage with minimised harmonic content. Z-source network utilises distinctive LC impedance combination with 7-level cascaded inverter and it conquers the conventional voltage source inverter. The maximum boost controller furnishes voltage boost and maintain constant voltage stress across power switches, which provides better output voltage with variation of duty cycles. Single phase 7-level z-source cascaded inverter simulated using matlab/simulink.

Maximum Boost Control for 7-level Z-Source Cascaded H-Bridge Inverter

Particle Swarm Optimization (PSO) technique has been applied for multi-junction solar cell system. The solar panels are made up of different materials and give constant output from Boost converter. The main aim of PSO is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.

Application of particle swarm optimization for maximum power point tracking in PV system

Objectives: This paper elucidates on proposed SVM for grid connected system using dual inverters to get improved output voltage and better current control with less switching loss and THD. Methods/Analysis: The system incorporates PV array, MPPT and boost converter which multiplies the output of the PV array. The split inductor used in this proposed system, which evades the treatment of the conventional transformer and the stepped output is converted into sinusoidal AC output and which gives better synchronization to ac applications. Split inductor reduces the shoot through problem, leakage current problem, reduces the defeat in the scheme and reduces the expenditure of the scheme. The proposed SVM algorithm is used as PWM controller for this dual inverter. This proposed scheme is simulated using Matlab/Simulink and the experimental outcomes are verified using the dsPIC controller. Findings: The proposed system is used for the conversion of the alternating current waveform and it eliminates the total harmonic distortion. This scheme aspires at reducing switching losses and to switching control easier than conventional system. The proposed SVM controls the capacitor balancing problems avoided by dual inverter instead of using multilevel inverter. Application/Improvement: This method provides improved output voltage and better current control compare to SPWM and conventional controllers. And Total Harmonic Distortion of the system reduces less than that of IEEE standard.

A Proposed SVM for 3-level Transformer-less Dual Inverter Scheme for Grid Connected PV System

This paper focus on modeling and simulation of Photovoltaic (PV) system by using improved mathematical model. Improved mathematical model which is used to study the changes in different parameter and effects on the PV array such as operating temperature and solar irradiation level improved. In this paper PSO-Fuzzy algorithm is proposed for MPPT control. The proposed algorithm will find the suitable duty ratio in order to maximize the power output of DC-DC converter. The proposed PSO-Fuzzy MPPT controller can work in the maximum power point for the complete range of solar data (temperature and solar irradiance level).

Design of PSO-Fuzzy MPPT Controller for Photovoltaic Application

Background/Objectives: This paper focus on Coordinated Control Scheme (CCS) for solar photovoltaic system using Hybrid Resonant Boost (HRB) converter and multilevel inverter. Methods/Statistical Analysis: The Maximum power point tracking has been implemented using Modified Perturb and Observe (MPO) algorithm. MPO algorithm mitigates the output power oscillation and maintain the Photovoltaic panel at maximum operating point. Findings: The HRB converter feeds a DC power to Modified nine level inverter to maintain the quality sinusoidal output. It also reduces the level of harmonics in the output to maintain the system output within standard level. Zero Current Switching (ZCS), Zero Voltage Switching (ZVS) and HRB topologies has been simulated using MATLAB/SIMULINK. The simulation results are used to validate the function of CCS. Applications: The proposed system is implemented for off grid solar photovoltaic (PV) power plant model.

Design of Coordinated Control Scheme for Hybrid Resonant Boost Converter and Multi Level Inverter

The objective of our study is to reduce the size of passive components and reduction of ripple in output voltage and input current by using interleaved soft switching dc-dc converter (interleaving action). The PV system converts solar energy into electrical energy but its output varies with variation of solar radiation and temperature. To provide impedance matching between PV and load a dc-dc converter with MPPT technique is used in PV (Photo Voltaic) Systems. This study incorporates design of the interleaved soft switching dc-dc converter for PV System by using P&O (Perturb and Observe) fuzzy logic controller. The P&O Fuzzy MPPT provides an accurate and fast converging under varying illumination and load conditions compared to conventional MPPT methods. The performance of the system is first analyzed by simulation using Matlab/Simulink software. The results of simulation were compared and analyzed.

Design of Soft Switching Interleaved Boost Converter for Photovoltaic Application

Multilevel inverter technology has emerged recently as a very important alternative in the area of high power and medium voltage energy control. This paper carried out the analysis and simulation of H-bridge multilevel inverter. To control the output voltage modulation techniques like Sinusoidal Pulse Width Modulation, Multicarrier Pulse Width Modulation and Space Vector Pulse Width Modulation are applied. Finally, sinusoidal output voltage is achieved by incorporating a suitable filter.

J. Prakash

Papers

Design of PSO-Fuzzy MPPT Controller for Photovoltaic Application

Design of Coordinated Control Scheme for Hybrid Resonant Boost Converter and Multi Level Inverter

Design of Soft Switching Interleaved Boost Converter for Photovoltaic Application

Sinusoidal Output Voltage H-bridge Multilevel Inverters