Closure of “Differential evolution technique-based short-term economic generation scheduling of hydrothermal systems” by K.K. Mandal, N. Chakraborty

2017 ◽  
Vol 147 ◽  
pp. 313-314
Author(s):  
K.K. Mandal ◽  
N. Chakraborty
Keyword(s):  
Differential Evolution ◽  
Hydrothermal Systems ◽  
Short Term ◽  
Generation Scheduling

scholarly journals Hydrothermal systems generation scheduling using cultural algorithm

2009 ◽  
Vol 11 (1) ◽  
pp. 65-78 ◽  
Author(s):  
Xiaohui Yuan ◽  
Hao Nie ◽  
Yanbin Yuan ◽  
Anjun Su ◽  
Liang Wang
Keyword(s):  
Differential Evolution ◽  
Heuristic Search ◽  
Hydrothermal System ◽  
Selection Criteria ◽  
Optimization Methods ◽  
Hydrothermal Systems ◽  
Cultural Algorithm ◽  
Short Term ◽  
Generation Scheduling ◽  
Simple Selection

This paper proposes an enhanced cultural algorithm to solve the short-term generation scheduling of hydrothermal systems problem, in which differential evolution is embedded into a cultural algorithm and applies two knowledge sources to influence the variation operator of differential evolution and couples with simple selection criteria based on feasibility rules and heuristic search strategies to handle constraints in the cultural algorithm effectively. A test hydrothermal system is used to verify the feasibility and effectiveness of the proposed method. Results are compared with those of other optimization methods reported in the literature. It is shown that the proposed method is capable of yielding higher quality solutions.

An adaptive chaotic differential evolution for the short-term hydrothermal generation scheduling problem

2010 ◽  
Vol 51 (7) ◽  
pp. 1481-1490 ◽  
Author(s):  
Youlin Lu ◽  
Jianzhong Zhou ◽  
Hui Qin ◽  
Ying Wang ◽  
Yongchuan Zhang
Keyword(s):  
Differential Evolution ◽  
Scheduling Problem ◽  
Short Term ◽  
Generation Scheduling

Three Gorges Cascade Hydropower System Joint Simulative Optimal Operation Research in Power Market

2011 ◽  
Vol 347-353 ◽  
pp. 1370-1373
Author(s):  
Jiao Zheng ◽  
Kan Yang ◽  
Ran Zhou ◽  
Yong Huai Hao ◽  
Guo Shuai Liu
Keyword(s):  
Power Market ◽  
Optimal Operation ◽  
Adaptive Genetic Algorithm ◽  
Three Gorges ◽  
Short Term ◽  
Roulette Wheel Selection ◽  
Generation Scheduling ◽  
Hydropower System ◽  
Selection Operator ◽  
Hydropower Stations

The short-term joint optimal operation simulation of Three Gorges cascade hydropower system aiming at maximum power generation benefit is proposed. And a new method for optimizing cascade hydropower station based on Adaptive Genetic Algorithm (AGA) with trigonometric selective operators is presented. In this paper, the practical optimal operation in power market is described. The temporal-spatial variation of flow between cascade hydropower stations is considered, and time of use (TOU) power price is also taken into account. Moreover, a contrast between Tangent-roulette selection operator and traditional one is made. To a certain degree, the results of simulative optimal operation based on several representative hydrographs show that Tangent-roulette wheel selection operator can find a more excellent solution, because the Tangent-roulette one can overcome the fitness requirements of non-negative. The research achievements also have an important reference for the compilation of daily generation scheduling of Three Gorges cascade hydropower system in the environment of power market.

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