The Multi-Objective Optimal Scheduling of the Water–Wind–Light Complementary System Based on an Improved Pigeon Flock Algorithm

Kangping Wang, Pengjiang Ge, Naixin Duan, Jili Wang, Jinli Lv, Meng Liu and Bin Wang ()
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Kangping Wang: Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
Pengjiang Ge: Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
Naixin Duan: Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
Jili Wang: Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
Jinli Lv: Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
Meng Liu: Beijing Kedong Electric Power Control System Co., Ltd., Beijing 100080, China
Bin Wang: Department of Power and Electrical Engineering, Northwest A&F University, Xianyang 712100, China

Energies, 2023, vol. 16, issue 19, 1-18

Abstract: The output of wind power and photovoltaic power is random, fluctuating and intermittent, and a direct grid connection will result in the reduction of power generation income and a great fluctuation in the power grid’s connection. The addition of hydropower stations can reduce the above problems. Therefore, this paper first introduces and analyzes a typical application scenario of a water–wind–light combined power generation system. Then, a multi-objective optimization model is established, considering the two objectives of maximizing the joint generation and minimizing the system’s power fluctuation. Third, the adaptive fractional order calculus strategy is introduced, and a multi-objective pigeon swarm algorithm, which can adaptively adjust the fractional order according to the location information of a flock, is proposed. Finally, an optimization simulation is carried out. The simulation results show that the improved multi-objective pigeon swarm algorithm has better optimization accuracy. It provides a reference for the future implementation of hydropower stations, and the surrounding wind and photoelectric field joint dispatching strategy.

Keywords: multi-objective optimization; water–wind–light complementarity; fractional calculus; pigeon flock algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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