SMES Supported AGC Performance Evaluation of Multi Machine Multi Area Power Systems
1Department of Electrical and Electronics Engineering,, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, INDIA, India
2Department of Electrical and Electronics Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, INDIA, India
3Department of Electrical Engineering, National Institute of Technology, Raipur, INDIA, India
*Author to whom correspondence should be addressed:
E-mail: vijay.kumar.tayal.example@university.edu (VKT)
E-mail: vijay.kumar.tayal.example@university.edu (VKT)
Received: September 26, 2024 | Revised: March 10, 2025 | Accepted: April 30, 2025 | Published: June 2025
Abstract
In real time, due to sudden load change in a power system, Superconducting Magnetic Energy Storage (SMES) device, is very useful in arresting the frequency deviation to an acceptable limit by rapid energy exchange from the system before the supplementary controller takes over. This paper explores the performance evaluation of Automatic Generation Control (AGC) in a multi-machine multi-area complex power system by connecting SMES at suitable location in the system. By integrating SMES into AGC of a power system, the study aims to alleviate the frequency and tie line power deviations and thus enhance the system stability. Using simulations, the performance of SMES-AGC in managing frequency deviations and oscillations across different areas of the power system is analyzed and evaluated. The system performance has been assessed under three conditions: (i) power system with Integral controller without inclusion of SMES (ii) power system integrated with SMES-Integral controller (iii ) power system integrated with SMES-fuzzy-integral controller for two test cases i.e with 1% and 3% load perturbations. The results demonstrate that SMES can significantly enhance AGC effectiveness with fuzzy integral controller, providing far improved Peak Overshoot (Mp), Peak Undershoot (mp), Setting time (ts) and stability compared to other two conditions. This analysis offers valuable insights into optimizing power system performance with SMES integration.
Keywords
Superconducting Magnetic Energy Storage (SMES) ; Fuzzy Logic Controller (FLC) ; Peak Overshoot (Mp) ; Peak Undershoot (mp) ; Area Control Error (ACE) ; Tie-line power deviation ; Automatic Generation Control (AGC)
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