Junpeng Zhu, Yi Zhou, Xiaofeng Dong, 等. Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1336-1346.
Junpeng Zhu, Yi Zhou, Xiaofeng Dong, et al. Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1336-1346.
Junpeng Zhu, Yi Zhou, Xiaofeng Dong, 等. Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(3):1336-1346.DOI: 10.17775/CSEEJPES.2023.00150.
Junpeng Zhu, Yi Zhou, Xiaofeng Dong, et al. Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement[J]. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1336-1346.DOI: 10.17775/CSEEJPES.2023.00150.
Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement
摘要
Abstract
With the reform of the power system further deepening
the reliance on electricity and importance attached to the reliable power supply are increasing year by year
and the establishment of a high resilient power system has considerable economic
environmental and social benefits. Reconfiguring the network is one of the well-known tactics to enhance reliability. Accordingly
this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability
which reconfigures the network structure both under normal operation conditions and outage scenarios
and considers factors such as power loss
load distribution and voltage quality considered in conventional reconfiguration methods. In this paper
the reliability assessment is integrated into the process of distribution network reconfiguration by using binary variables to represent the operating state of switchable devices. Based on the concept of fictitious fault flows
the reliability indices of distribution network are linearized expressed
and the network loss is reduced by minimizing the voltage deviation. A mixed integer linear programming (MILP) model is established for distribution network reconfiguration problem
which can guarantee the global optimal solution with high solution efficiency. Finally
the applicability and effectiveness of the proposed method are verified by numerical tests on a 54-node test system.