Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
This article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/10/22/2770 |
| _version_ | 1797510619383988224 |
|---|---|
| author | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez |
| author_facet | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez |
| author_sort | Mukul Chankaya |
| collection | DOAJ |
| description | This article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth-order maximum correntropy criteria (AKWSOMCC) and maximum power point tracking (MPPT) control is accomplished using the variable step-size incremental conductance (VSS-InC) technique. The proposed VSC control offers lower mean square error and better accuracy, convergence rate and speed as compared to peer adaptive algorithms, i.e., least mean square (LMS), least mean fourth (LMF), maximum correntropy criteria (MCC), etc. The adaptive Gaussian kernel width is a function of the error signal, which changes to accommodate and filter Gaussian and non-Gaussian noise signals in each iteration. The VSS-InC based MPPT is provided with a MOGHO based modulation factor for better and faster tracking of the maximum power point during changing solar irradiation. Similarly, an optimized gain conventional PI controller regulates the DC bus to improve the power quality, and DC link stability during dynamic conditions. The optimized DC-link generates an accurate loss component of current, which further improves the VSC capability of fundamental load current component extraction. The VSC is designed to perform multi-functional operations, i.e., harmonics elimination, reactive power compensation, load balancing and power balancing at point of common coupling during diverse dynamic conditions. The MOSHO based VSS-InC, and DC bus performance is compared to particle swarm optimization (PSO) and genetic algorithm (GA). The proposed system operates satisfactorily as per IEEE519 standards in the MATLAB simulation environment. |
| first_indexed | 2024-03-10T05:33:43Z |
| format | Article |
| id | doaj.art-e03f2d638c23458ca418aec9420d3d85 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T05:33:43Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e03f2d638c23458ca418aec9420d3d852023-11-22T23:06:51ZengMDPI AGElectronics2079-92922021-11-011022277010.3390/electronics10222770Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery SystemMukul Chankaya0Ikhlaq Hussain1Aijaz Ahmad2Hasmat Malik3Fausto Pedro García Márquez4Department of Electrical Engineering, NIT Srinagar, Srinagar 190006, IndiaDepartment of Electrical Engineering, University of Kashmir, Srinagar 190006, IndiaDepartment of Electrical Engineering, NIT Srinagar, Srinagar 190006, IndiaBEARS, NUS Campus, University Town, Singapore 138602, SingaporeIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainThis article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth-order maximum correntropy criteria (AKWSOMCC) and maximum power point tracking (MPPT) control is accomplished using the variable step-size incremental conductance (VSS-InC) technique. The proposed VSC control offers lower mean square error and better accuracy, convergence rate and speed as compared to peer adaptive algorithms, i.e., least mean square (LMS), least mean fourth (LMF), maximum correntropy criteria (MCC), etc. The adaptive Gaussian kernel width is a function of the error signal, which changes to accommodate and filter Gaussian and non-Gaussian noise signals in each iteration. The VSS-InC based MPPT is provided with a MOGHO based modulation factor for better and faster tracking of the maximum power point during changing solar irradiation. Similarly, an optimized gain conventional PI controller regulates the DC bus to improve the power quality, and DC link stability during dynamic conditions. The optimized DC-link generates an accurate loss component of current, which further improves the VSC capability of fundamental load current component extraction. The VSC is designed to perform multi-functional operations, i.e., harmonics elimination, reactive power compensation, load balancing and power balancing at point of common coupling during diverse dynamic conditions. The MOSHO based VSS-InC, and DC bus performance is compared to particle swarm optimization (PSO) and genetic algorithm (GA). The proposed system operates satisfactorily as per IEEE519 standards in the MATLAB simulation environment.https://www.mdpi.com/2079-9292/10/22/2770adaptive controlbattery storageMPPTpower electronicspower qualityphotovoltaic |
| spellingShingle | Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System Electronics adaptive control battery storage MPPT power electronics power quality photovoltaic |
| title | Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System |
| title_full | Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System |
| title_fullStr | Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System |
| title_full_unstemmed | Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System |
| title_short | Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System |
| title_sort | multi objective grasshopper optimization based mppt and vsc control of grid tied pv battery system |
| topic | adaptive control battery storage MPPT power electronics power quality photovoltaic |
| url | https://www.mdpi.com/2079-9292/10/22/2770 |
| work_keys_str_mv | AT mukulchankaya multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT ikhlaqhussain multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT aijazahmad multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT hasmatmalik multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT faustopedrogarciamarquez multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem |