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文章摘要
基于云计算的异构能源系统能源管理方法
Energy management method of heterogeneous energy system based on Cloud Computing
Received:March 28, 2022  Revised:April 13, 2022
DOI:10.19753/j.issn1001-1390.2002.09.016
中文关键词: 异构能源系统  云计算  智能电网
英文关键词: Heterogeneous energy system  Cloud computing  Smart grid
基金项目:广东省重点领域研发计划 :面向大规模异构系统的综合管理平台及其应用示范 基金名称(2020B010166004)
Author NameAffiliationE-mail
Wang Fei* Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd Ywuzhuanyong2021@163.com 
Tian Zhiqiang Dongfang Electronics Co., Ltd tzq823@163.com 
Zhou Xiaoguang Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd littlelightzxg@163.com 
Peng Yiming Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd 20951666@qq.com 
Cui Xudong Dongfang Electronics Co., Ltd 1030851474@qq.com 
Li Yajun South China University of Technology,Guangzhou liyajun@scut.edu.cn 
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中文摘要:
      本文提出了一种基于云计算的能源管理方法,促进异构能源系统中可再生能源的整合。首先将能源供应商与能源产消者组成虚拟能源提供商,直接参与异构能源系统交易。其次建立云计算模型,用于系统内能源交易。然后考虑最小化客户能源使用成本和最大化能源供应商收益建立线性规划模型,促进可再生能源整合。在不同用户数量、可再生能源比例、储能结构的场景中对所提出的方法进行了测试,并与传统管理方法进行了比较。仿真结果表明,与MT方法相比,所提的方法可降低30%以上的系统成本,并且计算时间可满足实时能源管理服务。
英文摘要:
      This paper proposes an energy management method based on cloud computing to promote the integration of renewable energy in heterogeneous energy systems. Firstly, energy suppliers and energy producers and consumers form a virtual energy provider to directly participate in the transaction of heterogeneous energy systems. Secondly, establish a cloud computing model for energy trading in the system. Then, considering minimizing the energy use cost of customers and maximizing the income of energy suppliers, a linear programming model is established to promote the integration of renewable energy. The proposed method is tested in the scenarios of different number of users, proportion of renewable energy and energy storage structure, and compared with the traditional management method. Simulation results show that compared with MT method, the proposed method can reduce the system cost by more than 30%, and the calculation time can meet the real-time energy management service.
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