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Improving power quality and load profile using PV-Battery-SAPF system with metaheuristic tuning and its HIL validation

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dc.contributor.author Bansal, Hari Om
dc.date.accessioned 2023-02-13T08:49:46Z
dc.date.available 2023-02-13T08:49:46Z
dc.date.issued 2020-02
dc.identifier.uri https://onlinelibrary.wiley.com/doi/full/10.1002/2050-7038.12335
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9198
dc.description.abstract Nonlinear load results in inferior power quality and a non-uniform power demand curve. This gets aggravated due to the charging of electric vehicles. This paper presents a new control approach of integrating a photovoltaic (PV) cell with battery storage to a shunt active power filter (SAPF) for electric vehicle (EV) applications. The multifunctional PV-Battery-integrated SAPF (PV-Battery-SAPF) performs harmonic mitigation along with clean power generation, energy storage, uniform load demand curve, and battery swapping. It is achieved through a two-stage topology. In the first stage, maximum power point (MPP) of a PV array is robustly tracked using metaheuristic algorithms like cuckoo search algorithm and particle swarm optimization. In the second stage, an ant colony optimization-tuned controller is developed which adaptively controls the SAPF to improve the power quality. The suggested method provides efficient MPP tracking, lesser total harmonic distortion, better dynamic system performance, and appropriate charging/discharging of battery leading to increased system reliability. The proposed system is validated in real time on a hardware-in-the-loop (HIL) testing platform. en_US
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.subject EEE en_US
dc.subject PV-Battery-SAPF system en_US
dc.subject HIL validation en_US
dc.subject Electric vehicles (EVs). en_US
dc.title Improving power quality and load profile using PV-Battery-SAPF system with metaheuristic tuning and its HIL validation en_US
dc.type Article en_US


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