Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm
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(Yancheng Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Yancheng 224000,China)

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TP15

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    Abstract:

    The comprehensive construction of energy to realize the high efficiency of terminal energy has become one of the important ways to support carbon neutralization and carbon peak. Aiming at the problems of energy efficiency improvement,planning and allocation of energy system in the park,a multi-objective optimal allocation model of economy and energy efficiency of comprehensive energy system in the park is put forward. By analyzing the basic structure of the park’s comprehensive energy system,taking the total annual cost and comprehensive energy efficiency as the optimization objectives,and considering various constraints of energy planning investment and energy operation safety,a multi-objective optimal allocation model of comprehensive energy system in the park is established. Then,based on the characteristics of NSGA-II algorithm and fusion simulated annealing algorithm,the search mechanism of fusion simulated annealing algorithm improves the solution performance of NSGA-II. Finally,a park in China is taken as an example to verify the effectiveness of the model and algorithm.

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朱俊铭,柏晶晶.基于改进遗传算法的园区综合能源系统规划研究[J].电力需求侧管理英文版,2024,26(3):76-81.

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History
  • Received:January 30,2024
  • Revised:March 15,2024
  • Adopted:
  • Online: May 25,2024
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