3aa23dbf1902ae21f9d-7b2b 20240620064456596 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2024 13 7 Al Kunooze University College, Basrah, Iraq. Emad Ali Daood https://orcid.org/0009-0004-1896-6740 Dr. Manish Kumar Srivastava H.O.D, Department of Electrical Engineering, SSET, SHUATS, Allahabad (U.P.), India. 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. 06 30 2024 7 13 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijitee.F7996.13070624 https://www.ijitee.org/portfolio-item/F799612060324/