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作 者:韩赫 张沛超[1] 柴博 刘学智 高昆仑 HAN He;ZHANG Peichao;CHAI Bo;LIU Xuezhi;GAO Kunlun(Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education(Shanghai Jiao Tong University),Minhang District,Shanghai 200240,China;Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory(Global Energy Interconnection Research Institute Co.Ltd.),Changping District,Beijing 102209,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),上海市闵行区200240 [2]国家电网电力系统人工智能联合实验室(全球能源互联网研究院有限公司),北京市昌平区102209
出 处:《中国电机工程学报》2022年第19期7113-7125,共13页Proceedings of the CSEE
基 金:国家重点研发计划项目(2017YFB0903000)。
摘 要:为了对整个能源供应链进行协调优化,需要对大规模多能系统进行联合建模与协同计算。提出“以能量流为边”的多能系统图模型,能够完整表示多能网络和多能耦合设备,并能利用图数据库支撑大规模能源网络的数据管理。在上述图模型基础上,按照以顶点为中心的计算模式,推导建立了区域热电系统联合优化问题的图计算方法。在此框架下,完成了热网在不同调节方式下的建模,验证了方法的精度和通用性。最后,在多核云计算平台下完成了不同规模区域热电系统的运行优化,并与集中式优化对比,验证了该文方法的可扩展性。In order to coordinate and optimize the whole energy supply chain, it is necessary to perform joint modeling and collaborative computing on large-scale multi-energy systems. Therefore, a graph model of multi-energy system with "energy flow as the edge" was proposed in this paper, which can completely represent multi-energy network and multi-energy coupling equipment, using the graph database to support data management of large-scale energy networks. On the basis of the proposed graph model, according to the vertex-centric calculation mode, a graph computing method for district heat-electricity system(DHES) joint optimization was derived and established. Under the above framework, the modeling of the heating network under different regulating modes was completed, and the accuracy as well as versatility of the method was verified. Finally, the operation optimization of DHESs of different scales was completed under the multi-core cloud computing platform, and compared with the centralized optimization, which verified the outstanding scalability of the proposed method.
关 键 词:区域热电系统 运行优化 图模型 图计算 交替方向乘子法
分 类 号:TM71[电气工程—电力系统及自动化]
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