计及综合需求响应与动态收益分配的园区运营商电-热联合竞标策略  

Joint Electricity-heat Decision-making Strategy for Park Operator Considering Integrated Demand Response and Dynamic Revenue Registration

作　　者：任涵钰 王昀 谢海鹏 孙啸天 别朝红[1] REN Hanyu;WANG Yun;XIE Haipeng;SUN Xiaotian;BIE Zhaohong(School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,Shaanxi Province,China;State Grid Wuxi Power Supply Company of Jiangsu Electric Power Co.,Ltd.,Wuxi 214002,Jiangsu Province,China)

机构地区：[1]西安交通大学电气工程学院,陕西省西安市710049 [2]国网江苏省电力有限公司无锡供电分公司,江苏省无锡市214002

出　　处：《电网技术》2024年第7期2734-2744,I0016,I0017,I0018,I0019,共15页Power System Technology

基　　金：国家自然科学基金项目(52307134);陕西省自然科学基础研究计划(2023-JC-QN-0480)。

摘　　要：随着能源逐步转型,推进多能流灵活性资源高效利用的同时保证各能源系统的利益有助于能源市场的多元化、公平化发展。为了更好地促进综合需求响应,充分利用电热多能互补潜力,首先,该文设计了基于虚拟热能交易的电-热联合市场体系,以园区运营商为主体,提出了一种计及综合需求响应与动态收益分配的电-热市场联合投标策略,在投标中通过综合需求响应实时反映电-热系统间的收益分配对决策行为的影响。基于此建立了电-热联合双层竞价模型,上层是园区运营商在日前电-热市场的最优投标策略;下层的3个子问题包括电、热市场出清,与基于纳什议价的电-热系统协同利润分配,以保障合作的公平稳定性。随后,通过KKT(Karush-Kuhn-Tucker)条件以及强对偶定理和二元展开的线性化方法,将该模型转化为混合整数线性规划问题高效求解。最后,通过某城市能源系统实际案例验证了该策略能有效解决园区运营商在日前市场的投标和定价问题,同时将整体和个体的收益提高20%以上。With the advancement of energy transition,promoting the efficient use of multi-energy flexible resources while ensuring the revenue of energy subsystems contributes to the diversified and equitable energy market.In this paper,we first design a combined electricity-heat(EH)market system based on virtual heat transactions to incentivize price-based responses.With park operators(POs)as the major players,we propose a joint EH decision-making strategy considering integrated demand response(IDR)and dynamic revenue allocation.It aims to reflect the impact of revenue allocation between EH subsystems(EHS)on decision-making in real-time through IDR.Based on this,a joint EH bilevel strategic model is established.The optimal bidding strategy for POs in the day-ahead market is built at the upper level.At the lower level,it includes three problems,i.e.,the electricity market clearing,heating pricing,and revenue redistribution between EHS based on Nash bargaining to guarantee the fairness of cooperation.Then,the model is transformed into a single-level mixed-integer linear programming problem to be solved by the Karush-Kuhn-Tucker(KKT)condition and the linearization method of strong duality theorem and binary expansion.By numerical tests of a practical city energy system,the proposed strategy can effectively solve the bidding and pricing problems in the day-ahead market and improve overall and individual revenues by more than 20%.

关 键 词：电-热市场 主体策略 收益分配 纳什议价 

分 类 号：TM721[电气工程—电力系统及自动化]