MyJournals Home  

RSS FeedsEnergies, Vol. 12, Pages 3202: Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and DemandManagement (Energies)

 
 

20 august 2019 18:02:38

 
Energies, Vol. 12, Pages 3202: Reliability Assessment of Distribution Networks with Optimal Coordination of Distributed Generation, Energy Storage and DemandManagement (Energies)
 


Modern power distribution networks assume the connection of Distributed Generators(DGs) and energy storage systems as well as the application of advanced demand managementtechniques. After a network fault these technologies and techniques can contribute individually tothe 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 efficientuse, maximizing the network reliability improvement. Until now, the effect of such networks withoptimal coordination has not been considered in reliability studies. In this paper, DGs, energy storageand 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 optimalcoordination of energy storage and demand management in order to reduce the energy-not-suppliedduring outages. The formulation proposed for the calculation of the reliability indices (includingthe modelling of optimal coordination) is described in detail. The methodology is applied to twodistribution systems combining DGs, energy storage and demand management. Results demonstratethe capability of the proposed method to assess the reliability of such type of networks and emphasisethe impact of the optimal coordination on reliability.


 
150 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 12, Pages 3203: Analysis of Fault-Tolerant Operation Capabilities of an Isolated Bidirectional Current-Source DC-DC Converter (Energies)
Energies, Vol. 12, Pages 3199: Research on Short-Term Load Prediction Based on Seq2seq Model (Energies)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten