Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification

Direct current (dc) microgrids have gained significant interest in research due to dc generation/storage technologies—such as photovoltaics (PV) and batteries—increasing performance and reducing in cost. However, proper protection and control systems are critical in order to make dc microgrids feasi...

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Main Authors: Ali Abdali, Kazem Mazlumi, Josep M. Guerrero
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/24/8847
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spelling doaj-0d03675b747040399d97447dc1d45d852020-12-11T00:04:04ZengMDPI AGApplied Sciences2076-34172020-12-01108847884710.3390/app10248847Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental VerificationAli Abdali0Kazem Mazlumi1Josep M. Guerrero2Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan 45371-38791, IranDepartment of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan 45371-38791, IranCROM Center for Research on Microgrids, Department of Energy Technology, Aalborg University, 9220 Aalborg, DenmarkDirect current (dc) microgrids have gained significant interest in research due to dc generation/storage technologies—such as photovoltaics (PV) and batteries—increasing performance and reducing in cost. However, proper protection and control systems are critical in order to make dc microgrids feasible. This paper aims to propose a novel integrated control and protection scheme by using the state-dependent Riccati equation (SDRE) method for PV-battery based islanded dc microgrids. The dc microgrid under study consists of photovoltaic (PV) generation, a battery energy storage system (BESS), a capacitor bank and a dc load. The aims of this study are fast fault detection and voltage control of the dc load bus. To do so, the SDRE observer-controller—a nonlinear mathematical model—is employed to model the operation of the dc microgrid. Simulation results show that the proposed SDRE method is effective for fault detection and robust against external disturbances, resulting in it being capable of controlling the dc load bus voltage during disturbances. Finally, the dc microgrid and its proposed protection scheme are implemented in an experimental testbed prototype to verify the fault detection algorithm feasibility. The experimental results indicate that the SDRE scheme can effectively detect faults in a few milliseconds.https://www.mdpi.com/2076-3417/10/24/8847integrated control and protection architecturefault detectionstate-dependent Riccati equation (SDRE)dc microgridsPV systembattery energy storage system (BESS)
collection DOAJ
language English
format Article
sources DOAJ
author Ali Abdali
Kazem Mazlumi
Josep M. Guerrero
spellingShingle Ali Abdali
Kazem Mazlumi
Josep M. Guerrero
Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
Applied Sciences
integrated control and protection architecture
fault detection
state-dependent Riccati equation (SDRE)
dc microgrids
PV system
battery energy storage system (BESS)
author_facet Ali Abdali
Kazem Mazlumi
Josep M. Guerrero
author_sort Ali Abdali
title Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
title_short Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
title_full Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
title_fullStr Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
title_full_unstemmed Integrated Control and Protection Architecture for Islanded PV-Battery DC Microgrids: Design, Analysis and Experimental Verification
title_sort integrated control and protection architecture for islanded pv-battery dc microgrids: design, analysis and experimental verification
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-12-01
description Direct current (dc) microgrids have gained significant interest in research due to dc generation/storage technologies—such as photovoltaics (PV) and batteries—increasing performance and reducing in cost. However, proper protection and control systems are critical in order to make dc microgrids feasible. This paper aims to propose a novel integrated control and protection scheme by using the state-dependent Riccati equation (SDRE) method for PV-battery based islanded dc microgrids. The dc microgrid under study consists of photovoltaic (PV) generation, a battery energy storage system (BESS), a capacitor bank and a dc load. The aims of this study are fast fault detection and voltage control of the dc load bus. To do so, the SDRE observer-controller—a nonlinear mathematical model—is employed to model the operation of the dc microgrid. Simulation results show that the proposed SDRE method is effective for fault detection and robust against external disturbances, resulting in it being capable of controlling the dc load bus voltage during disturbances. Finally, the dc microgrid and its proposed protection scheme are implemented in an experimental testbed prototype to verify the fault detection algorithm feasibility. The experimental results indicate that the SDRE scheme can effectively detect faults in a few milliseconds.
topic integrated control and protection architecture
fault detection
state-dependent Riccati equation (SDRE)
dc microgrids
PV system
battery energy storage system (BESS)
url https://www.mdpi.com/2076-3417/10/24/8847
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AT kazemmazlumi integratedcontrolandprotectionarchitectureforislandedpvbatterydcmicrogridsdesignanalysisandexperimentalverification
AT josepmguerrero integratedcontrolandprotectionarchitectureforislandedpvbatterydcmicrogridsdesignanalysisandexperimentalverification
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