电网技术2024，Vol.48Issue(7)：2734-2744,中插15-中插18,15.DOI:10.13335/j.1000-3673.pst.2023.1944
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
摘要
Abstract
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Key words
electricity-heat energy market/bidding strategy/revenue allocation/Nash bargaining分类
动力与电气工程引用本文复制引用
任涵钰,王昀,谢海鹏,孙啸天,别朝红..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[J].电网技术,2024,48(7):2734-2744,中插15-中插18,15.基金项目
国家自然科学基金项目(52307134) （52307134）
陕西省自然科学基础研究计划(2023-JC-QN-0480).Project Supported by National Natural Science Foundation of China(NSFC)(52307134) （2023-JC-QN-0480）
Shaanxi Provincial Natural Science Basic Research Program(2023-JC-QN-0480). （2023-JC-QN-0480）
