Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ
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(1. Nanjing Electric Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, China; 2. China Electric Power Research Institute, Nanjing 210003, China)

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    Abstract:

    In order to effectively improve the economy of multi-station integration construction, based on ensuring the power supply reliability and new energy consumption of the system, a multi-station integration capacity optimal allocation model with levelized energy cost as the optimization objective is established, and a multi-station integration capacity optimal allocation method considering multiple uncertainties to solve the stochastic optimization model is proposed. The simulation results of multi-station fusion data show the effectiveness of the proposed method and model.

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李 雪,周 航,路晓敏,张景晨,陶以彬,胡安平.基于改进NSGA-Ⅱ算法的多站融合系统运行优化[J].电力需求侧管理英文版,2022,24(5):97-101.

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History
  • Received:June 21,2022
  • Revised:July 31,2022
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  • Online: September 27,2022
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