改进的差分进化算法优化负荷频率控制

Load Frequency Control Using Improved Differential Evolution Algorithm

负荷频率控制(LFC)是保证供电质量及电力系统安全、可靠与经济运行的一种重要的手段。针对互联电力系统中负荷频率控制的特性,对控制参数保持不变的常规差分进化算法进行了改进,提出了一种根据进化代数的变化控制参数中的缩放因子和交叉概率因子也相应的进行变化,保证了进化初期对种群的多样性要求高以提高算法全局搜索能力以及进化后期对局部搜索能力要求较高以提高算法的精度和加快收敛速度。最后推导出两区域互联电力系统负荷频率控制的控制模型,将改进的差分进化算法用于优化其PI控制器参数,仿真结果表明改进后的优化算法在优化PI控制器参数性能上要优于传统的优化算法,即保证系统具有良好的动态性能下仍具有很好的鲁棒特性。

Load frequency control(LFC) is an important technique in providing good power quality and maintaining safety,reliability and economics of power systems.This paper presents an adaptive differential evolution algorithm for load frequency control of interconnected power system,and the basic idea is that scaling factor and crossover probability factor do vary with evolution of the generation,in order to ensure the early stage of evolution of the diversity of the population to improve the algorithm requiring high global search capability as well as the later stage of the evolution of local search algorithms requiring a higher capacity to improve the accuracy and speed up the convergence.Finally,optimizing PI controller parameter using the improved differential evolution algorithm for two-area interconnected power system load frequency control model,simulation results show that its performance is superior to the PI controller optimized by traditional optimization algorithms,that is,that the system has a good dynamic performance as well as a good robust performance.