A Fuzzy Control Strategy for Coordination of Solar PV and Battery Systems in a Microgrid

In this paper, a robust fuzzy control strategy is proposed for the coordination of a photovoltaic system with maximum power point tracking control and battery storage control to support the voltage and frequency in an island grid. Control strategies show effective coordination among voltage control and frequency of the converter, control of maximum power point tracking, charging and discharging the battery. Regarding be fix of the integrator controller and proportional controller gain coefficients in different modes, the system should adjust the value of these controllers to a specific value that can improve performance in different operating modes. Considering the capabilities of the fuzzy algorithm in setting variables with changing conditions, in this paper, using the fuzzy algorithm, we set the integral and proportional gain coefficient of the PI controllers based on the error rate. Setting these coefficients based on the type of system mode and using the fuzzy algorithm is one of the objectives of this plan for precise control of the controller coefficients to improve the performance of the system in various operating situations. The results show effective coordination between DGs in the microgrid, taking into account the variability of the solar radiation system and the status of the battery charging constraint.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863234
Primary Topic
Microgrid Control and Optimization
Type
article
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article

A Fuzzy Control Strategy for Coordination of Solar PV and Battery Systems in a Microgrid

Mahmoud Zadehbagheri, Ayman Abbas, Igor Kuzle, Alì Karimi
Microgrid Control and Optimization
article

A Fuzzy Control Strategy for Coordination of Solar PV and Battery Systems in a Microgrid

Mahmoud Zadehbagheri, Ayman Abbas, Igor Kuzle, Alì Karimi
article en

Abstract

In this paper, a robust fuzzy control strategy is proposed for the coordination of a photovoltaic system with maximum power point tracking control and battery storage control to support the voltage and frequency in an island grid. Control strategies show effective coordination among voltage control and frequency of the converter, control of maximum power point tracking, charging and discharging the battery. Regarding be fix of the integrator controller and proportional controller gain coefficients in different modes, the system should adjust the value of these controllers to a specific value that can improve performance in different operating modes. Considering the capabilities of the fuzzy algorithm in setting variables with changing conditions, in this paper, using the fuzzy algorithm, we set the integral and proportional gain coefficient of the PI controllers based on the error rate. Setting these coefficients based on the type of system mode and using the fuzzy algorithm is one of the objectives of this plan for precise control of the controller coefficients to improve the performance of the system in various operating situations. The results show effective coordination between DGs in the microgrid, taking into account the variability of the solar radiation system and the status of the battery charging constraint.

Islamic Azad University, Tehran (IR), University of Zagreb (HR), Islamic Azad University Yasuj (IR), Fasa University of Medical Sciences (IR), Fasa University
Affordable and clean energy
Openalex Percentile: Top 67%
Microgrid Control and Optimization
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