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作 者:程孟增 刘禹彤 商文颖 程祥[2] Cheng Mengzeng;Liu Yutong;Shang Wenying;Cheng Xiang(Economic and Technical Research Institute of State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110065,China;School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
机构地区:[1]国网辽宁省电力有限公司经济技术研究院,辽宁沈阳110065 [2]沈阳工业大学电气工程学院,辽宁沈阳110870
出 处:《可再生能源》2023年第11期1528-1537,共10页Renewable Energy Resources
基 金:国网辽宁省电力有限公司管理科技项目资助(2022YF-64)。
摘 要:针对常规能源互联网集中式规划难以兼顾多负荷节点导致资源浪费的问题,文章提出一种基于能源路由器的能源互联网分区协同规划方法。首先,提出能源互联网分区协同规划系统结构;其次,以综合负荷矩最小为准则,提出基于改进自组织特征映射神经网络聚类算法进行能源互联网分区及能源路由器选址。在此基础上,构建多能源局域网协同的能源路由器模型,针对各能源局域网的典型日负荷曲线,以投资、运维、碳税年费用最小为目标,以能源路由器配置、电/气/热供需平衡为约束,建立多能源局域网协同的规划模型,采用量子遗传算法求解所建立的规划模型。最后,通过算例分析验证了所提出的能源互联网分区协同规划方法的有效性及经济效益。Aiming at the problem that the centralized planning of conventional energy internet is difficult to take into account the resource waste caused by multiple load nodes,this paper proposes an energy internet zoning collaborative planning method based on energy router.Firstly,the system structure of energy internet zoning collaborative planning is proposed;Secondly,based on the principle of minimum comprehensive load moment,an improved self-organizing feature mapping neural network clustering algorithm is proposed to partition the energy internet and locate the energy router.On this basis,the energy router model of multi-energy LAN collaboration is constructed.Aiming at the typical daily load curve of each energy LAN,the planning model of multi-energy LAN collaboration is established with the goal of minimizing the annual cost of investment,operation and maintenance,and carbon tax,and the constraints of energy router configuration,electricity/gas/heat supply and demand balance,and quantum genetic algorithm is used to solve the established planning model;Finally,through the analysis of typical urban cases,it shows that the energy internet zoning collaborative planning method proposed in this paper has better economic benefits.
关 键 词:能源互联网 自组织特征映射神经网络 能源路由器 分区协同规划 量子遗传算法
分 类 号:TK81[动力工程及工程热物理—流体机械及工程] TM715[电气工程—电力系统及自动化]
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