Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems
The integration of renewable resources in isolated systems can produce instability in the electrical grid due to its intermintency. In today’s microgrids, which lack synchronous generation, physical inertia is substituted for inertia emulation. To date, the most effective approach remains the freque...
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MDPI AG
2024-01-01
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Online Access: | https://www.mdpi.com/2313-0105/10/1/18 |
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author | Adrián Criollo Luis I. Minchala-Avila Dario Benavides Paul Arévalo Marcos Tostado-Véliz Daniel Sánchez-Lozano Francisco Jurado |
author_facet | Adrián Criollo Luis I. Minchala-Avila Dario Benavides Paul Arévalo Marcos Tostado-Véliz Daniel Sánchez-Lozano Francisco Jurado |
author_sort | Adrián Criollo |
collection | DOAJ |
description | The integration of renewable resources in isolated systems can produce instability in the electrical grid due to its intermintency. In today’s microgrids, which lack synchronous generation, physical inertia is substituted for inertia emulation. To date, the most effective approach remains the frequency derivative control technique. Nevertheless, within this method, the ability to provide virtual drooping is often disregarded in its design, potentially leading to inadequate development in systems featuring high renewable penetration and low damping. To address this issue, this paper introduces an innovative design and analysis of virtual inertia control to simultaneously mimic droop and inertia characteristics in microgrids. The dynamic frequency response without and with renewable energy sources penetration is comparatively analyzed by simulation. The proposed virtual inertia control employs a derivative technique to measure the rate of change of frequency slope during inertia emulation. Sensitivity mapping is conducted to scrutinize its impact on dynamic frequency response. Finally, the physical battery storage system of the University of Cuenca microgrid is used as a case study under operating conditions. |
first_indexed | 2024-03-08T11:05:39Z |
format | Article |
id | doaj.art-ba4b82f2c3e34c2b948fce462efa3eef |
institution | Directory Open Access Journal |
issn | 2313-0105 |
language | English |
last_indexed | 2024-03-08T11:05:39Z |
publishDate | 2024-01-01 |
publisher | MDPI AG |
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series | Batteries |
spelling | doaj.art-ba4b82f2c3e34c2b948fce462efa3eef2024-01-26T15:04:47ZengMDPI AGBatteries2313-01052024-01-011011810.3390/batteries10010018Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage SystemsAdrián Criollo0Luis I. Minchala-Avila1Dario Benavides2Paul Arévalo3Marcos Tostado-Véliz4Daniel Sánchez-Lozano5Francisco Jurado6Department of Electrical Engineering, Electronics, and Telecommunications (DEET), Universidad de Cuenca, Cuenca 010101, EcuadorDepartment of Electrical Engineering, Electronics, and Telecommunications (DEET), Universidad de Cuenca, Cuenca 010101, EcuadorDepartment of Electrical Maintenance and Industrial Control, Instituto Superior Tecnológico del Azuay, Cuenca 010105, EcuadorDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainDepartment of Electrical Engineering, University of Jaén, 23700 Linares, SpainThe integration of renewable resources in isolated systems can produce instability in the electrical grid due to its intermintency. In today’s microgrids, which lack synchronous generation, physical inertia is substituted for inertia emulation. To date, the most effective approach remains the frequency derivative control technique. Nevertheless, within this method, the ability to provide virtual drooping is often disregarded in its design, potentially leading to inadequate development in systems featuring high renewable penetration and low damping. To address this issue, this paper introduces an innovative design and analysis of virtual inertia control to simultaneously mimic droop and inertia characteristics in microgrids. The dynamic frequency response without and with renewable energy sources penetration is comparatively analyzed by simulation. The proposed virtual inertia control employs a derivative technique to measure the rate of change of frequency slope during inertia emulation. Sensitivity mapping is conducted to scrutinize its impact on dynamic frequency response. Finally, the physical battery storage system of the University of Cuenca microgrid is used as a case study under operating conditions.https://www.mdpi.com/2313-0105/10/1/18small-signalvirtual droppingfrequency responseload frequency controlsecondary frequency controlvirtual inertia control |
spellingShingle | Adrián Criollo Luis I. Minchala-Avila Dario Benavides Paul Arévalo Marcos Tostado-Véliz Daniel Sánchez-Lozano Francisco Jurado Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems Batteries small-signal virtual dropping frequency response load frequency control secondary frequency control virtual inertia control |
title | Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems |
title_full | Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems |
title_fullStr | Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems |
title_full_unstemmed | Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems |
title_short | Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems |
title_sort | enhancing virtual inertia control in microgrids a novel frequency response model based on storage systems |
topic | small-signal virtual dropping frequency response load frequency control secondary frequency control virtual inertia control |
url | https://www.mdpi.com/2313-0105/10/1/18 |
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