Optimal short-term hydrothermal generation scheduling using modified seeker optimisation algorithm

2012 ◽  
Vol 15 (4) ◽  
pp. 250
Author(s):  
K.R. Krishnanand ◽  
Ankita Mohapatra ◽  
B.K. Panigrahi ◽  
Pravat Kumar Rout ◽  
Manas Kumar Mallick
Keyword(s):  
Short Term ◽  
Optimisation Algorithm ◽  
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.

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.

scholarly journals The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station

2018 ◽  
Vol 2018 ◽  
pp. 1-29
Author(s):  
Zhe Yang ◽  
Kan Yang ◽  
Lyuwen Su ◽  
Hu Hu
Keyword(s):  
Cloud Model ◽  
Activation Mechanism ◽  
Hydropower Station ◽  
Utilization Rate ◽  
Search Performance ◽  
Integer Optimization ◽  
Shuffled Frog Leaping Algorithm ◽  
Short Term ◽  
Generation Scheduling ◽  
Shuffled Frog Leaping

The short-term hydro generation scheduling (STHGS) decomposed into unit commitment (UC) and economic load dispatch (ELD) subproblems is complicated problem with integer optimization, which has characteristics of high dimension, nonlinear and complex hydraulic and electrical constraints. In this study, the improved binary-real coded shuffled frog leaping algorithm (IBR-SFLA) is proposed to effectively solve UC and ELD subproblems, respectively. For IB-SFLA, the new grouping strategy is applied to overcome the grouping shortage of SFLA, and modified search strategies for each type of frog subpopulation based on normal cloud model (NCM) and chaotic theory are introduced to enhance search performance. The initialization strategy with chaos theory and adaptive frog activation mechanism are presented to strengthen performance of IR-SFLA on ELD subproblem. Furthermore, to solve ELD subproblem, the optimal economic operation table is formed using IR-SFLA and invoked from database. Moreover, reserve capacity supplement and repair, and minimum on and off time repairing strategies are applied to handle complex constraints in STHGS. Finally, the coupled external and internal model corresponding to UC and ELD subproblems is established and applied to solve STHGS problem in Three Gorges hydropower station. Simulation results obtained from IBR-SFLA are better than other compared algorithms with less water consumption. In conclusion, to solve STHGS optimization problem, the proposed IBR-SFLA presents outstanding performance on solution precision and convergence speed compared to traditional SFLA effectively and outperforms the rivals to get higher precision solution with improving the utilization rate of waterpower resources.

Short-Term Power Generation Scheduling via Robust Optimization†

2015 ◽  
pp. 1-12
Author(s):  
Chaoyue Zhao ◽  
Yonghong Chen ◽  
Yongpei Guan ◽  
Qianfan Wang ◽  
Xing Wang
Keyword(s):  
Power Generation ◽  
Robust Optimization ◽  
Short Term ◽  
Generation Scheduling
Sign in / Sign up

Export Citation Format

Share Document