考虑居民用户参与度不确定性的激励型需求响应模型与评估  

Incentive Demand Response Model and Evaluation Considering Uncertainty of Residential Customer Participation Degree

作　　者：郑若楠 李志浩 唐雅洁 倪筹帷 李国杰[1] 韩蓓[1] ZHENG Ruonan;LI Zhihao;TANG Yajie;NI Chouwei;LI Guojie;HAN Bei(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education(Shanghai Jiao Tong University),Shanghai 200240,China;Electric Power Research Institute of State Grid Zhejiang Electric Power Co.Ltd.,Hangzhou 310014,China)

机构地区：[1]电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市200240 [2]国网浙江省电力有限公司电力科学研究院,浙江省杭州市310014

出　　处：《电力系统自动化》2022年第8期154-162,共9页Automation of Electric Power Systems

摘　　要：先进的智能测控与双向通信技术引导越来越多居民用户通过智能家庭能量管理系统(SHEMS)参与需求响应(DR),然而用户参与度等不确定因素导致难以有效量化评估居民响应能力。首先,建立了复杂用电环境下的混合整数负荷模型,并综合考虑基于分时电价和用户协议的DR策略,建立了激励型DR参与度自主决策的智能家庭日前优化调度模型。然后,考虑到用户响应行为的不确定性,提出以参与度、响应时间等多重影响因素与净负荷功率构建高维参数空间,利用响应前后净负荷包络域期望量化用户响应能力,进而提出综合考虑电网激励成本与用户响应成本的响应能力梯度评估指标,为电网激励机制设计和用户响应方案决策提供指导依据。最后,仿真结果验证了所提模型及评估方法的有效性。Advanced measurement,control and two-way communication technologies lead more and more residents to participate in demand response(DR)through smart home energy management systems(SHEMSs).However,uncertainties such as customer participation degree make it difficult to effectively quantify and evaluate the response capacity of residents.Firstly,a mixed-integer load model in the complex power consumption environment is established.And a day-ahead optimal scheduling model with autonomous decision-making incentive DR participation degree is created for smart homes,comprehensively considering time-ofuse price based and contract based DR strategies.Then,considering the uncertainty of customer behavior in response,a highdimensional parameter space is proposed based on the net load power and its multiple influencing factors such as participation degree and response time.The user response capacity could be quantified by the numerical expectation calculation of the envelope domain of net load surfaces before and after the response,based on which two gradient evaluation indices of response capability are proposed,considering both the incentive cost of power utilities and the response cost of customers.The given evaluation indices can provide guidance to power utilities for the design of incentive mechanisms and end users for the decision of response plans.Finally,the effectiveness of the proposed model and evaluation method are verified according to the simulation results.

关 键 词：需求响应 智能家庭能量管理 参与度 响应能力评估 不确定性 

分 类 号：TM73[电气工程—电力系统及自动化]