运筹与管理 ›› 2023, Vol. 32 ›› Issue (1): 27-33.DOI: 10.12005/orms.2023.0005

• 理论分析与方法探讨 • 上一篇    下一篇

电热耦合综合能源系统双阶段多目标规划研究

何勇萍1, 刘小敏1, 肖艳利1, 苟瑞欣1, 王保又2   

  1. 1.国网宁夏电力有限公司经济技术研究院,宁夏 银川 750011;
    2.华北电力大学 经济与管理学院,北京 昌平 102206
  • 收稿日期:2021-04-06 出版日期:2023-01-25 发布日期:2023-03-01
  • 作者简介:何勇萍(1973-),女,江苏海门人,高级政工师,研究方向:配电网规划,综合能源及技术经济分析等。
  • 基金资助:
    中央高校基本科研业务费专项资金(2021FR002,2019FR001)

Study on the Two-stage and Multi-objective Planning of Electro-thermal Coupled Integrated Energy Systems

HE Yongping1, LIU Xiaomin1, XIAO Yanli1, GOU Ruixin1, WANG Baoyou2   

  1. 1. Economics and Technology Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011, China;
    2. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Received:2021-04-06 Online:2023-01-25 Published:2023-03-01

摘要: 多能耦合系统是未来分布式能源供给方式的重要发展方向。为了实现电热耦合能源供给系统的合理规划、促进能源供给与消费的经济与环保的协调发展,提出一种面向电热耦合能源系统的综合能源系统双阶段规划优化方法。模型的第一阶段是在投资和环境最优的目标下实现电热耦合综合能源系统的合理规划,第二阶段是在考虑设备运行特性的基础上对规划的结果进行运行优化,以获得能源系统的最优运行方案,并从多个指标验证规划方案的合理性。利用NSGA-II算法求得模型进的帕累托解集,使用多准则妥协优化法从帕累托解集中决策出最优配置方案。仿真结果表明,提出的双阶段多目标综合能源规划方法能够实现能源供给系统的经济与环保双优。

关键词: 多目标优化, 电热联合供应, 能源规划, 运行优化, NSGA-II

Abstract: Multi-energy coupling system is an important development direction of distributed energy supply mode in the future. In order to realize the reasonable planning of the electrothermal coupling energy supply system, and to promote the coordinated development of energy supply and consumption of economy and environmental protection, a two-stage planning optimization method for the integrated energy system of the electrothermal coupling energy system is proposed. The first stage of the model is to realize the reasonable planning of the electric and thermal coupling integrated energy system under the goal of optimal investment and environment. The second stage is to optimize the operation of the planning results based on the operating characteristics of the equipment to obtain the optimal operation plan of energy system, and verify the rationality of the planning plan from multiple indicators. The NSGA-II algorithm is used to obtain the Pareto solution set of the model, and the multi-criteria compromise optimization method is used to decide the optimal configuration plan from the Pareto solution set. The simulation results show that the proposed two-stage multi-objective integrated energy planning method can achieve the economic and environmental protection of the energy supply system.

Key words: multi-objective optimization, combined electric and thermal supply, energy planning, operation optimization, NSGA-II

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