A Generic Load Flow Solution for Droop-Controlled AC Microgrids Considering Electric Vehicle Loads

Microgrids (MGs) have become more unpredictable due to integration of renewable generation sources. Several methods are used to solve load flow problems in MGs. Load flow analysis is a complex problem for islanded MGs due to the absence of slack bus and dependency of active power generation of droop-controlled DGs on frequency. In this paper, a Modified Newton Raphson (MNR) approach is used to perform load flow analysis of isolated MGs considering various types of electric vehicle (EV) loads. The presented method has been validated on 6-bus and 38-bus test systems of the islanded microgrid to give an accurate and simple approach for computing the load flow solutions.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961364
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.33
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article

A Generic Load Flow Solution for Droop-Controlled AC Microgrids Considering Electric Vehicle Loads

Ghanshyam Meena, Sukumar Kamalasadan, Krishna Murari, V. P. Singh et al.
1 citations
Microgrid Control and Optimization
0.33
article

A Generic Load Flow Solution for Droop-Controlled AC Microgrids Considering Electric Vehicle Loads

Ghanshyam Meena, Sukumar Kamalasadan, Krishna Murari, V. P. Singh, Akhilesh Mathur
article en
1 citations

Abstract

Microgrids (MGs) have become more unpredictable due to integration of renewable generation sources. Several methods are used to solve load flow problems in MGs. Load flow analysis is a complex problem for islanded MGs due to the absence of slack bus and dependency of active power generation of droop-controlled DGs on frequency. In this paper, a Modified Newton Raphson (MNR) approach is used to perform load flow analysis of isolated MGs considering various types of electric vehicle (EV) loads. The presented method has been validated on 6-bus and 38-bus test systems of the islanded microgrid to give an accurate and simple approach for computing the load flow solutions.

University of North Carolina at Charlotte (US), Malaviya National Institute of Technology Jaipur (IN), University of Toledo (US)
Affordable and clean energy
Openalex Percentile: Top 36%
Microgrid Control and Optimization
0.33
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