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 3067
Special Issue Editor
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
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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
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