Improvement of power quality parameters using modulated-unified power quality conditioner and switched-inductor boost converter by the optimization techniques for a hybrid AC/DC microgrid

Nima Khosravi; Abdollah Abdolvand; Adel Oubelaid; Yawer Abbas Khan; Mohit Bajaj; Scott Govender

doi:10.1038/s41598-022-26001-8

Improvement of power quality parameters using modulated-unified power quality conditioner and switched-inductor boost converter by the optimization techniques for a hybrid AC/DC microgrid

Sci Rep. 2022 Dec 15;12(1):21675. doi: 10.1038/s41598-022-26001-8.

Authors

Nima Khosravi^{1

2}, Abdollah Abdolvand³, Adel Oubelaid⁴, Yawer Abbas Khan⁵, Mohit Bajaj⁶, Scott Govender⁷

Affiliations

¹ Department of Electrical and Instrumentation Engineering, R&D Management of NPC, Tehran, Iran. [email protected].
² Department of Power Systems Operation and Planning, Power Electrical Industry Consultants Co, Limbe, Malawi. [email protected].
³ Department of Engineering, Islamic Azad University, Aligoudarz Branch, Aligoudarz, Iran.
⁴ Laboratoire de Technologie Industrielle et de l'Information, Faculté de Technologie, Université de Bejaia, 06000, Bejaia, Algeria.
⁵ Department of Electrical and Electronics Engineering, BIET, Hyderabad, India.
⁶ Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India.
⁷ Department of Power Systems Operation and Planning, Power Electrical Industry Consultants Co, Limbe, Malawi.

Abstract

This study aims to improve the quality of operation parameters of the stand-alone hybrid microgrids (HMGs). The proposed module for the AC microgrid (ACMG) is a modulated-unified power quality conditioner (M-UPQC). Furthermore, the suggested component for the DC microgrid (DCMG) is a switched-inductor boost converter module (S-IBCM). The M-UPQC control method is based on inverter modules and the system resonant features. The aim of S-IBCM applied is to improve DC microgrid (DCMG) efficiency. In this paper, the research challenge consists of two sections: first, adjusting the control parameters of M-UPQC by the black hole optimization (BHO), Harris hawk optimization (HHO), and grasshopper optimization algorithm (GOA) techniques, respectively; second, presenting a new design of the BC module called S-IBCM to increase DCMG efficiency. The programmed multi-objective functions (MOFs) for M-UPQC contain the harmonic parameters. Finally, according to output results, the performance conditions for ACMG and DCMG divisions achieve significantly improved by the proposed modules adopted. Furthermore, the performance of the M-UPQC operating under static and dynamic disturbances is tested through an experimental setup.