孙毅, 胡亚杰, 郑顺林, 李彬, 祁兵. 考虑用户响应特性的综合需求响应优化激励策略[J]. 中国电机工程学报, 2022, 42(4): 1402-1412. DOI: 10.13334/j.0258-8013.pcsee.202244
引用本文: 孙毅, 胡亚杰, 郑顺林, 李彬, 祁兵. 考虑用户响应特性的综合需求响应优化激励策略[J]. 中国电机工程学报, 2022, 42(4): 1402-1412. DOI: 10.13334/j.0258-8013.pcsee.202244
SUN Yi, HU Yajie, ZHENG Shunlin, LI Bin, QI Bing. Integrated Demand Response Optimization Incentive Strategy Considering Users' Response Characteristics[J]. Proceedings of the CSEE, 2022, 42(4): 1402-1412. DOI: 10.13334/j.0258-8013.pcsee.202244
Citation: SUN Yi, HU Yajie, ZHENG Shunlin, LI Bin, QI Bing. Integrated Demand Response Optimization Incentive Strategy Considering Users' Response Characteristics[J]. Proceedings of the CSEE, 2022, 42(4): 1402-1412. DOI: 10.13334/j.0258-8013.pcsee.202244

考虑用户响应特性的综合需求响应优化激励策略

Integrated Demand Response Optimization Incentive Strategy Considering Users' Response Characteristics

  • 摘要: 随着多种能源系统的不断交互融合以及能源交易市场化的改革,传统的电力需求响应已经不能满足多能源耦合的业务需求。针对多能源的联合响应问题,该文提出一种考虑用户响应特性的综合需求响应优化激励模型,以综合能源服务商和多元用户为综合需求响应的参与主体,求解各方目标最优时的响应策略。首先,介绍综合需求响应的实施架构及电热气能量枢纽模型。其次,建立综合能源服务商和用户的综合需求响应协同优化策略,并证明了最优解的存在性和唯一性。最后,通过算例分析验证所提策略在多场景下均能降低综合能源服务商的响应成本和用户的不满意度。

     

    Abstract: With the continuous interaction and integration of multiple energy systems and the reform of energy trading marketization, traditional power demand response can no longer meet the business needs of multi-energy coupling. Aiming at the joint response problem of multiple energy sources, this paper proposed an integrated demand response optimization incentive model considering the user response characteristics. Taking the integrated energy service providers and multiple users as the participants of the integrated demand response, the response strategy can be solved with the optimal objectives of all parties. Firstly, the implementation framework of integrated demand response and the model of electricity-heat-gas energy hub were introduced. Secondly, the collaborative optimization strategy of integrated demand response of integrated energy service providers and users was established, and the existence and uniqueness of the optimal solution were proved. Finally, the analysis of calculation examples verified that the proposed strategy can reduce the response cost of integrated energy service providers and user dissatisfaction in multiple scenarios.

     

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