摘要
电力系统由于无功分布不合理引起的事故越来越多。以系统网损、电压平均偏离、电压安全稳定裕度3个指标建立无功优化模型,引入了动态罚函数体现状态变量约束在优化过程的影响,并用个人偏好约束下的权值分配方法根据用户的需求对各个指标分配权值,采用SFOA算法求得电力系统多目标无功优化在可行域内的最优解。从SFOA算法和PSO算法运用于IEEE 30和IEEE 57节点系统优化结果比较表明:所提出的算法是可行有效的。
More and more accidents are caused by irrational distribution of reactive power of the power system.Using system network losses,voltage average deviation and margin of voltage security and stability as indicators to establish reactive power optimization model,introducing a dynamic penalty function reflects the state variable constraints in the optimization process,and under the personal preference constraint,utilizing weight allocation strategy to assign the weight of each indicator according to the users＇ requirement.Employing SFOA algorithm to get the optimal solution in the feasible region of multi-objective reactive power system optimization problem.The SFOA algorithm and PSO algorithm are applied to IEEE 30 and IEEE 57 node system optimization,and the results show that the proposed algorithm is feasible and effective.
出处
《南方电网技术》
2011年第6期55-59,共5页
Southern Power System Technology
关键词
动态罚函数
个人偏好
模拟渔夫捕鱼寻优算法(SFOA算法)
多目标无功优化
dynamic penalty function
personal preference
FSOA（simulating fisher fishing optimization algorithm）
multi-objective reactive power optimization
