Fuzzy-PI Controllers for Voltage and Frequency Regulation of a PV-FC Based Autonomous Microgrid

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2019-08-01 DOI:10.1109/DISCOVER47552.2019.9008093

P. B. Nempu, N. Jayalakshmi, K. Shaji, Mankanwal Singh

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引用次数: 4

Abstract

This paper presents a study on PV and fuel cell (FC) based DC microgrid (MG). The PV array and FC stack act as energy sources and a hydrogen electrolyzer system is used for energy storage whenever surplus power is generated by the PV source. A supercapacitor (SC) bank is utilized for short-term energy storage to handle abrupt changes in load demand. This system is capable of supplying both DC and AC loads. The inverter is controlled by a voltage and frequency (V&F) control scheme to regulate the deviations in frequency and voltage. PI controllers and fuzzy logic based self-tuning PI controllers (Fuzzy-PI) are used in the inverter control scheme to regulate V&F deviations caused due to the changing AC loads and their effects on the system are analyzed and compared. With fuzzy logic based self-tuning PI controllers, the frequency and load current deviations are found to be minimized. Modelling and simulations are accomplished in MATLAB/Simulink software.

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基于PV-FC的自治微电网电压和频率调节的模糊pi控制器

本文对基于光伏和燃料电池的直流微电网进行了研究。光伏阵列和FC堆叠作为能源，当光伏源产生剩余电力时，氢电解槽系统用于储能。利用超级电容器组进行短期储能，以应对负荷需求的突变。该系统能够同时提供直流和交流负载。逆变器采用电压和频率(V&F)控制方案来调节频率和电压的偏差。在逆变器控制方案中采用PI控制器和基于模糊逻辑的自整定PI控制器(fuzzy -PI)来调节由于交流负载变化引起的V&F偏差，并分析比较了它们对系统的影响。采用基于模糊逻辑的自整定PI控制器，使频率和负载电流偏差最小。建模和仿真在MATLAB/Simulink软件中完成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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