Title :
A hybrid algorithm for mid-long term hydrothermal generation scheduling
Author :
Shu Jun ; Hong Yunfeng ; Zhang Zhifu ; Huang Xianchao
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
The paper presents a deterministic model, which takes into account the final water storage and the effects of water head, for optimal mid-long term generation scheduling of a hydrothermal system. Considering its large scale mixed integer nonlinear structure, a hybrid algorithm based on Genetic Algorithm and decomposition algorithm is developed to solve it. The model is divided into thermal power dispatch and hydro power dispatch subproblems respectively by using reservoir volumes as genetic variables which consider the complex relationship between reservoirs. These two subproblems are independently solved according to their own characteristics. The simulation results reveal that comparing with GA the hybrid algorithm is an effective method with shorter computation time and higher precision.
Keywords :
genetic algorithms; hydrothermal power systems; power generation scheduling; decomposition algorithm; deterministic model; final water storage; genetic algorithm; hybrid algorithm; hydro power dispatch; hydrothermal system; mid-long term hydrothermal generation scheduling; mixed integer nonlinear structure; thermal power dispatch; water head effects; Computational modeling; Genetic algorithms; Hydroelectric power generation; Mathematical model; Power systems; Reservoirs; decomposition algorithm; genetic algorithm; hydrothermal scheduling; mid-long term;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025932