摘要
将搜寻者优化算法(SOA—Seeker Optimization Al-gorithm)应用到电力系统无功优化中去,以网损最小为目标函数,建立了SOA无功优化的数学模型。由发电机端电压、变压器分接头和电容器组3部分控制变量构成初始矩阵。SOA算法模拟人的随机搜索行为,对利己行为、利他行为、预动行为和不确定性推理行为进行分析和建模,以确定搜索方向和步长进行解的全局搜索。对IEEE30、IEEE57测试系统进行了测试,仿真结果表明,SOA算法具有较好的全局寻优能力和较快的收敛速度,能有效地应用到电力系统无功优化中去。
Seeker Optimization Algorithm （SOA） is used in reactive power optimization problem in electric power system. The model of reactive power optimization is established by taking the minimum network losses as the objective. Generator voltage, transformer tap and capacitor tank are adopted to establish the initial matrix in reactive power optimal modeling. The new algorithm is based on simulation of human random searching behaviors, such as egotistic be- havior, altruistic behavior, pro-activeness behavior and uncertainty reasoning behavior. Theses behaviors are modeled to determine search direction and step length. The algorithm is applied to IEEE30 and IEEE57 systems. Simulation results show that the seeker optimization algorithm has a fast convergence speed and good global search ability, and can be efficiently used for reactive power optimization.
出处
《现代电力》
2008年第2期38-41,共4页
Modern Electric Power
关键词
无功优化
全局优化
搜寻者优化算法
粒子群优化
电力系统
reactive power optimization
global optimization
seeker optimization algorithm
particle swarm optimization
power system
