摘要
以电力系统状态完全可观测和相量测量装置(PMU)配置数目最少为目标,提出概率偏移二进制粒子群优化配置算法。该算法是全局优化算法,可得到多组可行解。针对普通二进制粒子群算法收敛较慢的缺点,在算法中引入概率偏移因子,根据节点出线度的差异,设置不同的取0或1的概率,从而提高了收敛速度。最后,采用新英格兰39节点系统和湖南长株潭42节点系统算例对所提方法进行了验证。
Taking the full network observability of power system operation state and the least number of phasor measurement units（PMU） as objective, this paper proposes an optimal PMU placement algorithm based on probability shifting binary particle swarm optimization（PBPSO）. Binary particle swarm optimization （PSO） is a global optimization which may get diverse feasible solutions. Considering the deficiency of convergence rate in conventional BPSO, a probability shifting factor is introduced to adjust the probability of value on 0 or 1 according to bus-outlet number so that the convergence rate of solutions is improved. The effectiveness of proposed algorithm is verified by the numerical calculation results of New England 39-bus system and Hunan Chang-Zhu-Tan 42-bus system respectively.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2010年第2期5-10,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(50677015)
关键词
二进制粒子群算法
相量测量单元
概率偏移
可观测性
binary particle swarm optimization（BPSO）
phasor measurement unit（PMU）
probability shift- ing
network observability
