Power Quality and Stability Analysis of a Renewable Micro Grid Using Small-Signal Stability Analysis with PQ Based Artificial Neural Network Control Scheme

Abstract

Micro grids (MGs), comprising diverse micro sources like solar PV, wind generating system, Battery energy storage  system  power electronics, and constant power loads (CPLs), faces stability challenges. Stability analysis is vital during both design and operation. This paper explores a modelling method for CPLs in AC systems. A small-signal state-space model (SSM) of a micro grid is developed, including sub-models for the power controller and network/loads. The model is simulated to investigate PID, artificial neural network (ANN) and P-Q ANN controllers. The study examines the impact of factors such as P-Q gains, CPLs, and line impedance on micro grid stability. A model of an islanded micro grid in MATLAB/SIMULINK is developed and simulated for different time spans. Different case studies like power quality issues, constant power load and irradiance variations are investigated. Finally the Eigen value analysis is done in this work.