中国电机工程学报2013，Vol.33Issue(3)：14-21,前插2,9.
基于改进粒子群算法的PIDNN控制器在VSC-HVDC中的应用
Application of an Improved PSO-based PID Neural Network Controller for VSC-HVDC
摘要
Abstract
An improved niche chaotic particle swarm optimization (INCPSO) method for voltage source converter based high-voltage direct-current (VSC-HVDC) system was presented. It emerges the good features of niche and chaotic mutation evolutionary algorithms for searching the global best parameters of proportional-integral-derivative neural-network (PIDNN). With the introduction of restricted competition selection (RCS) method into the niche mechanism, the global exploration ability of PSO is enhanced. Simultaneously, the precise local exploitation performance can be well achieved by using the chaotic mutation algorithm with tent-mapping functions. The INCPSO can solve the premature phenomenon and local convergence problem of traditional PSO, and give a balance point between the exploration and exploitation capability. The detail steps of parameters optimizing for PIDNN controller in VSC-HVDC system was presented, and a numerical example was carried out to validate the feasibility and effectiveness of INCPSO. Simulation results show that the INCPSO search capability is more accurate, effective and robust. The INCPSO based PIDNN controller provides a feasible control scheme in the offshore wind farm VSC-HVDC system.关键词
比例-积分-微分神经网络/柔性直流输电/海上风电/粒子群优化算法/混沌变异/限制竞争小生境算法/适应度共享/帐篷映射Key words
PID neural network (PIDNN)/ voltage source converter based high-voltage direct-current (VSC-HVDC)/ offshore wind power/ particle swarm optimization (PSO)/ chaotic mutation/ restricted competition selection (RCS) niche/ fitness sharing/ tent map分类
信息技术与安全科学引用本文复制引用
李爽,王志新,王国强..基于改进粒子群算法的PIDNN控制器在VSC-HVDC中的应用[J].中国电机工程学报,2013,33(3):14-21,前插2,9.基金项目
国家自然科学基金重点项目(60934005) （60934005）
国家863计划智能电网关键技术重大项目(2011AA05AA103) （2011AA05AA103）
上海市高新技术产业化重点项目(2009-041) （2009-041）
上海市教育发展基金项目(2010LM26) （2010LM26）
江苏省"六大人才高峰"项目(2010-XNY-001) （2010-XNY-001）
上海市科技发展基金项目(11195802100)资助. （11195802100）
