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Reliability Performance of Renewable Energy Technology under Uncertainty from Power Network Hosting Capacity

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 2679

Special Issue Editor

Department of Electrical Engineering, ESTIA Institute of Technology, 64210 Bidart, France
Interests: power systems reliability; network resiliency; distribution system planning; risk and uncertainty modelling; quality of supply performance; network reduction; low-carbon technologies; DG hosting capacity; network ancillary services; microgrid energy management systems; optimal microgrid planning; islanded microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increased penetration of renewable energy resources, which are intermittent in nature and offer a volatile power output uncertainty, is posing major challenges to the existing energy distribution due to the high risk and complex decision-making involved in deploying new efficient and reliable network infrastructures. Within this context, the growing penetration of distributed generation (DG) is modifying generation and demand patterns at the interconnection between transmission and distribution systems, i.e., grid supply points (GSPs), which changes the way the transmission grid operates and makes energy balancing, demand forecasting and constraint management more challenging. As one of the benefits of DG is reliability enhancement, the conventional GSP duty of satisfying system security and demand adequacy can now be shared by DG embedded in distribution networks.

Considerable work has been undertaken at power distribution levels to weigh the influence of DG on local network adequacy, typically denoted as “hosting capacity” (HC). However, its relatively low and dispersed penetration at the current stage has led to limited studies on the impact of DG on transmission levels, with research particularly lacking for the concerns of network security and reliability.

This Special Issue aims to publish high-quality research papers on the interdisciplinary field of optimisation under uncertainty and targets new probabilistic methods (i.e., scalable computational solutions) for managing large-scale power system reliability, from long-term planning to real-time operation, with the introduction of a wide range of renewable energy technologies. Research sought includes innovative approaches to the analytical and simulation techniques (e.g., Monte Carlo, Markov, life-cycle, and risk modelling) for assessing frequency and duration of outages due to the penetration of low-carbon technologies and the lack of energy/power supply that also consider system reliability metrics expressed as accurate probability distributions.

Dr. Ignacio Hernando-Gil
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Renewable energy reliability performance
  • Power system planning
  • Distributed generation hosting capacity
  • Optimisation under uncertainty
  • Risk modelling
  • Quality of supply assessment
  • Grid resiliency performance
  • Probabilistic network analysis

Published Papers (1 paper)

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Research

22 pages, 4504 KiB  
Article
Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks
by Mikka Kisuule, Ignacio Hernando-Gil, Jonathan Serugunda, Jane Namaganda-Kiyimba and Mike Brian Ndawula
Sustainability 2021, 13(17), 9579; https://0-doi-org.brum.beds.ac.uk/10.3390/su13179579 - 25 Aug 2021
Cited by 6 | Viewed by 1942
Abstract
Electricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational [...] Read more.
Electricity-distribution network operators face several operational constraints in the provision of safe and reliable power given that investments for network area reinforcement must be commensurate with improvements in network reliability. This paper provides an integrated approach for assessing the impact of different operational constraints on distribution-network reliability by incorporating component lifetime models, time-varying component failure rates, as well as the monetary cost of customer interruptions in an all-inclusive probabilistic methodology that applies a time-sequential Monte Carlo simulation. A test distribution network based on the Roy Billinton test system was modelled to investigate the system performance when overloading limits are exceeded as well as when preventive maintenance is performed. Standard reliability indices measuring the frequency and duration of interruptions and the energy not supplied were complemented with a novel monetary reliability index. The comprehensive assessment includes not only average indices but also their probability distributions to adequately describe the risk of customer interruptions. Results demonstrate the effectiveness of this holistic approach, as the impacts of operational decisions are assessed from both reliability and monetary perspectives. This informs network planning decisions through optimum investments and consideration of customer outage costs. Full article
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