Open AccessDecomposition‐combination model with parallel computation and its application for optimal operation of cascade power stations
Author(s) -
Pei Zhang,
Changming Ji,
Yanke Zhang,
Pu Zhang,
Hongjie Yu
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0625
Subject(s) - cascade , computer science , computation , dynamic programming , curse of dimensionality , mathematical optimization , decomposition , power (physics) , control theory (sociology) , algorithm , mathematics , engineering , artificial intelligence , ecology , physics , quantum mechanics , chemical engineering , biology , control (management)
In order to alleviate the problem of ‘curse of dimensionality’ in traditional dynamic programming algorithm for cascade reservoirs optimal operation, this study conducts parallel analysis on optimal operation model for maximum output of cascade hydropower stations from the perspective of time and space, and proposed the decomposition–combination model and its solution for optimal operation for cascade reservoir with parallel computation. Finally, the optimal operation for a three‐reservoir cascade system is taken as the case, and the result shows that, for the same discrete points, the result derived by the model proposed in this study could achieve the same result with traditional dynamic programming algorithm, and presents better performance in terms of increasing the solution speed.