A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks
In this paper, a novel approach to assess the power demand of distribution networks during a restoration process following an outage is presented. The possibility of correctly estimating such power demand represents a very important support in the choice and management of reliable restoration paths...
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9864597/ |
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author | Roberto Benato Sebastian Dambone Sessa Giorgio M. Giannuzzi Cosimo Pisani Michele Poli Francesco Sanniti |
author_facet | Roberto Benato Sebastian Dambone Sessa Giorgio M. Giannuzzi Cosimo Pisani Michele Poli Francesco Sanniti |
author_sort | Roberto Benato |
collection | DOAJ |
description | In this paper, a novel approach to assess the power demand of distribution networks during a restoration process following an outage is presented. The possibility of correctly estimating such power demand represents a very important support in the choice and management of reliable restoration paths which significantly contributes to increase the resilience of the power system. In fact, due to the ever-growing penetration of renewable energy sources in the worldwide networks, electrical systems are often pushed to operate closer to their design limits and so, in particular conditions, black outs can be more frequent compared to the past. In this context, the aim of this work is to develop a general expression which can consider and represent all the key elements which affect the active and reactive power demand of distribution grids during the restoration process. The proposed method considers also the relationship between distributed generation and frequency behaviour in the power demand estimation. This aspect is generally neglected in literature although it has a significative impact. The effectiveness of the present approach is experimentally demonstrated on field. More specifically, the developed tool is applied to estimate the power demand of two real distribution networks and the tool results are compared with on-field recordings. This comparison demonstrates that the proposed approach represents a promising tool which, together with the restoration tests, could be an important ally in the design and management of the restoration plan of electrical networks. |
first_indexed | 2024-04-11T09:39:15Z |
format | Article |
id | doaj.art-dfe915aa3ad347d1a545a520db7d84d3 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-11T09:39:15Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-dfe915aa3ad347d1a545a520db7d84d32022-12-22T04:31:21ZengIEEEIEEE Access2169-35362022-01-0110898618987510.1109/ACCESS.2022.32011369864597A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution NetworksRoberto Benato0https://orcid.org/0000-0003-2235-7927Sebastian Dambone Sessa1https://orcid.org/0000-0002-1921-9892Giorgio M. Giannuzzi2https://orcid.org/0000-0003-0314-4483Cosimo Pisani3https://orcid.org/0000-0003-2964-9025Michele Poli4Francesco Sanniti5https://orcid.org/0000-0002-1562-2991Department of Industrial Engineering, University of Padova, Padua, ItalyDepartment of Industrial Engineering, University of Padova, Padua, ItalyDispatching and Switching Department, Terna, Rome, ItalyDispatching and Switching Department, Terna, Rome, ItalyDispatching and Switching Department, Terna, Rome, ItalyDepartment of Industrial Engineering, University of Padova, Padua, ItalyIn this paper, a novel approach to assess the power demand of distribution networks during a restoration process following an outage is presented. The possibility of correctly estimating such power demand represents a very important support in the choice and management of reliable restoration paths which significantly contributes to increase the resilience of the power system. In fact, due to the ever-growing penetration of renewable energy sources in the worldwide networks, electrical systems are often pushed to operate closer to their design limits and so, in particular conditions, black outs can be more frequent compared to the past. In this context, the aim of this work is to develop a general expression which can consider and represent all the key elements which affect the active and reactive power demand of distribution grids during the restoration process. The proposed method considers also the relationship between distributed generation and frequency behaviour in the power demand estimation. This aspect is generally neglected in literature although it has a significative impact. The effectiveness of the present approach is experimentally demonstrated on field. More specifically, the developed tool is applied to estimate the power demand of two real distribution networks and the tool results are compared with on-field recordings. This comparison demonstrates that the proposed approach represents a promising tool which, together with the restoration tests, could be an important ally in the design and management of the restoration plan of electrical networks.https://ieeexplore.ieee.org/document/9864597/Load modellingcold load pick upblack startpower system restorationmodelling of distributed generation |
spellingShingle | Roberto Benato Sebastian Dambone Sessa Giorgio M. Giannuzzi Cosimo Pisani Michele Poli Francesco Sanniti A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks IEEE Access Load modelling cold load pick up black start power system restoration modelling of distributed generation |
title | A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks |
title_full | A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks |
title_fullStr | A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks |
title_full_unstemmed | A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks |
title_short | A Novel Dynamic Load Modeling for Power Systems Restoration: An Experimental Validation on Active Distribution Networks |
title_sort | novel dynamic load modeling for power systems restoration an experimental validation on active distribution networks |
topic | Load modelling cold load pick up black start power system restoration modelling of distributed generation |
url | https://ieeexplore.ieee.org/document/9864597/ |
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