A Two-layer Framework for Mitigating the Con-gestion of Urban Power Grids Based on Flexible Topology with Dynamic Thermal Rating

作     者：Yi Su Jiashen Teh Qian Luo Kangmiao Tan Jiaying Yong 

作者机构：the School of Automation and Electronic In-formationXiangtan Universityxiangtan 411100China IEEE the School of Electrical and Electronic EngineeringUniversiti Sains Malaysia(USM)Penang 11800Malaysia the School of Computer SciencesUniversiti Sains Malaysia(USM)Penang 11800Malaysia the Institute of Power EngineeringCollege of EngineeringUniversiti Tenaga Nasional(UNITEN)Kajang 43000Malaysia 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2024年第9卷第4期

页      面：83-95页

核心收录：

学科分类：08[工学] 0824[工学-船舶与海洋工程] 

基　　金：supported by the Universiti Sains Malaysia Research University Team(RUTeam)Grant Scheme(No.1001/PELECT/8580011) 

主　　题：Congestion mitigation urban power grid two-layer framework transitioning sequence dynamic thermal rating 

摘      要：The urban power grid(UPG)combines transmission and distribution *** studies on UPG congestion mitigation have primarily focused on relieving local congestion while ignoring large-scale energy transfer with safety margins and load *** situation is expected to worsen with the proliferation of renewable energy and electric *** this paper,a two-layer congestion mitigation framework is proposed,one which considers the congestion of the UPG with flexible *** the upper-layer,the particle swarm optimization algorithm is employed to optimize the power supply distribution(PSD)of substation *** is known as the upper-layer *** lower-layer model recalculates the new PSD,known as the lower-layer PSD,based on the topology candidates.A candidate topology is at an optimum when the Euclidean distance mismatch between the upper-and lower-layer PSDs is the *** optimum topology is tested by standard power flow to ascertain its *** optimum transitioning sequence between the initial and optimum topologies is also determined by the two-layer framework to minimize voltage deviation and line overloading of the UPG considering dynamic thermal *** proposed framework is tested on a 56-node test *** show that the proposed framework can significantly reduce congestion,maintain safety margins,and determine the optimum transitioning sequence.