Short-term hydro thermal generation scheduling using modified invasive weed optimisation algorithm

2011 ◽  
Vol 2 (4) ◽  
pp. 307 ◽  
Author(s):  
K.R. Krishnanand ◽  
R. Sharma ◽  
P.K. Rout
Keyword(s):  
Short Term ◽  
Thermal Generation ◽  
Invasive Weed ◽  
Optimisation Algorithm ◽  
Generation Scheduling

scholarly journals Short Term Hydro Thermal Scheduling using Lambda Gamma Iteration Method

2012 ◽  
Vol 9 ◽  
pp. 20-26 ◽  
Author(s):  
Deepika Yadav ◽  
R. Naresh ◽  
V.K. Sarda ◽  
Veena Sharma ◽  
Paras Mani Goel
Keyword(s):  
Iteration Method ◽  
Least Square Method ◽  
Power Input ◽  
Least Square ◽  
Short Term ◽  
Thermal Generation ◽  
Hydro Power ◽  
Time Operation ◽  
Generation Scheduling ◽  
Real Time Operation

Abstract: Short term hydrothermal scheduling (STHTS) is a daily planning proposition in power system operation. The main purpose of hydro thermal generation scheduling is to minimize the overall operation cost and to satisfy the given constraints by optimally scheduling the power outputs of all hydro and thermal units under study periods, given electrical load and limited water resource. This paper presents the lambda-gamma iteration method for fixed head hydro-thermal problems. Also, hydro power input-output model with constant head has been developed for Sewa Hydro Electric Power Plant by using the curve fitting techniques by least square method in MATLAB 7.9 version software. From scheduling results, operational decisions can be made for the best performance under changing conditions of load, head, unit availability and other important constraints. Furthermore, these decisions may be used as an effective input to the on-line decision support system for real-time operation of reservoir systems in availability based tariff (ABT) context that results in increased power production and enhanced revenue earnings in the process of planning and management of a water resources project.DOI: http://dx.doi.org/10.3126/hn.v9i0.7068 Hydro Nepal Vol.9 July 2011 20-26

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.

Dual programming methods for large-scale thermal generation scheduling

1998 ◽  
Vol 13 (3) ◽  
pp. 857-863 ◽  
Author(s):  
G. Demartini ◽  
T.R. De Simone ◽  
G.P. Granelli ◽  
M. Montagna ◽  
K. Robo
Keyword(s):  
Large Scale ◽  
Thermal Generation ◽  
Generation Scheduling ◽  
Dual Programming

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.

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