改进量子粒子群算法在配电网故障恢复中的应用

Application of Improved Quantum Particle Swarm Algorithm in Fault Recovery of Distribution Networks

摘要: 配电网故障通常会导致大规模、长时间的停电，为了缩短停电时间，降低停电对社会带来的损失，本文选取了网损大小和电压偏移作为目标函数，建立了配电网故障恢复模型。针对粒子群算法精度不够高的问题，本文使用了量子粒子群算法，并对量子粒子群算法做了两点改进，分别是十进制编码策略和配电网分层策略。最后使用IEEE33节点系统进行案例验证，验证了改进量子粒子群算法在配电网恢复重构中的适用性和有效性。

Abstract: Distribution network faults usually lead to large-scale and long-term power outages. In order to shorten the power outage time and reduce the losses caused by power outages to the society, this paper selects the network loss and voltage offset as the objective function, and establishes a distribution network fault recovery model. Aiming at the problem that the precision of the particle swarm algorithm is not high enough, this paper uses the quantum particle swarm algorithm, and makes two improvements in the quantum particle swarm algorithm, namely the decimal coding strategy and the distribution network layering strategy. Finally, the IEEE33 node system is used for case verification, and the applicability and effectiveness of the improved quantum particle swarm algorithm in distribution network restoration and reconstruction are verified.