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Communication Dans Un Congrès Année : 2020

COMPRATIVE STUDY OF TWO CLASSICAL OPTIMIZATION ALGORITHMS SOLVING ECONOMIC DISPATCH PROBLEM

Résumé

Solving the Economic Dispatch (ED) problem is an essential task in electrical power management systems. The aim of the ED is to minimize the fuel consumption costs of thermal power plants which could be carried out by finding the optimal generation power for each committed generating unit while providing the load demand and satisfying the operational constraints. This paper presents a comparative study of two classical optimization techniques for solving the conventional ED problem which are Gradient Search and Levenberg-Marquardt Optimization (LMO). The proposed techniques are used to reach the mentioned objective with consideration to real power line transmission loss. They are adapted to IEEE 9-bus 3-unit test system and simulated via MATLAB environment. The results reveal that LMO generates superior and efficient solutions.
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Dates et versions

hal-03192735 , version 1 (08-04-2021)

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  • HAL Id : hal-03192735 , version 1

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T Dridi, H Jouini, E Dafaoui, A El Mhamedi, A. Mami. COMPRATIVE STUDY OF TWO CLASSICAL OPTIMIZATION ALGORITHMS SOLVING ECONOMIC DISPATCH PROBLEM. 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, Maroc, Nov 2020, AGADIR (virtual), Morocco. ⟨hal-03192735⟩
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