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考虑综合能源站柔性调控作用的城市配电网多阶段规划策略分析 被引量:3

Multi-Stage Planning Strategy Analysis of Urban Distribution Network Considering the Flexible Regulation of Integrated Energy Stations
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摘要 经济社会的快速发展,终端用能电气的使用率得到大幅度提升,从而导致制冷用电负荷日渐增加,峰谷差情况十分严峻,而配电网允许负担,但也受到极大的影响。基于此,将综合能源站(IES)作为多功能耦合节点,将多项柔性调控功能引入自配电网,分析城市配电网多阶段负荷情况和特征,并总结提出了综合能源站柔性调控作用的城市配电网多阶段规划策略,对IEEE33节点配电系统进行修改并校验,进而将柔性调控作用的城市配电网多阶段规划策略应用于某地区152节点配电系统,分析不同负荷特征下配电网产生的经济效益、负荷峰谷的差值和运行状况,得出IES城市配电网多阶段规划方法的应用价值。 With the rapid development of economy and society, the utilization rate of terminal energy-consuming electricity has been greatly improved, resulting in an increasing load of cooling electricity, the peak-to-valley difference is very severe, and the distribution network allows the burden,but it is also greatly affected. Based on this, the integrated energy station(IES) is used as a multi-functional coupling node, and a number of flexible control functions are introduced into the self-distribution network, the multi-stage load situation and characteristics of the urban distribution network are analyzed,and the flexible control function of the integrated energy station is summarized and proposed. The multi-stage planning strategy of urban distribution network based on the IEEE33 node distribution system was modified and verified, and then the multi-stage planning strategy of urban distribution network with flexible regulation was applied to a 152-node power distribution system in a certain area, and the characteristics of different loads were analyzed.The economic benefits of the lower distribution network, the difference between load peaks and valleys and the operating conditions are used to obtain the application value of the IES urban distribution network multi-stage planning method.
作者 万晔 祁佟 WAN Ye;QI Tong(Huai'an Power Supply Branch of State Grid Jiangsu Electric Power Co,Ltd.,Huaian 223001,China)
出处 《江西电力职业技术学院学报》 CAS 2022年第6期7-9,共3页 Journal of Jiangxi Vocational and Technical College of Electricity
关键词 配电网规划 综合能源站 多节点规划 协同规划 Distribution Network Planning Integrated Energy Station Multi-Node Planning Collaborative Planning
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