中国电机工程学报2011，Vol.31Issue(3)：8-13,6.
粒子群与PIDNN控制器在VSC-HVDC中的应用
Application of PSO and PIDNN Controller for VSC-HVDC
摘要
Abstract
The double closed-loop PI regulator is widely used for the control of wind farm side and grid side converters in the VSC-HVDC system for offshore wind farms. But there are too many PI regulators, so it is difficult to adjust all the parameters. In this paper we designed PID neural network controller combined with particle swarm optimization (PSO).And it was used to control the converters of VSC-HVDC. First simple improvement was carried out based on PIDNN structure characteristic. We set the linking weights of the first two layers as constant values. Only the interlayer and output layer linking weights of PID neural network (PIDNN) were used as the optical parameters of PSO. It reduced dimension of particles and improved training speed obviously. Then the conventional PID controller was replaced with PIDNN controller. Simulation research was carried out based on transfer function of converters control system. Simulation results show that the transient and steady state performance is improved compared with conventional PI controllers. Training times can be reduced significantly compared with conventional PIDNN and PSO algorithm. It lays a foundation for on line training and improves a feasible control strategy for VSC-HVDC.关键词
合作粒子群/海上风电场/PID神经网络/柔性直流输电分类
信息技术与安全科学引用本文复制引用
王国强,王志新..粒子群与PIDNN控制器在VSC-HVDC中的应用[J].中国电机工程学报,2011,31(3):8-13,6.基金项目
国家自然科学基金重点项目(60934005) （60934005）
中国博士后基金项目(20080440088) （20080440088）
上海市高新技术产业化重点项目计划(2009-041) （2009-041）
上海市科技发展基金项目(09195802900) （09195802900）
上海市教育发展基金项目(2010LM26). （2010LM26）
