Assessment of chaotic chimp sine cosine hybrid algorithm for AGC study of complex power system

This paper deals with the application of the designed algorithm in automatic generation control (AGC) problem of different structures, such as interconnected and isolated. The important contribution made by this paper is the application of the validated algorithm in the conventional four-area interc...

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Bibliographic Details
Published in:2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) pp. 1 - 6
Main Authors: Vigya, Shiva, Chandan Kumar, Vedik, B., Sen, Sachidananda, Mukherjee, Vivekananda
Format: Conference Proceeding
Language:English
Published: IEEE 11.03.2023
Subjects:
Automatic generation control
Chimp algorithm
Hybrid power systems
Hydrogen
PD control
power systems
Real-time systems
Renewable energy sources
Simulation
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Summary:This paper deals with the application of the designed algorithm in automatic generation control (AGC) problem of different structures, such as interconnected and isolated. The important contribution made by this paper is the application of the validated algorithm in the conventional four-area interconnected model and isolated power system model with different operating conditions to study AGC performance. In the studied systems, a proportional-integral-derivative PID controller is employed, and its parameters are tuned by the chimp optimization algorithm (CHOA), chaotic chimp optimization algorithm (C-CHOA) and chaotic chimp sine cosine optimization (C-CHOA-SC) algorithm methods. Finally, the results are validated by real-time simulation results using d-SPACE.
DOI:10.1109/GlobConHT56829.2023.10087434