科研之友
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摘要
This paper proposes an enhanced particle swarm optimization algorithm (EPSO) to solve optimal daily hydro generation scheduling problem. In the proposed method, the improvements mainly include three aspects. Firstly, the concept of the repellor that acts complementary to the concept of the attractor is introduced into PSO, that is, the particle is made to remember its worst position also. Not only the particle's previously visited best position but also its worst position found so far is add to the PSO to update velocity; secondly, chaotic sequences based on logistic map instead of random sequences is adopted in PSO: thirdly. a feasibility-based selection comparison technique and a heuristic rule are devised to handle constraints effectively in PSO. The feasibility and effectiveness of the proposed EPSO method is demonstrated for optimal daily generation scheduling of a hydro system and the test results are compared with those of other methods in terms of solution quality and convergence property. The simulation results show that the proposed method is able to obtain good solution.
