计及自治需求的区域综合能源系统电-热灵活性资源协调优化方法OA
Coordinated Optimization of Electric-Heating Flexible Resources Considering Sub-Regional Autonomy in Regional Integrated Energy Systems
[目的]随着高效能源管理需求日益增长,区域综合能源系统(regional integrated energy system,RIES)亟需挖掘多类型灵活调节潜力.然而,多类型参与主体利益分配和多元灵活性调节资源协同运行面临挑战.本文提出了一种计及子区域自治能力的多元灵活性资源协调优化方法.[方法]首先,构建涵盖储能、用户侧需求响应、可控电/热源等多元灵活调节资源的系统运行架构及交易机制,提出了区域自治能力量化指标体系并嵌入子区域运行约束中.其次,提出一种计及RIES和子区域系统(sub regional system,SRS)协作的主从博弈双层协调调度模型,RIES供应商和SRS运营商在单领导者多追随者博弈优化模型中充当响应实体.上层部分RIES供应商以收益最大化为目标制定能源价格机制,激励SRS追随者积极参与高峰期监管调度活动;下层多个子区域聚合运营商作为跟随者,在满足自治能力约束并协同租赁储能的基础上,以最小化日运行成本为目标进行优化调度,并将用电需求反馈给上层.最后,通过算例分析验证模型的有效性.[结果]与不考虑区域自治能力要求且无储能共享的场景相比,本文所提方法能有效提升各子区域的调节能力,系统整体自治能力提升3.466%.[结论]本文所构建的基于主从博弈的协调优化方法能够有效利用储能的调节潜力,为提升多子区域互联系统的经济性与运行效率提供了可行方案.
[Objective]With the growing demand for efficient energy management,regional integrated energy systems(RIES)urgently need to tap the multi-type flexible regulation potential.However,the benefit allocation among multiple types of participants and the coordinated operation of diverse flexible regulation resources face significant challenges.This paper proposes a coordinated optimization method for multiple flexible resources considering the autonomy capability of sub-regions.[Methods]First,a system operation architecture and trading mechanism are established,covering multiple flexible regulation resources such as energy storage,user-side demand response,and controllable electric/thermal sources.A quantitative index system for regional autonomy capability is proposed and embedded into the operational constraints of sub-regions.Second,a master-slave game-based bi-level coordinated scheduling model is proposed that accounts for the cooperation between the RIES and sub-regional systems(SRS).The RIES supplier and SRS operators act as responsive entities in a single-leader multi-follower game optimization framework.At the upper level,the RIES supplier formulates energy pricing mechanisms with the objective of maximizing revenue,thereby incentivizing SRS followers to actively participate in peak-period regulatory dispatching activities.At the lower level,multiple sub-regional aggregator operators act as followers,performing optimal scheduling with the objective of minimizing daily operational costs while satisfying autonomy capability constraints and coordinating leased energy storage,and feeding back the electricity demand to the upper level.Finally,the effectiveness of the proposed model is verified through case studies.[Results]Compared with the scenario that disregards regional autonomy requirements and lacks energy storage sharing,the proposed method effectively enhances the regulation capability of each sub-region,and the overall system autonomy capability is improved by 3.466%.[Conclusions]The master-slave game-based coordinated optimization method constructed in this paper can effectively leverage the regulation potential of energy storage,providing a feasible solution for improving the economic efficiency and operational performance of multi-sub-regional interconnected systems.
刘栋;刘佳玲;李凡;王丹;司远;秦博宇;王秀丽
国网经济技术研究院有限公司,北京市 102209西安交通大学电气工程学院,西安市 710049国网经济技术研究院有限公司,北京市 102209国网经济技术研究院有限公司,北京市 102209国网经济技术研究院有限公司,北京市 102209西安交通大学电气工程学院,西安市 710049西安交通大学电气工程学院,西安市 710049
信息技术与安全科学
综合能源系统区域自治能力多元灵活性资源主从博弈优化运行
integrated energy systemregional autonomy capabilitymultiple flexible resourcesmaster-slave gameoptimized operation
《电力建设》 2026 (10)
85-96,12
新型电力系统科技攻关登高行动计划2024年专项重大科技项目(1400-202456361A-3-1-DG) This work is supported by 2024 Special Major Science and Technology Project for the"Scaling Heights"Action Plan on New Power System Technology Innovation(No.1400-202456361A-3-1-DG).
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