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An Intelligent Power Management and Power Quality Enhancement for Grid Integrated Renewable Sources and EV Fed UPQC

International Journal of Electrical and Electronics Engineering
© 2023 by SSRG - IJEEE Journal
Volume 10 Issue 10
Year of Publication : 2023
Authors : Alvala Mahesh Kumar, Sukhdeo Sao, E. Vidya Sagar
10.14445/23488379/IJEEE-V10I10P117
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How to Cite?

Alvala Mahesh Kumar, Sukhdeo Sao, E. Vidya Sagar, "An Intelligent Power Management and Power Quality Enhancement for Grid Integrated Renewable Sources and EV Fed UPQC," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 10, pp. 176-196, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I10P117

Abstract:

In recent years, integrating Renewable Energy Sources (RES) and Electric Vehicles (EVs) has significantly impacted distribution systems. The primary objective of this study is to address effectively the Power Quality (PQ) issues like sag, swell, and THD of a grid-connected system that combines Solar Photovoltaic (SPV) and Wind Energy Systems (WES), incorporating a Battery Energy Storage System (BESS) as well as Electric Vehicles (EVs) by using multi-functional Unified Power Quality Conditioner (UPQC) i.e (U-SWBEV) in addition to the power flow management between the RES, BESS, EV and grid. An Electric Vehicle Accumulator (EVAC) has been developed to address this. The suggested EVA is intended to integrate SPV, WES, BESS, and EVs. This integration aims to achieve several advantages, including an uninterrupted supply of power, meeting the electricity demand effectively and effective use of generated power. The regulation of power transfer from the generation to a consumer load, EVs, as well as between many sources and vice versa, is facilitated by using Artificial Neuro-Fuzzy Interface System (ANFIS) regulation, takes together the abilities of Fuzzy Logic (FL) and Artificial Neural Network (ANN). In addition, ANFIS is adopted to extract Maximum Power Point Tracking (MPPT) from the SPV system. During load change, there is a reduction in PQ at the load side. The most significant finding from the analysis and results is that the power output of the ANFIS-based MPPT is superior to the fuzzy logic-based MPPT. Thus, ANFIS and UPQC assist in achieving the efficient and proper use of power by effectively addressing PQ issues.

Keywords:

Power Quality, ANFIS, Electric Vehicle Accumulator, ANN, Power management.

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