Optimal short-term hydro scheduling from the principle of progressive optimality

This paper presents an algorithm based on the principle of progressive optimality for determining the optimal short-term scheduling of multireservoir power systems; the method takes into account water head variations, spilling, and time delays between upstream and downstream reservoirs. The method is computationally efficient and has minimal storage requirements. The convergence is monotonic and a global solution is reached. Contrary to dynamic programing, the state variables do not have to be discretized with this method. An example consisting of four hydroplants in series is solved, and the results are presented.

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