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。
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.
作者
何勇萍
刘小敏
肖艳利
苟瑞欣
王保又
HE Yongping;LIU Xiaomin;XIAO Yanli;GOU Ruixin;WANG Baoyou(Economics and Technology Research Institute,State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750011,China;School of Economics and Management,North China Electric Power University,Beijing 102206,China)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2023年第1期27-33,共7页
Operations Research and Management Science
基金
中央高校基本科研业务费专项资金(2021FR002,2019FR001)。
关键词
多目标优化
电热联合供应
能源规划
运行优化
NSGA-Ⅱ
multi-objective optimization
combined electric and thermal supply
energy planning
operation optimization
NSGA-Ⅱ
