Open AccessA Novel Reconfiguration Strategy of Distribution Network
Author(s) -
Xu Andy Sun,
Yanzhen Li,
Mei Cui
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/6/062042
Subject(s) - node (physics) , computer science , mathematical optimization , particle swarm optimization , control reconfiguration , reliability (semiconductor) , power (physics) , limit (mathematics) , power balance , topology (electrical circuits) , distribution (mathematics) , algorithm , mathematics , engineering , embedded system , mathematical analysis , physics , structural engineering , quantum mechanics , combinatorics
Distribution network reconstruction is important for the reliable operation of distribution network. This paper establishes a mathematical model by using random weight for multi-objective optimization. A new algorithm is proposed based on binary particle swarm optimization (BPSO) algorithm, which can quickly adjust topology and cut off load in limit state. The new algorithm improves the distribution network’s reliability with the advantages of lowest power loss, better load balance and highest power supply capacity. Finally, the performance of the proposed method is tested on IEEE 33-node power distribution system.