Enhancing AGC Efficiency and Settling Time in Multi-Area Power Systems with Grasshopper-Based PID Optimization under Open Market Dynamics
Emad Ali Daood1, Manish Kumar Srivastava2
1Emad Ali Daood, Al Kunooze University College, Basrah, Iraq.
2Dr. Manish Kumar Srivastava, H.O.D, Department of Electrical Engineering, SSET, SHUATS, Allahabad (U.P.), India.
Manuscript received on 03 January 2024 | Revised Manuscript received on 07 June 2024 | Manuscript Accepted on 15 June 2024 | Manuscript published on 30 June 2024 | PP: 7-13 | Volume-13 Issue-7, June 2024 | Retrieval Number: 100.1/ijitee.F799612060324 | DOI: 10.35940/ijitee.F7996.13070624
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: About Four Key Words or Phrases in Alphabetical Order, Separated by Commas.
Scope of the Article: Electrical and Electronics