1. Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks
- Author
-
Ignacio Hernando-Gil, Mike Brian Ndawula, Jonathan Serugunda, Mikka Kisuule, Jane Namaganda-Kiyimba, ESTIA Recherche, and Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)
- Subjects
component lifetime models ,Computer science ,020209 energy ,Reliability (computer networking) ,Geography, Planning and Development ,0211 other engineering and technologies ,TJ807-830 ,02 engineering and technology ,Management, Monitoring, Policy and Law ,TD194-195 ,Renewable energy sources ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,Component (UML) ,0202 electrical engineering, electronic engineering, information engineering ,network reliability ,GE1-350 ,Duration (project management) ,Constraint (mathematics) ,Monte Carlo simulation ,time-varying failure rates ,Electric power distribution ,021103 operations research ,Environmental effects of industries and plants ,Renewable Energy, Sustainability and the Environment ,[SDE.IE]Environmental Sciences/Environmental Engineering ,business.industry ,[SPI.NRJ]Engineering Sciences [physics]/Electric power ,risk assessment ,Preventive maintenance ,[SPI.TRON]Engineering Sciences [physics]/Electronics ,Reliability engineering ,Environmental sciences ,Network planning and design ,[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism ,preventive maintenance ,electrical_electronic_engineering ,Probability distribution ,overloading violations ,business - Abstract
International audience; 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.
- Published
- 2021