改进的人工鱼群算法设计次同步阻尼控制器  

Design of Subsynchronous Damping Controller Based on Improved Artificial Fish Swarm Algorithm

作　　者：邓盼盼[1] 李兴源[1] 王渝红[1] 穆子龙[1] 顾威[1] 

机构地区：[1]四川大学电气信息学院,成都610065

出　　处：《电力系统及其自动化学报》2012年第3期10-15,共6页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金重点项目(51037003);"十一五"国家科技支撑计划项目(2008BAA13B01);四川省科技厅基础应用计划(2010jy0018);国家电网公司科技项目

摘　　要：为了抑制次同步振荡SSO(subsynchronous oscillation),提出了一种改进人工鱼群算法,并基于该算法利用美国电力研究院EPRI(electric power research institute)提出的抑制直流系统次同步振荡的基本原理,设计次同步阻尼控制器。将控制器参数视为自适应参数,以阻尼比为自适应函数,通过改进人工鱼群算法,计算出最优的控制器参数,达到抑制SSO的目的。以2012年四川电网向家坝-上海直流系统的送端交直流混合输电系统为例,验证了该阻尼控制器的有效性。Based on the principle for damping subsynchronous oscillation（SSO） submitted by the Electric Power Research Institute, an improved artificial fish swarm algorithm was proposed to design a subsynchronous damping controller. Regarding the controller parameter of subsynchronous damping controller as adaptive pa- rameters, by means of improved artificial fish swarm algorithm and taking the damping ratio as adaptive func- tion, the optimal controller parameters under various operation conditions are calculated to damp SSO. Taking the simulation models of Xiangjiaba and Shanghai HVDC in Sichuan power grid in 2012 for example, the effec tiveness of the proposed damping controller is verified.

关 键 词：高压直流输电 次同步振荡 次同步阻尼控制器 人工鱼群算法 

分 类 号：TM715[电气工程—电力系统及自动化]