摘要
根据配电网中的一些设备如分布式发电机的非线性特性和配电网的量测配置特点,并结合粒子群优化(PSO)算法的特点,提出了采用带变异算子的PSO算法进行配电网状态估计。该算法解决了配电网状态估计中的非线性特性,算法中引入变异算子,增强了全局搜索能力,克服了基本PSO算法容易陷入局部最优点的缺点,而且收敛速度和精度都很理想。算例证实了算法的有效性,通过和基本粒子群算法比较显示其优越性。
The paper presented a distribution state estimation method using particle swarm optimization with mutation operators,according to the nonlinear characteristics of some equipments such as distributed generators and measure configuration characteristics of the distribution network, taking the characteristics of particle swarm optimization algorithm into consideration. The proposed method solved nonlinear problems of the distribution state estimation. The introduced mutation operators improved the global search ability and overcame the disadvantage of the basic PSO being easily got into partial optimum point. The convergent speed and precision were ideal. Study cases showed the validity of the algorithm. The compare with basic particle swanaa algorithm showed its superiority.
出处
《江苏电机工程》
2006年第4期18-20,共3页
Jiangsu Electrical Engineering
关键词
配电网
状态估计
粒子群优化算法
变异算子
distribution network
state estimation
particle swarm optimization
mutation operator
