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Review

Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis

by
Ghanshyam Meena
1,
Veerpratap Meena
2,*,
Akhilesh Mathur
1,
Vinay Pratap Singh
1,
Ahmad Taher Azar
3,4,5,* and
Ibrahim A. Hameed
6,*
1
Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur 302017, Rajasthan, India
2
Department of Electrical Engineering, National Institute of Technology Jamshedpur, Jamshedpur 831014, Jharkhand, India
3
College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
4
Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh 11586, Saudi Arabia
5
Faculty of Computers and Artificial Intelligence, Benha University, Benha 13518, Egypt
6
Department of ICT and Natural Sciences, Norwegian University of Science and Technology, 7034 Trondheim, Norway
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2024, 29(6), 108; https://doi.org/10.3390/mca29060108
Submission received: 2 October 2024 / Revised: 17 November 2024 / Accepted: 22 November 2024 / Published: 24 November 2024
(This article belongs to the Special Issue Applied Optimization in Automatic Control and Systems Engineering)

Abstract

A microgrid (MG) is a unique area of a power distribution network that combines distributed generators (conventional as well as renewable power sources) and energy storage systems. Due to the integration of renewable generation sources, microgrids have become more unpredictable. MGs can operate in two different modes, namely, grid-connected and islanded modes. MGs face various challenges of voltage variations, frequency deviations, harmonics, unbalances, etc., due to the uncertain behavior of renewable sources. To study the impact of these issues, it is necessary to analyze the behavior of the MG system under normal and abnormal operating conditions. Two different tools are used for the analysis of microgrids under normal and abnormal conditions, namely, power flow and short-circuit analysis, respectively. Power flow analysis is used to determine the voltages, currents, and real and reactive power flow in the MG system under normal operating conditions. Short-circuit analysis is carried out to analyze the behavior of MGs under faulty conditions. In this paper, a review of power flow and short-circuit analysis algorithms for MG systems under two different modes of operation, grid-connected and islanded, is presented. This paper also presents a comparison of various power flow as well as short-circuit analysis techniques for MGs in tabular form. The modeling of different components of MGs is also discussed in this paper.
Keywords: distributed generation (DG); islanded microgrid; droop control; AC microgrids; DC microgrids; hybrid AC/DC microgrids distributed generation (DG); islanded microgrid; droop control; AC microgrids; DC microgrids; hybrid AC/DC microgrids

Share and Cite

MDPI and ACS Style

Meena, G.; Meena, V.; Mathur, A.; Singh, V.P.; Azar, A.T.; Hameed, I.A. Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis. Math. Comput. Appl. 2024, 29, 108. https://doi.org/10.3390/mca29060108

AMA Style

Meena G, Meena V, Mathur A, Singh VP, Azar AT, Hameed IA. Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis. Mathematical and Computational Applications. 2024; 29(6):108. https://doi.org/10.3390/mca29060108

Chicago/Turabian Style

Meena, Ghanshyam, Veerpratap Meena, Akhilesh Mathur, Vinay Pratap Singh, Ahmad Taher Azar, and Ibrahim A. Hameed. 2024. "Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis" Mathematical and Computational Applications 29, no. 6: 108. https://doi.org/10.3390/mca29060108

APA Style

Meena, G., Meena, V., Mathur, A., Singh, V. P., Azar, A. T., & Hameed, I. A. (2024). Optimizing Power Flow and Stability in Hybrid AC/DC Microgrids: AC, DC, and Combined Analysis. Mathematical and Computational Applications, 29(6), 108. https://doi.org/10.3390/mca29060108

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