Evaluation of Voltage Stability Margin in a Power System using an Artificial Neural Network

Abstract

In power system operation and planning, determining steady state voltage stability is critical. Voltage stability margin (VSM) is one of the most important parameters for ensuring the power system's reliability in real time. The system's maximum loading capacity is indicated by VSM i.e, a further rise in load causes the system voltage to collapse, which makes the system unstable. Thus, the assessment of the VSM in real time is essential and requires greater significance. Reinforcement learning methods have recently attracted a lot of attention for calculating the VSM. The Continuous Power Flow approach has been used in this paper to analyse the power system's voltage stability with Linear Artificial Neural Network. The analysis was carried out in the IEEE 14, IEEE 30, IEEE 118 and Indian utility 62 bus system, using the aid of MATLAB's PSAT software. In many instances, the outcome of the linear ANN model satisfies the desired model with the highest level of accuracy.