A Multiobjective Interval Programming Model for Wind-Hydrothermal Power System Dispatching Using 2-Step Optimization Algorithm

Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear n...

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Vydané v:TheScientificWorld Ročník 2014; číslo 2014; s. 1 - 9
Hlavní autori: Ren, Kun, Qu, Jihong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Wiley
Predmet:
Algorithms
Buildings and facilities
Energy-Generating Resources
Fuel cells
Heuristic
Hydroelectric power plants
Linear programming
Mathematical optimization
Methods
Models, Theoretical
Power plants
Probability distribution
Production scheduling
Random variables
Runoff
Studies
Wind
Wind power
ISSN:2356-6140, 1537-744X, 1537-744X
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Shrnutí:Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Academic Editor: Hanfei Tuo
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/825216