Assessing Blackout Risk With High Penetration of Variable Renewable Energies
| Autor: | Pere Colet, Benjamin A. Carreras, J. M. Reynolds-Barredo, Damià Gomila |
|---|---|
| Přispěvatelé: | Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España) |
| Rok vydání: | 2021 |
| Předmět: |
Opa model
General Computer Science Blackout Energy Transition island decarbonization variable renewable energy sources Variable renewable energy OPA model Island decarbonization medicine General Materials Science Variable renewable energy sources Energy transition power transmission grid Wind power business.industry Photovoltaic system General Engineering Física Grid Cascading failure TK1-9971 Renewable energy Reliability engineering Electricity generation Power transmission grid Energías Renovables Environmental science Electrical engineering. Electronics. Nuclear engineering medicine.symptom business |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname IEEE Access, Vol 9, Pp 132663-132674 (2021) |
| Popis: | We propose a method to analyze the risk of blackouts with high penetration of variable renewable energy sources (VRESs). We consider a model for the long-term evolution of the power grid including propagation of cascading failures, day-to-day fluctuations of renewable generation and moderate use of storage. We analyze grid resilience and stress as VRESs are progressively incorporated. We also evaluate the VRES performance as the average fraction of daily demand covered by renewables.We find that in general, VRES intrinsic variability increases the grid stress and the blackout risk. However, if VRESs are implemented in a distributed way, the spatial spreading of the generation may have a positive effect on grid resilience. As a case study, we analyze the replacement of conventional power plants by solar photovoltaic generation combined with storage in the power grid of the Balearic Islands. We also consider the use of source redundancy and briefly discuss the potential of wind energy. The work of Pere Colet and Damià Gomila was supported in part by the Ministerio de Ciencia e Innovación, Spain, in part by the Agencia Estatal de Investigación (AEI), Spain, in part by the Fondo Europeo de Desarrollo Regional (FEDER, EU) under Grant PACSS RTI2018-093732-B-C22, and in part by the Maria de Maeztu Program for Units of Excellence in Research and Development under Grant MDM-2017-0711. The work of Benjamín A. Carreras and José M. Reynolds-Barredo was supported by the Universidad Carlos III de Madrid, Spain, funded jointly by EU FEDER funds and by the Spanish Government through the National Research Project UNC313-4E-2361, Project ENE2009-12213-C03-03, Project ENE2012-33219, and Project ENE2012-31753 (for providing access to Uranus, a supercomputer cluster). |
| Databáze: | OpenAIRE |
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