Short Term Hydro Thermal Scheduling by Artificial Fish Swarm Algorithm

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2016, 2016

3659943746 / 9783659943744

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This item is printed on demand - Print on Demand Titel. Neuware -Operation of a system having both hydro and thermal plants is far more complex than the system having only thermal plants. The hydro plants have negligible operating cost, but are required to operate under constraints of water available for hydro generation in a given period of time. The problem of minimizing the operating cost of a hydrothermal system can be viewed as one of minimizing the fuel cost of thermal plants under the constraints of water availability (storage and inflows) for hydro generation over a given period of operation several AI methods, such as Genetic Algorithm, Evolutionary programming, Particle swarm Optimization and Differential Evolution are utilized to find out the optimal solution of constrained optimization problem but, because of certain drawbacks such as drastic growth of computational and dimensional requirements and insecure convergence properties, these optimization technique are not suitable for such problem. Thus Artificial Fish Swarm Algorithm (AFSA) a new optimization technique has been adopted for solving the hydro thermal scheduling problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.…

Seller Inventory # 9783659943744

Title
Short Term Hydro Thermal Scheduling by Artificial Fish Swarm Algorithm
Author
Ramesh Chandra Prusty
Publisher
LAP LAMBERT Academic Publishing Sep 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659943746
ISBN 13
9783659943744
Item weight
119 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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