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Optimization of Two Area Restructured Power System Using Ant Colony Algorithm


Affiliations
1 AE (Electrical), WBSEDCL, West Bengal, India
2 Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, India
 

In this paper, ant colony optimization algorithm (ACO) has been applied to design the controller parameters in the automatic generation control (AGC) problem in a two area restructured power system. In the considered power system, the conventional two-area system has been modified to include the effect of bilateral contracts in the system dynamics and each area contains two generation company (GENCO) and two distribution company (DISCO). After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The dynamic responses of the system have been analyzed for different operating conditions considering area control error (ACE) controllers for which the values of the controller parameters have been optimized using ant colony optimization algorithm.

Keywords

Automatic Generation Control (AGC), Ant Colony Optimization Algorithm (ACO), Area Control Error (ACE).
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  • Optimization of Two Area Restructured Power System Using Ant Colony Algorithm

Abstract Views: 306  |  PDF Views: 105

Authors

S. Ganguly
AE (Electrical), WBSEDCL, West Bengal, India
P. Bera
Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani-741235, India

Abstract


In this paper, ant colony optimization algorithm (ACO) has been applied to design the controller parameters in the automatic generation control (AGC) problem in a two area restructured power system. In the considered power system, the conventional two-area system has been modified to include the effect of bilateral contracts in the system dynamics and each area contains two generation company (GENCO) and two distribution company (DISCO). After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The dynamic responses of the system have been analyzed for different operating conditions considering area control error (ACE) controllers for which the values of the controller parameters have been optimized using ant colony optimization algorithm.

Keywords


Automatic Generation Control (AGC), Ant Colony Optimization Algorithm (ACO), Area Control Error (ACE).



DOI: https://doi.org/10.21843/reas%2F2013%2F127-134%2F108147