A modified particle swarm optimizer for optimal operation of hydropower station
Yang Juxiang · Journal of Hydroelectric Engineering · 2007
Particle swarm optimizer(PSO) searches the best solution of a problem by remembering and following the excellent particle and updating own position and speed continuously.In order to overcome the defect of premature and difficulty of dealing with constraint,this paper presents a modified adaptive PSO(MAPSO) which expresses inertia weight in a function determined by the evolution speed and the fitness variance of particle swarms and proposes a constraint handling strategy suit for PSO.A hydropower station operation demonstrates the successful application of the modified adaptive PSO.Study results show that the MAPSO is a simple,programming easily optimal algorithm and can find the global optimum solution quickly compared with traditional method.