Optimal allocation of multiple capacitors in a hybrid AC/DC microgrid for power quality improvement

Hossam H. H. Mousa, Abdelfatah Ali, Mostafa F. Shaaban, Mohamed A. Ismeil

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

Along with the various features for implementing the Hybrid AC/DC Microgrid (HMG), this article proposes an approach
for optimal allocation of multiple capacitors which are investigated in a proposed modeling based on the IEEE 14-bus
distribution system. The power quality of the HMG has been investigated during the urgent intermittent of Distrib-
uted Energy Resources (DERs) and Reactive Power Compensation (RPC) methods. Moreover, the investigation has been
achieved in the presence of unbalanced loads and nonlinear loads with maximum and minimum demand scenarios. To
cope with the power quality concerns in the studied cases, the fixed capacitor bank as an RPC system in Medium Voltage
(MV) level load buses has been utilized. Although the performance indices of the power quality improved in MV-level
buses, the Low Voltage (LV) level load buses still endure extensive operation performance deteriorations caused by
unbalanced loads. Therefore, in this article, a compensation scheme applied in LV-level load buses and MV-level buses
has been proposed consistent with the power flow computations. The Multi-Objective Grey Wolf Optimizer (MOGWO)
algorithm is implemented to optimize both the size and location of capacitor banks over different voltage levels with
high accuracy. The comprehensive assessment and discussion of the simulation results demonstrate the superiority of
utilizing the proposed compensation scheme in both MV-level and LV-level load buses. Hence, the power quality is not
only enhanced but also the installation cost is reduced. The complete model of the studied system has been validated
using MATLAB/ Simulink.
Original languageEnglish
Article number362
Number of pages22
JournalSN Applied Sciences
Volume5
Issue number12
DOIs
Publication statusPublished - Dec 2023
MoE publication typeA1 Journal article-refereed

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