
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.
Published in Evergreen, Volume 12, Issue 02. Citation formats available via DOI link.
Superconducting Magnetic Energy Storage (SMES), Tie-line power deviation, Peak Overshoot (Mp), Peak Undershoot (mp), Automatic Generation Control (AGC), Fuzzy Logic Controller (FLC), Area Control Error (ACE)
Superconducting Magnetic Energy Storage (SMES), Tie-line power deviation, Peak Overshoot (Mp), Peak Undershoot (mp), Automatic Generation Control (AGC), Fuzzy Logic Controller (FLC), Area Control Error (ACE)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
