Title: Intelligent scheduling optimisation strategy for comprehensive energy systems

Authors: Kun Yan; Hongwei Dong; Tao Han; Jin Zhu

Addresses: Three Gorges Electric Power Co., Ltd., Wuhan, China ' Three Gorges Electric Power Co., Ltd., Wuhan, China ' Three Gorges Electric Power Co., Ltd., Wuhan, China ' Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China

Abstract: In order to improve the output of integrated energy system and reduce the high-operation cost, a coordinated optimal scheduling method based on improved genetic algorithm was proposed. Aiming at the problems of poor output and high operating cost after the application of existing energy system scheduling methods, an integrated coordinated optimal scheduling method based on improved genetic algorithm is proposed. Firstly, the structure of the integrated energy system is analysed, and then the output of wind turbine, incentive demand response, gas turbine, etc., are analysed, and the output model of the integrated energy system is built. Finally, the optimal scheduling model of the energy system is established, and the improved genetic algorithm is used to solve it, and the optimal scheduling of the integrated energy system is realised. The experimental results show that the system output is the best, the operation cost is the lowest, and it can meet the operation requirements of the integrated energy system.

Keywords: improved genetic algorithm; integrated energy system; coordination and optimisation; scheduling algorithm.

DOI: 10.1504/IJGEI.2025.147239

International Journal of Global Energy Issues, 2025 Vol.47 No.4/5, pp.436 - 451

Received: 12 Jul 2023
Accepted: 22 Nov 2023
Published online: 14 Jul 2025 *

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