基于PSO-ABFO的负荷频率控制系统控制器设计与优化  

Design and optimization of load frequency control system controller based on PSO-ABFO

作　　者：田园园 金国强[2] 彭道刚 何钧 孙宇贞 TIAN Yuanyuan;JIN Guoqiang;PENG Daogang;HE Jun;SUN Yuzhen(Automation Engineering of Shanghai University of Electric Power,Shanghai 200090,China;Xi’an Thermal Power Research Institute Co.,Ltd.,Xi'an 710032,China;Electric Power Science Research Institute,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330096,China)

机构地区：[1]上海电力大学自动化工程学院,上海200090 [2]西安热工研究院有限公司,陕西西安710032 [3]国网江西省电力有限公司电力科学研究院,江西南昌330096

出　　处：《电力科学与技术学报》2021年第6期120-127,共8页Journal of Electric Power Science And Technology

基　　金：上海市“科技创新行动计划”高新技术领域项目(16111106300,17511109400);上海市科学技术委员会工程技术研究中心资助(14DZ2251100)。

摘　　要：负荷频率控制对于保障电网本身安全可靠运行有重要作用,适宜的控制器整定参数使得电网在各种随机扰动下能维持系统频率稳定和长期安全运行。针对单区域两机组电网的负荷频率控制器参优化整定问题,提出一种基于粒子群改进自适应细菌觅食优化算法(PSO-ABFO)的控制器参数整定设计方法。PSO-ABFO在标准细菌觅食算法的基础上,结合粒子群(PSO)算法思想引入全局最优、个体最优以及自适应步长,重新定义细菌的健康度并修改细菌迁移的方式,提高算法的寻优速度和寻优精度。最后,建立负荷频率控制系统(LFC)模型进行仿真试验,验证所提控制器设计与优化方法使系统动态性能显著提升。The load frequency control plays an important role in ensuring the security and reliable operation of the power grid.The appropriate controller parameter setting ensures frequency stability and long-term security of power systems under various random disturbances.To achieve the optimal setting of load frequency controller of a single-area two-generator power grid,this paper proposes a controller parameter tuning method based on particle swarm optimization adaptive bacterial foraging optimization(PSO-ABFO),which is based on the standard BFO and combines the idea of PSO to introduce global optimization,individual optimization and adaptive step size,etc.The speed and accuracy of the proposed algorithm is significantly improved.A load frequency control system(LFC)model is established to test the performance of the proposed algorithm.The results verifies that the improvement of the dynamic performance of the system.

关 键 词：粒子群算法 细菌觅食优化算法 PSO-ABFO 负荷频率控制 参数优化 

分 类 号：TM621.6[电气工程—电力系统及自动化]