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文章摘要
计及需求响应的多微电网合作联盟调度优化
Scheduling optimization of multi microgrid cooperative alliance considering demand response
Received:December 19, 2021  Revised:January 10, 2022
DOI:10.19753/j.issn1001-1390.2024.11.020
中文关键词: 多微电网合作  需求响应  主从博弈  成本分摊
英文关键词: Multi  microgrid cooperation  system, Demand  response, Master-slave  game, Cost  allocation
基金项目:国家自然科学基金(51807064);河北省重点研发计划研究项目(20314301D)
Author NameAffiliationE-mail
Wang Mingyu* 1. State Key Laboratory of new energy power system North China Electric Power University,Baoding City,Hebei Province 071003 476844674@qq.com 
Xu Yan 1. State Key Laboratory of new energy power system North China Electric Power University,Baoding City,Hebei Province 071003 476844674@qq.com 
Dong Haoran 1. State Key Laboratory of new energy power system North China Electric Power University,Baoding City,Hebei Province 071003 476844674@qq.com 
Xiang Yifeng 1. State Key Laboratory of new energy power system North China Electric Power University,Baoding City,Hebei Province 071003 476844674@qq.com 
Fan Wen 1. State Key Laboratory of new energy power system North China Electric Power University,Baoding City,Hebei Province 071003 476844674@qq.com 
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中文摘要:
      为进一步降低多微网合作系统的运行成本,提出了一种考虑综合需求响应的调度策略,首先利用主从博弈机制,以多微网合作系统中的各子网为领导者,以各子网下属的用户为跟随者,形成多主多从的互动模型,通过优化各微网的定价策略、储能设备出力以及需求侧用户的响应方案,来达到节约多微网合作系统日运行成本、负荷日用电成本,降低功率不平衡量的目标。最后,利用Shapley值法来分摊多微网合作系统的日运行成本。经过仿真分析,所提模型使得多微网合作系统以及用户的成本得到了降低,同时在一定程度上缓解了储能设备的极端充放电情况。
英文摘要:
      In order to further reduce the operation cost of multi micro network cooperation system, a scheduling strategy considering comprehensive demand response is proposed. Firstly, using the master-slave game mechanism, taking each subnet in the multi micro network cooperation system as the leader and the users subordinate to each subnet as the followers, a multi master-slave interaction model is formed. By optimizing the pricing strategy of each micro network The output of energy storage equipment and the response scheme of users on the demand side can achieve the goal of saving the daily operation cost of multi microgrid cooperative system, the daily power consumption cost of load and reducing the power imbalance. Finally, the Shapley value method is used to allocate the daily operation cost of multi microgrid cooperative system. Through simulation analysis, the proposed model reduces the cost of multi microgrid cooperative system and users, and alleviates the extreme charge and discharge of energy storage equipment to a certain extent.
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