Power Distribution Network Reconfiguration Based on Energy Loss Reduction using Graph Theory
نویسندگان
1 Faculty of Electrical and Computer Engineering, Smart Energy Systems Lab, University of Tabriz, Tabriz, Iran
2 Faculty of Electrical and Computer Engineering, University of Tabriz
3 Department of Electrical Engineering Shahid Beheshti University Tehran, Iran
4 Department of Electrical Engineering Lassonde School of Engineering York University, Toronto, Canada
5 Faculty of Electrical and Computer Engineering, Energy Systems Research Institute, Smart Energy Systems lab, University of Tabriz, Tabriz, Iran
6 Electrical and Computer Engineering Department, University of Tabriz, Tabriz, Iran.
doi
10.22109/jemt.2025.478238.1526چکیده
Most of the investment in the power industry is devoted to enhance and improve the capacity and reliability of the power distribution network, which in turn imposes significant costs on electric power companies to compensate for network loss. Furthermore, in competitive electricity markets, the customers expect the least cost for high-quality power delivery. Distribution feeder reconfiguration, given its complex and discrete nature, is the most suitable and economical approach to reduce energy loss and consequently, improve operational conditions in the management of power distribution networks. In this paper, we propose an optimization method, which schedules annual reconfiguration subject to energy loss constraint and determines the impact of loss reduction caused by the optimization. Various cases, including the presence and absence of distributed generation sources, as well as the uncertainty issues of these sources, have been studied. The proposed method is applied for distribution feeder reconfiguration to minimize the annual loss in two sample distribution IEEE network networks with 33 and 118 buses. The results show that the proposed graph theory-based method, independent of the distribution network dimension and scale, can reconfigure the networks for the minimum loss in the network lines when the load condition varies suddenly or a network fault is created.
