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AGC of Multi Area Multi Source Restructured Electric Power System with Differential Evolution Algorithm based PID Controller

In an interconnected multi-area deregulated power system, the dynamics of AGC depends on the frequency oscillations and variations in tie line power flow according to the bilateral contracts scheduled between GENCOs and DISCOs. This paper presents an algorithm for solving optimal power flow problem...

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Bibliographic Details
Published in:International Journal on Electrical Engineering and Informatics 2023-06, Vol.15 (2), p.319-349
Main Authors: Ayyappan, B.Prakash, Kanimozhi, R., Prabakaran, R., Thanigaiselvan, R., Priya, B., Parthiban, T.
Format: Article
Language:English
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Summary:In an interconnected multi-area deregulated power system, the dynamics of AGC depends on the frequency oscillations and variations in tie line power flow according to the bilateral contracts scheduled between GENCOs and DISCOs. This paper presents an algorithm for solving optimal power flow problem through the application of Differential Evolution. The optimal electric power flow is obtained by using DE method and the performance of the controller is investigated on a three-area interconnected power system consisting of Thermal-Thermal-Thermal unit in one area, Hydro-Thermal unit in the second area, and Thermal-Hydro unit in the third area. Simulation results have shown that the bilateral contracts are implemented in the system. The new Differential Evolution Algorithm (DEA) method is used for designing the concept of Automatic Generation Control (AGC) of hydro-thermal system which is under open market scenario. Open transmission access develops gradually with more socialized companies for generation, transmission and distribution which generally affect the formulation of AGC problem. The simulation results by the use of MATLAB simulink show the effectiveness of DE-PID controller considered and executed appropriately, which improves the performance based on metrics such as frequency and Tie line power deviations.
ISSN:2085-6830
2087-5886
DOI:10.15676/ijeei.2023.15.2.10