IET Power Electronics (Jan 2023)

A novel microgrid power quality assessment model based on multivariate Gaussian distribution and local sensitivity analysis

  • HongTao Shi,
  • Gang Su,
  • Juntao Pan,
  • Kun Feng,
  • Jian Zhou

DOI
https://doi.org/10.1049/pel2.12370
Journal volume & issue
Vol. 16, no. 1
pp. 145 – 156

Abstract

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Abstract The reasonable power quality assessment model of microgrid is significant to the planning and management for a microgrid. In the power quality assessment, how to extract and integrate the implicative information in different evaluation indicators, to realize the comprehensive power quality assessment, are needs to be further studied. To solve the above problems, a microgrid power quality assessment model based on multivariate Gaussian distribution and local sensitivity analysis is proposed in this paper. Firstly, the probability density function is used to integrate the individual assessment indicators, and the correlation between the assessment indicators is reflected by the covariance matrix, and then the above characteristics of evaluation indicators are quantized to be as the indicator weights by using the local sensitivity. Comparing with the traditional power quality assessment method, the proposed evaluation model is more suitable for microgrid. Finally, an example is developed to verify that the overall situation of microgrid power quality can be reasonably reflected by the proposed evaluation model.