Sökning: onr:"swepub:oai:DiVA.org:uu-407862" >
Smart charging of e...
Smart charging of electric vehicles considering photovoltaic power production and electricity consumption : a review
-
- Fachrizal, Reza, 1993- (författare)
- Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group
-
- Shepero, Mahmoud, 1992- (författare)
- Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group
-
- van der Meer, Dennis (författare)
- Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group
-
visa fler...
-
- Munkhammar, Joakim, 1982- (författare)
- Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group
-
- Widén, Joakim, 1980- (författare)
- Uppsala universitet,Byggteknik och byggd miljö,Built Environment Energy Systems Group
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2020
- 2020
- Engelska.
-
Ingår i: eTransporation. - : Elsevier. - 2590-1168. ; 4
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Photovoltaics (PV) and electric vehicles (EVs) are two emerging technologies often considered as cornerstones in the energy and transportation systems of future sustainable cities. They both have to be integrated into the power systems and be operated together with already existing loads and generators and, often, into buildings, where they potentially impact the overall energy performance of the buildings. Thus, a high penetration of both PV and EVs poses new challenges. Understanding of the synergies between PV, EVs and existing electricity consumption is therefore required. Recent research has shown that smart charging of EVs could improve the synergy between PV, EVs and electricity consumption, leading to both technical and economic advantages. Considering the growing interest in this field, this review paper summarizes state-of-the-art studies of smart charging considering PV power production and electricity consumption. The main aspects of smart charging reviewed are objectives, configurations, algorithms and mathematical models. Various charging objectives, such as increasing PV utilization and reducing peak loads and charging cost, are reviewed in this paper. The different charging control configurations, i.e., centralized and distributed, along with various spatial configurations, e.g., houses and workplaces, are also discussed. After that, the commonly employed optimization techniques and rule-based algorithms for smart charging are reviewed. Further research should focus on finding optimal trade-offs between simplicity and performance of smart charging schemes in terms of control configuration, charging algorithms, as well as the inclusion of PV power and load forecast in order to make the schemes suitable for practical implementations.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Infrastrukturteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Infrastructure Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Nyckelord
- Photovoltaics
- electric vehicles
- electricity consumption
- smart charging
- energy management system
- charging optimization
- Engineering Science with specialization in Civil Engineering and Built Environment
- Teknisk fysik med inriktning mot byggteknik och byggd miljö
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
Hitta via bibliotek
Till lärosätets databas