Multi-Objective Active Distribution Network Optimization Reconfiguration Considering Soft Open Point and Demand Response

Kaiyuan DONG , Min XIE , Ying LU , Shiping ZHANG , Yanxuan LU , Yuxing XIE

›› 2025, Vol. 19 ›› Issue (5) : 37 -48.

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›› 2025, Vol. 19 ›› Issue (5) : 37 -48. DOI: 10.13648/j.cnki.issn1674-0629.2025.05.004
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Multi-Objective Active Distribution Network Optimization Reconfiguration Considering Soft Open Point and Demand Response

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Abstract

In the context of a high proportion of clean energy integration into the distribution network, the optimization and reconfiguration of the active distribution networks is investigated by integrating soft open points (SOP) and demand response (DR) into the networks. A strategy for reconfiguring the distribution network considering both SOP and DR is proposed. Firstly, models for SOP and DR within the distribution network are established. By comprehensively considering loss cost, operational cost, and load imbalance as optimization objectives, a multi-objective optimization model for active distribution network reconfiguration incorporating SOP and DR is formulated. Subsequently, an improved normalized normal constraint method (NNC) is employed to solve the three-objective optimization problem and obtain the complete Pareto frontier for the trade-off optimal solutions. Finally, simulation verification is carried out using the IEEE 33-node distribution system as an example. The results demonstrate that the reconfiguration strategy which considers both SOP and DR can effectively enhance the economic efficiency of the distribution network, improve the absorption capacity of clean energy, and reduce the load imbalance degree of the system lines.

Keywords

soft open point / Pareto frontier / multi-objective distribution network reconfiguration / active distribution network / demand response

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Kaiyuan DONG,Min XIE,Ying LU,Shiping ZHANG,Yanxuan LU,Yuxing XIE. Multi-Objective Active Distribution Network Optimization Reconfiguration Considering Soft Open Point and Demand Response. 2025, 19(5): 37-48 DOI:10.13648/j.cnki.issn1674-0629.2025.05.004

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the Guangdong Provincial Basic and Applied Basic Research Fund General Project(2022A1515240074)

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