基于鱼鹰优化算法的电力系统无功优化

Osprey Optimization-based Reactive Power Optimization of Power Systems

为了提高电力系统运行的安全性、经济性,减少系统有功损耗带来的不良影响,提出基于鱼鹰优化算法(OOA)来解决电力系统的无功优化问题,以有功损耗最小为目标函数,建立无功优化的数学模型。最后在IEEE 30节点系统无功优化上与PSO算法进行仿真比较,结果表明OOA算法收敛更高效,不容易陷入局部最优,可使系统有功损耗更低,证明该算法应用在电力系统是可行的。

In order to improve safety and economy of power system operation and reduce the adverse impact of active power loss,this paper proposes the use of osprey optimization algorithm(OOA)to achieve reactive power optimization,and the modeling of reactive power optimization with an objective function minimizing active power loss.Comparative simulation conducted on IEEE 30 node system using MATLAB platform shows that OOA is superior to PSO algorithm in convergence speed,tolerance to local optima,and suppression of system active power losses,and is applicatory in power systems.