综合需求响应(integrated demand response，IDR)作为区域综合能源系统(regional integrated energy system，RIES)维持供需平衡、实现分布式能源就地消纳的重要途径，已成为当下的研究热点。但现有IDR研究存在 3 个方面不足:综合能源服务商(integrated energy service provider，IESP)制定激励策略时，未考虑区域内用户的响应疲劳特性;在实施IDR的复杂场景下，未考虑区域IESP间的响应责任交易;忽略响应责任与碳排放责任的耦合关系。为此，首先分析用户响应意愿随响应次数的演化特性，通过引入响应疲劳函数实现对用户响应疲劳特性的有效建模;在此基础上，根据IESP的响应任务类型，设置多个IESP参与IDR的复杂场景。进一步，为实现各IESP参与IDR的经济性与低碳性，在考虑复杂场景下IESP间响应责任交易时的能源转移与碳排放责任转移基础上，建立响应责任-碳排放责任耦合交易机制。最终，采用基于自适应迭代步长的议价方法以确定最优交易价格。通过仿真算例验证所提模型的有效性:考虑用户响应疲劳特性的改进模型使用户的总收益提升27%;所提交易机制不仅使各场景下IESP的总成本分别降低 15。8%、9。8%、94。1%，还使典型场景下IESP的碳排放量降低17。8%，提高IESP参与IDR的经济性与低碳性，实现IESP与用户的共赢。
Research on IDR Strategy Considering"Response-carbon Emission"Responsibility Coupling Trading
Integrated demand response(IDR)is an important way for regional integrated energy system(RIES)to maintain the balance between supply and demand and realize the local consumption of distributed energy,which has become the current research hotspot.However,existing studies on IDR have the following three deficiencies.When integrated energy service providers(IESPs)formulate incentive strategies,they have not taken into account the response fatigue characteristics of users within the region.Furthermore,in the implementation of IDR within complex scenarios,the transaction of response responsibilities among regional IESPs has not been considered,and the coupling relationship between response responsibilities and carbon emission responsibilities has been overlooked.To address these issues,this paper begins by analyzing the evolutionary characteristics of user willingness to respond based on the number of responses.It effectively models the fatigue characteristics of user responses by introducing a response fatigue function.Building upon this foundation,the paper establishes complex scenarios involving multiple IESPs participating in IDR,categorized by the response task types of IESPs.In order to achieve economic viability and low carbon emissions for each IESP participating in IDR,a coupling mechanism for response responsibilities and carbon emission responsibilities is proposed.This mechanism is established by considering energy transfers and carbon emission transfers among IESPs in complex scenarios when trading response responsibilities.Finally,an optimal trading price is determined using a negotiation method based on adaptive iterative step sizes.The effectiveness of the proposed model is verified through simulation examples.The improved model,which takes into consideration user response fatigue characteristics,increases total user benefits by 27%.The proposed trading mechanism not only reduces the total costs for IESPs in various scenarios by 15.8%,9.8%,and 94.1%,respectively,but also decreases carbon emissions by 17.8%in a typical scenario.This enhancement improves the economic viability and low carbon aspects of IESPs'participation in IDR,achieving a win-win situation for both IESPs and users.
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