scholarly journals Fuzzy Logic Controlled PV Based Quasi Impedance Source Inverter for Charge Balancing

2019 ◽  
Vol 9 (1) ◽  
pp. 2633-2638
Keyword(s):  
Control Method ◽  
Fuzzy Controller ◽  
Maximum Power ◽  
Storage Unit ◽  
Maximum Power Point ◽  
Charge Condition ◽  
Energy Storage Unit ◽  
Point Tracking ◽  
Power Point ◽  
Battery Energy

A photovoltaic power generation system based on battery-energy quasi impedance source cascaded multi-level inverter incorporates the advantages of a quasi-impedance source inverter, a CMI, and a battery-energy storage unit. Unbalanced battery charging between cascaded H-bridge inverter modules will degrade the efficiency of an entire system and reduce the lifetime of the battery. This paper proposed a control method for tracking the maximum power point and balancing the SOC of the battery under the large variation of solar input. A fuzzy based optimized linearizer for the battery charge and maximum power point tracking are proposed. The fuzzy controller is proposed to enhance the battery state of charge regulation takes as a individual modules as a loop to reduce over charge condition. The Proposed method validation is done by comparing it with base work control by PI and P&O with the performance parameters. The base work and proposed work are designed and simulated in the Matlab Simulink software.

A Research on the Fuzzy Control with Genetic Algorithm for Maximum Power Point Tracking of Photovoltaic Power System

2013 ◽  
Vol 303-306 ◽  
pp. 1153-1157
Author(s):  
Yi Zong Dai ◽  
De Jun Miao
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Based on the nonlinear of the photovoltaic device output power and the frequent changes in the work environment, a fuzzy controller with genetic algorithm was applied to maximum power point tracking (MPPT) of photovoltaic generation system. The problem of difference in the different interval of the maximum point was solved. It ensure that the system has a higher accuracy .By comparing the method of the fuzzy control and the method of fuzzy control with genetic algorithm through simulation , the result demonstrates the better control effect.

Study on Maximum Power Point Tracking for Grid-Connected Photovoltaic System

2010 ◽  
Vol 121-122 ◽  
pp. 93-96 ◽  
Author(s):  
Hou Sheng Zhang
Keyword(s):  
Control Method ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Radiation Intensity ◽  
Power Point

As the energy crisis and the pollution are serious, the exploitation of solar has received more and more attentions. It is well known that for a given solar radiation intensity and solar cell temperature there exists a maximum power point at which the power generated from the PV panel is at its maximum. In order to improve the efficiency of the system, the main method is to regulate the output of array to develop the maximum power point tracking (MPPT). In this paper the principle and control method of DC/DC conversion in grid-connected photovoltaic system are experimentally discussed. The conductance incremental method is analyzed in detail, and an improved variable step-size control method is implemented for MPPT with pulse width modulation. The experimental results prove the feasibility and correctness of the control method.

The Research of Maximum Power Point Tracking Based on Fuzzy Control in Grid-Connected Photovoltaic System

2012 ◽  
Vol 512-515 ◽  
pp. 202-207
Author(s):  
Qiang Xu ◽  
Xiao Chun Zhang ◽  
Kai Chun Ren ◽  
Xing Qi Zhang ◽  
Xiao Jun Liu
Keyword(s):  
Solar Cells ◽  
Fuzzy Control ◽  
Control Method ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper analyzes the characteristics of solar cells, and establishes the simulation model from its mathematical expressions which can factually reflects the change of solar cells’ parameters. The commonly used method of maximum power point tracking technologies is introduced. A PV system’s most maximum power is simulated by using the fuzzy control method. Simulation results show that the system can work at a stable maximum power point rapidly.

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