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Parallel improved DPSA algorithm for medium-term optimal scheduling of large-scale cascade hydropower plants by Zhou Fang; Shengli Liao; Chuntian Cheng; Hongye Zhao; Benxi Liu; Huaying Su is a Engineering article available to read on EtoBox.

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Medium-term optimal scheduling of hydropower plants (MOSHPP) should be frequently updated for recurring extreme precipitation events in China to reduce spillage and increase power generation; however, the curse of dimensionality makes obtaining a satisfactory solution in an acceptable time difficult. In this paper, a parallel improved dynamic programming with successive approximation (PIDPSA) for MOSHPPs is proposed to improve the solution quality and meet time requirements. The solution quality is improved by successive approximation of multiple plants instead of one plant for considering more hydraulic connections, a state space reduction strategy combined with constraint preprocessing is adopted to reduce unnecessary calculations and the fine-grained parallelism based on the fork/join framework is employed to greatly shorten the solution time. The proposed method was applied to 11 hydropower cascade plants in the Lancang River with a time horizon of 30 days. The results showed that higher quality solutions can be obtained by IDPSA than conventional methods and DPSA, and the space reduction strategy can effectively improve the solution efficiency. The computation time of PIDPSA d

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Author

Zhou Fang; Shengli Liao; Chuntian Cheng; Hongye Zhao; Benxi Liu; Huaying Su

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)