Support Vector Regression Framework for Reactive Power Prediction based on Real Power Demand

Reactive power demand prediction is crucial for maintaining the stability, efficiency, and reliability of electrical power systems. While active power is responsible for performing useful work, reactive power is necessary for establishing and maintaining electromagnetic fields in inductive and capacitive devices. Accurate prediction of reactive power demand serves multiple purposes. One significant aspect is maintaining system stability. Fluctuations in reactive power demand can result in voltage variations, which can disrupt the operation of electrical equipment and lead to system instability. By predicting reactive power demand accurately, power system operators can proactively adjust voltage levels to ensure they remain within acceptable limits, thus improving the overall stability of the system. In this paper an attempt has been made to predict reactive power demand based on real power demand and load. A Matlab based model analysis of 55 house hold load has been taken into consideration for analysis.