电网技术2012，Vol.36Issue(10)：23-29,7.
基于QPSO与BPSO算法的动态微电网多目标优化自愈
Multi-Objective Optimal Self-Healing of Dynamic Microgrid Based on Quantum-Based PSO and Binary PSO
摘要
Abstract
A concept of dynamic microgrid is proposed. Leading multi-agent system (MAS) into coordinated control of dynamic microgrid, an MAS-based self-healing mathematical model of dynamic microgrid is built. To implement multi-objective optimal self-healing of the built model, combining the quantum-based particle swarm optimization (QPSO), with binary particle swarm optimization (BPSO), an algorithm that can simultaneously perform multi-objective optimization of network structure of dynamic microgrid and power output of distributed generation units is put forward. Calculation results show that the self-healing of dynamic microgrid in emergency conditions can be achieved.关键词
动态微电网/多代理系统/自愈性/多目标优化/粒子群优化算法Key words
dynamic microgrid/ multi-agent system (MAS)/ self-healing/ multi-objective optimal/ PSO分类
信息技术与安全科学引用本文复制引用
王兆宇,艾芊..基于QPSO与BPSO算法的动态微电网多目标优化自愈[J].电网技术,2012,36(10):23-29,7.基金项目
国家自然科学基金项目(51077092). （51077092）
