基于改进粒子群算法的两区域互联电力系统负荷频率控制  

Load Frequency Control of Two Area Interconnected Power System Based on Improved Particle Swarm Optimization Algorithm

作　　者：谢龙绛 叶子恒 徐龙艳[2] XIE Longjiang;YE Ziheng;XU Longyan(Electric and New Energy Faculty of China Three Gorges University,Yichang 443000,China;School of Electrical&lnformation Engineering,Hubei University of Automotive Technology,Shiyan 442002,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443000 [2]湖北汽车工业学院电气与信息工程学院,湖北十堰442002

出　　处：《电工材料》2025年第1期62-69,73,共9页Electrical Engineering Materials

基　　金：湖北省教育厅科研计划重点项目(D202111802);湖北省科技厅重点研发计划(2022BEC008)。

摘　　要：针对新型能源在互联电力系统中对负荷频率的影响较大、控制困难等问题,提出了一种基于透镜成像反向学习改进粒子群算法的PID控制策略。以火电机组-风电机组的两区域互联电力系统为研究对象,建立负荷频率控制模型,引入透镜成像反向学习策略的粒子群算法实现模型中PID控制器的参数整定。通过仿真试验,将多种同类型智能优化算法与改进的粒子群算法做横向对比,验证改进后算法的优越性。随后将改进后的粒子群算法与原算法、另一种动态反向学习粒子群算法做纵向对比试验,得到算法适应度值收敛曲线、频率偏差曲线、区域控制偏差曲线、联络线功率偏差曲线。仿真结果表明,基于透镜成像反向学习改进粒子群算法的PID控制策略收敛速度快、寻优精度高,且具有更好的抗干扰性,控制效果优于另外两种算法,能够很好改善互联电力系统负荷频率的稳定性。A PID control strategy based on lens imaging reverse learning and improved particle swarm optimization(PSO)was proposed to solve the problem that the frequency of new energy sources participating in interconnected power system is easily affected and the difficult to control.A load frequency control model was established based on the interconnected power system of thermal power unit and wind power unit.The PSO algorithm based on the lens imaging reverse learning strategy was introduced to realize the parameter tuning of PID controller in the model.Through simulation experiments,a variety of intelligent optimization algorithms of the same type were compared with the improved particle swarm optimization algorithm,and the superiority of the improved algorithm was verified.Then the improved particle swarm optimization algorithm was compared with the original algorithm and another dynamic reverse learning particle swarm optimization algorithm,and the convergence curve of fitness value,frequency deviation curve,area control deviation curve and power deviation curve of the contact line were obtained.The simulation results show that the PID control strategy based on the improved PSO based on the reverse learning of lens imaging has low fitness value,fast convergence speed,high optimization accuracy,and better anti-interference,and the control effect is better than the other two algorithms,and can improve the stability of the load frequency of the interconnected power system.

关 键 词：粒子群算法 透镜成像反向学习 互联电力系统 风力发电 负荷频率控制 

分 类 号：TM712[电气工程—电力系统及自动化]