| dc.contributor.author | Paterakis, N. G. | |
| dc.contributor.author | Sánchez de la Nieta, Agustín | |
| dc.contributor.author | Catalão, JPS | |
| dc.contributor.author | Bakirtzis, A.G. | |
| dc.contributor.author | Ntomaris, A | |
| dc.contributor.author | Contreras, Javier | |
| dc.date.accessioned | 2024-02-07T09:20:55Z | |
| dc.date.available | 2024-02-07T09:20:55Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | N. G. Paterakis, A. A. Sánchez de la Nieta, J. P. S. Catalão, A. G. Bakirtzis, A. Ntomaris and J. Contreras, "Evaluation of load-following reserves for power systems with significant RES penetration considering risk management," 2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2015, pp. 1-6, doi: 10.1109/SEGE.2015.7324574. | es |
| dc.identifier.isbn | 978-146737932-8 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12412/5072 | |
| dc.description.abstract | In this study a novel two-stage stochastic programming based day-ahead joint energy and reserve scheduling model is developed. Demand-side as a reserve resource is explicitly modeled through responsive load aggregations, as well as large industrial consumers that directly participate in the scheduling procedure. Furthermore, a risk-hedging measure is introduced, namely the Conditional Value-at-Risk (CVaR), to analyze the behavior of energy and reserve scheduling by both the generation and the demand-side for a risk-averse ISO. The proposed methodology is tested on the practical non-interconnected insular power system of Crete, Greece, which is characterized by a significant penetration of Renewable Energy Sources (RES). | es |
| dc.description.abstract | Es la versión aceptada del documento. Se puede consultar la versión final en el DOI 10.1109/SEGE.2015.7324574 | es |
| dc.language.iso | eng | es |
| dc.title | Evaluation of load-following reserves for power systems with significant RES penetration considering risk management | es |
| dc.type | conferenceObject | es |
| dc.identifier.conferenceObject | IEEE International Conference on Smart Energy Grid Engineering | es |
| dc.identifier.doi | 10.1109/SEGE.2015.7324574 | |
| dc.rights.accessRights | embargoedAccess | es |
| dc.subject.keyword | Ancillary services | es |
| dc.subject.keyword | Conditional value-at-risk (CVaR) | es |
| dc.subject.keyword | Demand response | es |
| dc.subject.keyword | Risk-aversion | es |
