Optimal scheduling of large hydro-thermal power system

A synthesized algorithm for hydro abundant systems with parallel and cascade hydro power stations is presented. By using dynamic programming, network flow programming and the decomposition method, and taking account of nonlinearity of the hydro system and time-varying starting costs, an affective method is proposed to enhance computing accuracy and computing speed. The results show that the algorithm proposed is efficient and reliable.<
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