Optimization Scheduling Method of Solar Photovoltaic and Fuel Cell Combined Power Generation System

Authors

  • Xiao Xue School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China
  • Yangbing Zheng 2) College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China 3) Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China
  • Yajie Duan Nanyang Zhongda Electromechanical Equipment Co.Ltd, Nanyang 473000, Henan, China

DOI:

https://doi.org/10.13052/spee1048-5236.4213

Keywords:

Solar photovoltaic, fuel cell, combined power generation system, optimization scheduling, multi-objective cuckoo algorithm

Abstract

The performance of the battery used in the traditional solar photovoltaic power generation system is poor, and the solar energy has a certain volatility, which makes the performance of the solar photovoltaic power generation system decline significantly. In order to improve the performance of the solar photovoltaic power generation system, a solar photovoltaic fuel cell combined power generation system has been developed. However, there are some problems in the process of traditional combined generation system optimal scheduling, such as high investment cost and total cost, and short generation time of optimal scheduling scheme. This paper takes solving the problems of traditional system optimal scheduling as the research goal, a new optimization scheduling method of solar photovoltaic and fuel cell combined power generation system was designed. The composition and topological structure of the solar photovoltaic fuel cell combined power generation system are analyzed. The system is composed of photovoltaic array, fuel cell, electrolytic cell, short-term energy storage unit and energy control unit. It can mainly convert sunlight radiation into electric energy, and convert it into DC or AC used by people through multiple links, so as to ensure the stability and security of power supply in our country. A scheduling model is established according to the photovoltaic cell power generation model, the fuel cell power generation model, the electrolytic hydrogen production model, the battery model, the power conversion model and the combined power generation system model. And the multi-objective cuckoo algorithm is used to solve the model, the optimization scheduling results of solar photovoltaic fuel cell combined power generation system are obtained. The experimental results show that the total investment cost of this method is reduced by 123678.4 yuan and 175858.7 yuan compared with the experimental comparison method, and the total cost is reduced by 301195.5 yuan and 414991.8 yuan compared with the experimental comparison method. It shows that compared with the experimental comparison method, the total investment cost and total cost of this method are lower, and the generation time of the optimal scheduling scheme is between 0.19s and 0.25s, and the practical application effect is good. It fully solves the problems existing in the traditional methods and has certain application significance.

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Author Biographies

Xiao Xue, School of Information Engineering, Nanyang Institute of Technology, Nanyang 473004, Henan, China

Xiao Xue, Associate Professor of School of Electronic and Electrical Engineering in Nanyang Institute of Technology, Nanyang, China. He received his Bachelor of Engineering Science in Electronic Information Engineering from Nanyang Institute of Technology, Henan, China, in 2003; the Doctor Degree of Engineering in detection technology and automatic equipment from China University of Geosciences, Wuhan, China, in 2015. His current research interests include Detection technology, and intelligent control.

Yangbing Zheng, 2) College of Mechanical and Electronic Engineering, Nanyang Normal University, Nanyang 473061, Henan, China 3) Qinghai Wandong Ecological Environment Development Co.LTD, Geermu 816000, Qinghai, China

Yangbing Zheng, Associate Professor of control science and engineering, with Nanyang Normal University, Nanyang, China. She received her Bachelor of Engineering Science in Electronic Information Engineering from Nanyang Institute of Technology, Henan, China, in 2006; and the Doctor Degree of Engineering in detection technology and automatic equipment from China University of Mining and Technology, Beijing, China, in 2013, respectively. Her current research interests include active robot control, and nonlinear control.

Yajie Duan, Nanyang Zhongda Electromechanical Equipment Co.Ltd, Nanyang 473000, Henan, China

Yajie Duan, Senior Engineer of Nanyang Zhongda Electromechanical Equipment Co.LTD, received his Master of Engineering degree form China University of Geosciences (Wuhan). His current research interests include intelligent control, Solar power and Electronic information technology.

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Published

2022-12-28

How to Cite

Xue, X. ., Zheng, Y. ., & Duan, Y. . (2022). Optimization Scheduling Method of Solar Photovoltaic and Fuel Cell Combined Power Generation System. Strategic Planning for Energy and the Environment, 42(01), 37–56. https://doi.org/10.13052/spee1048-5236.4213

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Articles