A review on stability enhancement in SMIB system using artificial intelligence based techniques

This paper presents an extensive review on the application of artificial intelligence based techniques for stability assessment in a single machine infinite bus (SMIB) system. As the power system is highly complex and nonlinear therefore it is not possible to predict its behavior at every point of time. Modern power systems are operated close to their stability limits. Stability issues mainly related to low frequency oscillations (0.2–3) Hz. are important in every power system which may lead to consequent blackouts and outages in the power system. These problems are generally related to the compensation of reactive power in the power system. Therefore modern power systems are equipped with power electronically controlled devices called flexible AC transmission systems (FACTS). These FACTS devices operate efficiently if their parameters are optimally tuned. So this paper focuses on the survey of various artificial intelligence based techniques applied for the optimal tuning of various controller gains in a single machine infinite bus (SMIB) system.