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The Scientific World Journal
Volume 2014 (2014), Article ID 825216, 9 pages
Research Article

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

Kun Ren1,2 and Qu Jihong2

1Institute of Water Resources and Hydro-electric Engineering, Xi’an University of Technology, Xi’an 710048, China
2North China University of Water Resources and Electric Power, Zhengzhou 450011, China

Received 27 March 2014; Accepted 19 April 2014; Published 7 May 2014

Academic Editor: Hanfei Tuo

Copyright © 2014 Kun Ren and Qu Jihong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.