Quantum-PSO based System Stabilizer Optimization for Shipboard Power System

被引：0

作者：

Zhang, Wei ^{[1
]}

Shi, Weifeng ^{[1
]}

Zhuo, Jinbao ^{[1
]}

机构：

[1] Shanghai Maritime Univ, Dept Elect Engn & Automat, Shanghai 201306, Peoples R China

来源：

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年

基金：

中国国家自然科学基金;

关键词：

Shipboard Power System; Marine generator; Dynamic stability performance; Power system stabilizer; Quantum particle swarm optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A quantum particle swarm optimization (QPSO) method for the shipboard power system stabilizer optimal is proposed in this paper. The proposed optimized strategy is inspired by trajectory analysis of the particle swarm optimization and quantum mechanics, and aims at enhancing global search capability. The attractive features of particle swarm optimization are its algorithm simplicity, fast convergence and can avoid the optimization jump into local optimal solution. The simulations are conducted under load change disturbance and short-circuit fault cases for the shipboard power system stabilizer optimization. Simulation results show that the quantum particle swarm optimization strategy can achieve success in shipboard power system dynamic control which indicates the effectiveness, feasibility and robustness of the proposed approach.

引用

页码：9810 / 9814

页数：5

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