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Paper Information

Journal:   IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING   2004 , Volume 28 , Number B2; Page(s) 201 To 216.
 
Paper: 

SOLVING THE LONG-TERM HYDRO-THERMAL COORDINATION PROBLEM WITH A SPECIAL GENETIC ALGORITHM

 
 
Author(s):  MODARES MOHAMMAD*, GHASEMI F., FAROKH ZAD D.
 
* SHARIFUNIVERSITY OF TECHNOLOGY, TEHRAN, I. R. OFLRAN
 
Abstract: 
A special hybrid genetic algorithm (GA) is designed to solve the long-term coordination of hydro-thermal power systems with cascaded reservoirs and stochastic inflows. Since decision variables are continuous, in the proposed GA we employ real number rather than binary encoding. To create superior children we introducedynamic tuning of the weights of operators. An exponential normalization is also developed such that better cl1romosomeshave more chance to reproduce. To test the proposed method, ]6 GAs are investigated which differ based on real or binary encoding, dynamic tuning or fixed weights for operators, inverse or exponential normalization and mixed or pure random initial populations. By applying the data of a real power system, the performance of these algorithms are compared. We also compare the performance of the proposed GA with that of the conventional Lagrangian relaxation method. The results show that the proposed GA gives promising performance for situations, which if not impossible, are very difficult to handle using conventional optimization methods.
 
Keyword(s): HYDRO-THERMAL POWER SYSTEMS, CASCADED RESERVOIRS, GENETIC ALGORITHMS, DYNAMIC TUNING
 
References: 
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