Investigation of Smart Distribution Network Response to Operation Performance of Plug-in Hybrid Electric Vehicles

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Aghaei, J (Autor) Outra; Bagheri, E (Autor) Outra; Heidari, A (Autor) Outra; Osorio, GJ (Autor) Outra; Shafie khah, M (Autor) Outra; Lujano Rojas, JM (Autor) Outra; Catalao, JPS (Autor) FEUP

Ata de Conferência Internacional

Título: 2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE)

Páginas: 1-6

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Torino, ITALY, SEP 26-29, 2017

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-00N-TP3

DOI: 10.1109/isgteurope.2017.8260304

Abstract (EN): Charging performance of Plug-in Hybrid Electric Vehicles (PHEVs) under various charging approaches brings new challenges for the distribution grid, such as feeder overloading and increment of loss. In this paper, the impact of charging PHEVs on the load profile is evaluated considering Demand Response (DR) programs in order to minimize the impact of charging PHEVs on load profile. In the proposed DR strategy, all consumers can determine and control their loads. Also, the proposed DR strategy can satisfy the function of reducing peak with regard to different PHEV penetration, while preserving consumer comfort levels. For performing DR programs, time of use and real time pricing models are used to evaluate the impacts of charging of PHEVs on distribution system operations. A 33-node test feeder has been studied to assess different penetration schemes of PHEVs including 11.3%, 35% and 45% PHEV penetration in residential loads. Moreover, uncertainties associated with PHEV charging performances are handled with Monte Carlo simulation. Results validate that the amount of peak loss, and Peak to Average Ratio (PAR) increase owing to PHEVs penetration growth. Also, the results illustrate that scheduling for the operation of PHEVs with DR program reduces the distribution losses and PAR.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6