Distribution network risk assessment in the presence of RES and ESS
dc.contributor.author | Hocaoglu, Mehmet Hakan [ve ötekiler ...] | |
dc.date.accessioned | 2023-01-18T08:15:51Z | |
dc.date.available | 2023-01-18T08:15:51Z | |
dc.date.issued | 2022 | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.description.abstract | The high penetration of renewable energy sources in distribution networks may cause operational risks. Electrical energy storage systems are used in coordination with renewables to overcome bus voltage violations and branch power flow limits. In this study, with a probabilistic approach, a scheduling optimization problem is solved to minimize the total operational cost of a distribution network. In the presence of ESS and RESs, the risk indicators are investigated. Effects of CAES (Compressed Air Energy Storage) and increasing penetration level of PV systems and WTs are estimated. Results may provide a perspective for network operators to increase penetration of RESs in distribution networks. | en_US |
dc.identifier.doi | 10.1109/SGC54087.2021.9664056 | en_US |
dc.identifier.scopus | 2-s2.0-85124797819 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://hdl.handle.net/11467/6032 | |
dc.identifier.uri | https://doi.org/10.1109/SGC54087.2021.9664056 | |
dc.identifier.wos | WOS:000773944700072 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2021 11th Smart Grid Conference, SGC 2021 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
dc.subject | CAES, distribution network, optimal scheduling, RES, risk assessment. | en_US |
dc.title | Distribution network risk assessment in the presence of RES and ESS | en_US |
dc.type | Conference Object | en_US |
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