Multi-objective Optimal Scheduling Method for Cascade Reservoirs and Its Application Practice
In order to effectively solve the typical large-scale,strongly coupled,multi-objective and multi-constraint complex nonlinear optimization problem of cascade reservoir,a parallel multi-objective optimal scheduling method based on enhanced multi-objective bee colony algorithm(EMOBCO)is proposed in this paper.With the objectives of maximum total power generation,and maximum minimum output during operation period,a multi-objective power optimization scheduling model of cascade reservoir was established,and EMOBCO algorithm and heuristic constraint processing strategy were used to optimize the model.By introducing Fork/Join parallel computing framework to decouple the model solving process,the model solving efficiency is improved effectively.This paper analyzes the adaptability of the multi-objective optimal scheduling method for cascade reservoir in Nam Ou River basin of Laos.Simulation results show that the proposed EMOBCO algorithm has a good distribution of non-inferior scheme sets and high execution efficiency,which provides a useful idea for solving the multi-objective joint optimal scheduling problem of cascade reservoir.
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