Mixed-integer Second-order Cone Programming Model for Topology Optimization of Transmission Network and Accelerated Solution Method for Neighborhood Search
Application Research|更新时间:2025-06-16
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Mixed-integer Second-order Cone Programming Model for Topology Optimization of Transmission Network and Accelerated Solution Method for Neighborhood Search
Automation of Electric Power SystemsVol. 49, Issue 3, Pages: 170-177(2025)
作者机构:
1.广西电力系统最优化与节能技术重点实验室(广西大学),广西壮族自治区南宁市 530004
2.广西电网有限责任公司电力科学研究院,广西壮族自治区南宁市 530023
作者简介:
基金信息:
National Natural Science Foundation of China(52267006);Guangxi Special Fund for Innovation-driven Development(桂科AA19254034┫资金资助项目)
LI Peijie,YU Junlian,SUN Zhiyuan.Mixed-integer Second-order Cone Programming Model for Topology Optimization of Transmission Network and Accelerated Solution Method for Neighborhood Search[J].Automation of Electric Power Systems,2025,49(3):170-177.
LI Peijie,YU Junlian,SUN Zhiyuan.Mixed-integer Second-order Cone Programming Model for Topology Optimization of Transmission Network and Accelerated Solution Method for Neighborhood Search[J].Automation of Electric Power Systems,2025,49(3):170-177. DOI: 10.7500/AEPS20240318001.
Mixed-integer Second-order Cone Programming Model for Topology Optimization of Transmission Network and Accelerated Solution Method for Neighborhood Search
in power systems are on the rise. Topology optimization can eliminate the problem of power flow overload by transforming the network topology. However
the complex model transformation logic and the introduction of large-scale integer variables significantly increase the complexity of modeling and the difficulty in solving. Therefore
this paper proposes a topology optimization method for the transmission network that considers the topology transformation of the main connection line. Firstly
based on the general transformation model for main connection topology of substations
a mixed-integer second-order cone programming (MISOCP) model is established. The model can not only consider the impact of topology transformation on active power flow
but also take into account the constraints of reactive power balance and voltage
solving the problem that previous topology optimization models based on DC power flow may have potentially optimistic scheduling modes or even deteriorated voltage indicators when eliminating the active power overload. Secondly
to solve the proposed model efficiently
an accelerated solution method for neighborhood search is proposed. Finally
simulation calculations are conducted on IEEE 14-bus
IEEE118-bus
and Polish 2383-bus systems. The results show that the proposed optimization model can solve the problem of line overload economically and effectively
and the proposed solving method can improve the solving efficiency of the proposed model.
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