Multi-agent Based Distributed Genetic Algorithm Applied to the Optimization of Self-Adaptive PID Parameters of Hydro-turbine

摘要：

It is often long time-consuming for applying the traditional genetic algorithm to the PID optimization of hydroturbine governor. To address such issue, a multi-agent based distributed genetic algorithm (MAGA) is proposed. Based on establishment of the non-linear digital simulation model of generating units, a distributed mobile computing platform implementing MAGA is built using agent middle ware, on which, the optimization for the self-adaptive PID governor is performed under different operating conditions. The simulation results show that the proposed MAGA can not only obtain good optimization performance compared with the conventional genetic algorithm, but shorten the optimization time significantly. Apparently, the proposed method provides a new perspectives and solutions to solve the optimization problem of complex control system.

关键词： Multi-agent System Parallel genetic algorithm Three-gorge generating units Self-adaptive PID JADE

作者: Meng Anbo Peng Xiangang Yin hao

作者单位: Guangdong University of Technology, Guangzhou, Guangdong, 510006, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 359-363

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）