Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management
Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of th...
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doaj-26d8a1ca9dab4e3eac0b9c284bbd8b282020-11-24T20:48:10ZengMDPI AGEnergies1996-10732019-08-011216320210.3390/en12163202en12163202Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand ManagementAlberto Escalera0Edgardo D. Castronuovo1Milan Prodanović2Javier Roldán-Pérez3IMDEA Energy Institute, 28935-Mostoles, Madrid, SpainDepartment of Electrical Engineering, University Carlos III de Madrid, Avda. Universidad 30, 28911-Leganés, Madrid, SpainIMDEA Energy Institute, 28935-Mostoles, Madrid, SpainIMDEA Energy Institute, 28935-Mostoles, Madrid, SpainModern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.https://www.mdpi.com/1996-1073/12/16/3202distribution networksenergy storagedemand managementreliability assessmentoptimal restoration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alberto Escalera Edgardo D. Castronuovo Milan Prodanović Javier Roldán-Pérez |
spellingShingle |
Alberto Escalera Edgardo D. Castronuovo Milan Prodanović Javier Roldán-Pérez Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management Energies distribution networks energy storage demand management reliability assessment optimal restoration |
author_facet |
Alberto Escalera Edgardo D. Castronuovo Milan Prodanović Javier Roldán-Pérez |
author_sort |
Alberto Escalera |
title |
Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management |
title_short |
Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management |
title_full |
Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management |
title_fullStr |
Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management |
title_full_unstemmed |
Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and Demand Management |
title_sort |
reliability assessment of distribution networks with optimal coordination of distributed generation, energy storage and demand management |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-08-01 |
description |
Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability. |
topic |
distribution networks energy storage demand management reliability assessment optimal restoration |
url |
https://www.mdpi.com/1996-1073/12/16/3202 |
work_keys_str_mv |
AT albertoescalera reliabilityassessmentofdistributionnetworkswithoptimalcoordinationofdistributedgenerationenergystorageanddemandmanagement AT edgardodcastronuovo reliabilityassessmentofdistributionnetworkswithoptimalcoordinationofdistributedgenerationenergystorageanddemandmanagement AT milanprodanovic reliabilityassessmentofdistributionnetworkswithoptimalcoordinationofdistributedgenerationenergystorageanddemandmanagement AT javierroldanperez reliabilityassessmentofdistributionnetworkswithoptimalcoordinationofdistributedgenerationenergystorageanddemandmanagement |
_version_ |
1716808697954435072 |