Abstract
A microgrid is equipped with variants of distributed energy resources offering a challenging situation to power engineers to maintain the power quality during its operation. So, monitoring and maintaining power quality is a critical issue for healthy operation of microgrid system upto consumer satisfaction. The main objective of this paper is to propose a decision-making methodology to assess the power quality of a single-phase AC microgrid using MATLAB–Simulink software. The power quality-related electrical parameters are considered as voltage, frequency, power factor and total harmonic distortion. To quantify the fuzziness in random variation of power quality, a power quality monitoring index (PQMI) is proposed using 256 rule-based fuzzy inference systems for a single-phase microgrid model. The generalized approach for determining PQMI for other microgrid topologies has been explored. The results show the effectiveness of the proposed methodology to assess the status of PQMI, depending upon the acceptable limits of above considered electrical parameters, operating in grid-connected or islanded mode.
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