Abstract
The paper presents an algorithm combining simplex downhill search particle swarm optimization (SDSPSO) for solving reservoir operation optimization (ROO) problems, with a new search strategy: reflecting the worst particle through the particle swarm centroid to generate a new particle and guiding the evolution direction of each particle. The ROO problem is a complicated dynamically constrained nonlinear, non-convex optimization problem that is important for reservoir operation system, consisting of continuous control variables. The proposed algorithm is examined on Three Gorges Project (TGP) that provided a better operational effect result with greater effectiveness and obtains more power generation with lower insurance rate reservoir sum runoff.
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