Enhancing AGC Efficiency and Settling Time in Multi-Area Power Systems with Grasshopper-Based PID Optimization under Open Market Dynamics

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Emad Ali Daood
Dr. Manish Kumar Srivastava

Abstract

This paper delves into the optimization of Automatic Generation Control (AGC) using a Grasshopper-based PID approach in multi-area power systems. It investigates the performance of this method in scenarios both with and without High-Voltage Direct Current (HVDC) links, operating under an Open Market System. Through simulations, the study evaluates the effectiveness of the Grasshopper-based PID controller in maintaining system stability and enhancing power generation within a competitive energy market. The findings provide insights into the adaptability of this technique across different network configurations, shedding light on its potential to enhance AGC efficiency and grid robustness in a dynamic energy landscape. This research contributes to advancing AGC strategies in complex energy markets, offering DISCO's and TRANSCO's a robust solution for optimized power generation, improved stability, and reduced frequency deviations in multi-area systems.

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[1]
Emad Ali Daood and Dr. Manish Kumar Srivastava , Trans., “Enhancing AGC Efficiency and Settling Time in Multi-Area Power Systems with Grasshopper-Based PID Optimization under Open Market Dynamics”, IJITEE, vol. 13, no. 7, pp. 7–13, Jun. 2024, doi: 10.35940/ijitee.F7996.13070624.
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How to Cite

[1]
Emad Ali Daood and Dr. Manish Kumar Srivastava , Trans., “Enhancing AGC Efficiency and Settling Time in Multi-Area Power Systems with Grasshopper-Based PID Optimization under Open Market Dynamics”, IJITEE, vol. 13, no. 7, pp. 7–13, Jun. 2024, doi: 10.35940/ijitee.F7996.13070624.
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