考虑需求侧资源参与的区域综合能源系统低碳协同调度  

Low-Carbon Co-dispatch of Integrated Regional Energy Systems Considering Demand Side Resource Participation

作　　者：陈磊 戎士敏 王聪 王荟敬 徐俊俊 吴巨爱 张腾飞[2] CHEN Lei;RONG Shimin;WANG Cong;WANG Huijing;XU Junjun;WU Juai;ZHANG Tengfei(Shijiazhuang Electric Power Supply Branch of State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050000,China;College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]国网河北省电力有限公司石家庄供电分公司,石家庄市050000 [2]南京邮电大学自动化学院/人工智能学院,南京市210023

出　　处：《电力建设》2024年第12期54-64,共11页Electric Power Construction

基　　金：国家自然科学基金项目(62073173);国家电网有限公司科技项目(5108-202218280A-2-427-XG)。

摘　　要：针对区域综合能源系统(regional integrated energy system,RIES)集中式优化调度方法不能揭示供能方与需求侧利益的缺陷,为了深入挖掘用户需求侧的可调节潜能,考虑到能量平衡约束和若干设备运行约束,提出了一种考虑需求侧资源参与的区域综合能源系统低碳协同调度模型。首先设置能源系统运营商(energy system operator,ESO)作为领导者,以收益最大化为目标为集群设定内部价格,下层的每个RIES作为追随者,对价格做出响应,并以最小化运行成本为目标建立了主从博弈模型;其次充分考虑电力、燃料、维护和碳交易成本的约束条件,在市场中引入碳交易机制限制二氧化碳排放,并采用差分演化(differential evolution,DE)的种群进化算法不断调整策略逼近博弈均衡;最后针对由三个系统组成的综合能源系统进行考虑需求侧资源参与的区域综合能源系统低碳协同调度分析,案例分析表明在博弈机制的激励下可以优化分布式能源装置的产出,降低运行成本,从而实现多主体利益平衡下的集群协调优化。To address the limitations of the centralized optimal scheduling method of regional integrated energy systems(RIES),which do not account for the interests of energy suppliers and users,a low-carbon economic scheduling model for RIES based on a multi-agent game is proposed,considering energy balance and operation constraints of various equipment.First,the energy system operator(ESO)assumes the role of the leader,establishing internal pricing within the cluster to maximize revenue.Each RIES at the lower level responds to these prices,establishing a master-slave game model aimed at minimizing operating costs.Second,the constraints of power,fuel,maintenance,and carbon trading costs are fully considered,with a carbon trading mechanism introduced into the market to limit carbon dioxide emissions.A differential evolution(DE)algorithm is applied to continuously adjust the strategy to approach the game equilibrium.Finally,a multi-agent game for the integrated energy system comprising three systems is used for low-carbon economic scheduling analysis.The case study shows that,with the incentive of the game mechanism,it is possible to optimize the output of distributed energy devices,thus achieving coordinated cluster optimization while balancing the interests of multiagents.

关 键 词：区域综合能源系统(RIES) 需求侧资源 集群优化 低碳协同调度 碳排放 

分 类 号：TM73[电气工程—电力系统及自动化]