dc.contributor.author | Taşçıkaraoğlu, Akın | |
dc.date.accessioned | 2020-11-20T14:50:15Z | |
dc.date.available | 2020-11-20T14:50:15Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2210-6707 | |
dc.identifier.issn | 2210-6715 | |
dc.identifier.uri | https://doi.org/10.1016/j.scs.2018.01.002 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12809/1499 | |
dc.description | 0000-0001-8696-6516 | en_US |
dc.description | WOS: 000430393800021 | en_US |
dc.description.abstract | In this study, an energy management methodology is proposed for neighborhood area networks (NANs) composed of a shared energy storage system (ESS) and multiple consumer premises equipped with a distributed generation (DG) system, aiming to use ESS unit as a key tool for demand response (DR) programs. In the proposed methodology, an energy credit is provided to each household for the excess renewable energy the house provides to NAN and grid. For the mutual benefits of prosumers and load serving entities (LSEs), these credits are then used during peak periods, which results in a virtual shift of excess energy to the periods with higher energy prices. In order to account for the fairness between consumers in use of the shared ESS, a credit limit for each household is specifically predefined by LSE regarding its DG capacities. From the perspective of LSEs, the algorithm based on the implementation and scheduling the use of a shared ESS has the capability of supporting distribution network for decreasing peak demands, acting as an advanced DR strategy. The case studies based on actual data have shown that the proposed methodology enables to reduce the energy costs and peak demand significantly compared to a benchmark case. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [116E115, 117E527] | en_US |
dc.description.sponsorship | This work was supported in part by The Scientific and Technological Research Council of Turkey (TUBITAK) under Project Grant Numbers 116E115 and 117E527. | en_US |
dc.item-language.iso | eng | en_US |
dc.publisher | Elsevier Science Bv | en_US |
dc.item-rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Distributed Generation | en_US |
dc.subject | Dynamic Pricing | en_US |
dc.subject | Energy Management | en_US |
dc.subject | Energy Storage Sharing | en_US |
dc.subject | Neighborhood Area Network | en_US |
dc.subject | Photovoltaic Power Generation | en_US |
dc.title | Economic and operational benefits of energy storage sharing for a neighborhood of prosumers in a dynamic pricing environment | en_US |
dc.item-type | article | en_US |
dc.contributor.department | MÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Taşçıkaraoğlu, Akın | |
dc.identifier.doi | 10.1016/j.scs.2018.01.002 | |
dc.identifier.volume | 38 | en_US |
dc.identifier.startpage | 219 | en_US |
dc.identifier.endpage | 229 | en_US |
dc.relation.journal | Sustainable Cities and Society | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |