Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System
This paper presents Nyström minimum kernel risk-sensitive loss (NysMKRSL) based control of a three-phase four-wire grid-tied dual-stage PV-hybrid energy storage system, under varying conditions such as irradiation variation, unbalanced load, and abnormal grid voltage. The Voltage Source Converter (V...
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MDPI AG
2021-03-01
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Online Access: | https://www.mdpi.com/1996-1073/14/5/1365 |
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author | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Irfan Khan S.M. Muyeen |
author_facet | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Irfan Khan S.M. Muyeen |
author_sort | Mukul Chankaya |
collection | DOAJ |
description | This paper presents Nyström minimum kernel risk-sensitive loss (NysMKRSL) based control of a three-phase four-wire grid-tied dual-stage PV-hybrid energy storage system, under varying conditions such as irradiation variation, unbalanced load, and abnormal grid voltage. The Voltage Source Converter (VSC) control enables the system to perform multifunctional operations such as reactive power compensation, load balancing, power balancing, and harmonics elimination while maintaining Unity Power Factor (UPF). The proposed VSC control delivers more accurate weights with fewer oscillations, hence reducing overall losses and providing better stability to the system. The seamless control with the Hybrid Energy Storage System (HESS) facilitates the system’s grid-tied and isolated operation. The HESS includes the battery, fuel cell, and ultra-capacitor to accomplish the peak shaving, managing the disturbances of sudden and prolonged nature occurring due to load unbalancing and abnormal grid voltage. The DC link voltage is regulated by tuning the PI controller gains utilizing the Salp Swarm Optimization (SSO) algorithm to stabilize the system with minimum deviation from the reference voltage, during various simulated dynamic conditions. The optimized DC bus control generates the accurate loss component of current, which further enhances the performance of the proposed VSC control. The presented system was simulated in the MATLAB 2016a environment and performed satisfactorily as per IEEE 519 standards. |
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format | Article |
id | doaj.art-7363df280dec46d0b538ecf13458c826 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T05:54:19Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-7363df280dec46d0b538ecf13458c8262023-12-03T12:14:34ZengMDPI AGEnergies1996-10732021-03-01145136510.3390/en14051365Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage SystemMukul Chankaya0Ikhlaq Hussain1Aijaz Ahmad2Irfan Khan3S.M. Muyeen4Department of Electrical Engineering, NIT Srinagar, Srinagar 190006, IndiaDepartment of Electrical Engineering, University of Kashmir, Srinagar 190006, IndiaDepartment of Electrical Engineering, NIT Srinagar, Srinagar 190006, IndiaMarine Engineering Technology in a Joint Appointment with Electrical and Computer Engineering, Texas A&M University, Galveston, TX 7553, USASchool of Electrical Engineering Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, AustraliaThis paper presents Nyström minimum kernel risk-sensitive loss (NysMKRSL) based control of a three-phase four-wire grid-tied dual-stage PV-hybrid energy storage system, under varying conditions such as irradiation variation, unbalanced load, and abnormal grid voltage. The Voltage Source Converter (VSC) control enables the system to perform multifunctional operations such as reactive power compensation, load balancing, power balancing, and harmonics elimination while maintaining Unity Power Factor (UPF). The proposed VSC control delivers more accurate weights with fewer oscillations, hence reducing overall losses and providing better stability to the system. The seamless control with the Hybrid Energy Storage System (HESS) facilitates the system’s grid-tied and isolated operation. The HESS includes the battery, fuel cell, and ultra-capacitor to accomplish the peak shaving, managing the disturbances of sudden and prolonged nature occurring due to load unbalancing and abnormal grid voltage. The DC link voltage is regulated by tuning the PI controller gains utilizing the Salp Swarm Optimization (SSO) algorithm to stabilize the system with minimum deviation from the reference voltage, during various simulated dynamic conditions. The optimized DC bus control generates the accurate loss component of current, which further enhances the performance of the proposed VSC control. The presented system was simulated in the MATLAB 2016a environment and performed satisfactorily as per IEEE 519 standards.https://www.mdpi.com/1996-1073/14/5/1365PVadaptive controloptimizationislanding and re-synchronizationseamless controllead-acid battery |
spellingShingle | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Irfan Khan S.M. Muyeen Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System Energies PV adaptive control optimization islanding and re-synchronization seamless control lead-acid battery |
title | Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System |
title_full | Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System |
title_fullStr | Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System |
title_full_unstemmed | Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System |
title_short | Nyström Minimum Kernel Risk-Sensitive Loss Based Seamless Control of Grid-Tied PV-Hybrid Energy Storage System |
title_sort | nystrom minimum kernel risk sensitive loss based seamless control of grid tied pv hybrid energy storage system |
topic | PV adaptive control optimization islanding and re-synchronization seamless control lead-acid battery |
url | https://www.mdpi.com/1996-1073/14/5/1365 |
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