Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Fanbao Xie, Xin Guan, Xiaoyan Peng (), Yanzhao Zeng, Zeyu Wang and Tianqiao Qin
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Fanbao Xie: School of History and Public Administration, Yancheng Teachers University, Yancheng 224007, China
Xin Guan: Guangzhou Xinhua University, Dongguan 523133, China
Xiaoyan Peng: School of Government, Sun Yat-sen University, Guangzhou 510275, China
Yanzhao Zeng: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
Zeyu Wang: School of Public Administration, Guangzhou University, Guangzhou 510006, China
Tianqiao Qin: School of Management, Guangzhou University, Guangzhou 510006, China

Sustainability, 2024, vol. 16, issue 9, 1-22

Abstract: Sustainable energy systems (SESs) occupy a prominent position in the modern global energy landscape. The purpose of this study is to explore the application of fuzzy control and neural network control in photovoltaic systems to improve the power generation efficiency and stability of the system. By establishing the mathematical model of a photovoltaic system, the nonlinear and uncertain characteristics of photovoltaic system are considered. Fuzzy control and neural network control are used to control the system, and their performance is verified by experiments. The experimental results show that under the conditions of low light and moderate temperature, the fuzzy neural network control achieves a 3.33% improvement in power generation efficiency compared with the single control strategy. Meanwhile, the system can still maintain relatively stable operation under different environmental conditions under this comprehensive control. This shows that fuzzy neural network control has significant advantages in improving power generation efficiency and provides beneficial technical support and guidance for the commercial development of SESs.

Keywords: sustainable energy system; photovoltaic system; fuzzy control; neural network control; generating efficiency; system stability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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