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.