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计及电热需求响应的共享储能容量配置与动态租赁模型

  • Xi'an Jiaotong University
  • State Grid Gansu Economic Research Institute

科研成果: 期刊稿件文章同行评审

72 引用 (Scopus)

摘要

In order to scientifically and rationally configure the parameters of the shared energy storage system and reduce the unnecessary investment and construction costs, this paper proposes a model for the optimal allocation of shared energy storage capacity that takes into account the comprehensive demand response of electricity and heat. Firstly, the operation mode of shared energy storage is introduced, and the shortcomings of the shared energy storage model in previous studies are analyzed. And then a dynamic capacity lease model of the shared energy storage is proposed. Secondly, a type of electricity-heat integrated energy microgrid is modelling. On this basis, this paper proposes a bi-level optimization model for the allocation of shared energy storage capacity with consideration of the integrated electricity-heat demand response. The upper objective function is to maximize the income of shared energy storage, and the lower objective function is to minimize the total operation costs of multiple microgrids. Furthermore, an algorithm solution process of the model is given, and the profit of different microgrids are allocated based on the Nash bargaining method. Finally, a numerical example is analyzed on the MATLAB platform to verify the feasibility and effectiveness of the proposed model. The results show that the proposed capacity lease model can allocate optimal capacity for each microgrid, avoiding the user-side power interaction phenomenon in the previous model, which is more suitable for actual application scenarios.

投稿的翻译标题Shared Energy Storage Capacity Allocation and Dynamic Lease Model Considering Electricity-Heat Demand Response
源语言繁体中文
页(从-至)24-32
页数9
期刊Dianli Xitong Zidonghua/Automation of Electric Power Systems
45
19
DOI
出版状态已出版 - 10 10月 2021

关键词

  • Bi-level optimization
  • Capacity allocation
  • Demand response
  • Microgrid
  • Nash bargaining
  • Shared energy storage

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