Multi-objective techno-economic-environmental optimisation of electric vehicle for energy services
| Autor: | Yue Wang, Bert Herteleer, Ridoy Das, Jos Warmerdam, Ghanim Putrus, Mousa Marzband, Richard Kotter |
|---|---|
| Přispěvatelé: | Kenniscentrum Techniek, Lectoraat Energie en Innovatie, Urban Technology |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
business.product_category
business.industry End user Computer science 020209 energy Mechanical Engineering TK Scheduling (production processes) Context (language use) 02 engineering and technology Building and Construction H800 Management Monitoring Policy and Law Grid Automotive engineering Renewable energy General Energy Smart grid 020401 chemical engineering Electric vehicle 0202 electrical engineering electronic engineering information engineering Electricity 0204 chemical engineering business |
| Zdroj: | Applied Energy, 257:113965. Elsevier |
| ISSN: | 0306-2619 |
| Popis: | Electric vehicles and renewable energy sources are collectively being developed as a synergetic implementation for smart grids. In this context, smart charging of electric vehicles and vehicle-to-grid technologies are seen as a way forward to achieve economic, technical and environmental benefits. The implementation of these technologies requires the cooperation of the end-electricity user, the electric vehicle owner, the system operator and policy makers. These stakeholders pursue different and sometime conflicting objectives. In this paper, the concept of multi-objective-techno-economic-environmental optimisation is proposed for scheduling electric vehicle charging/discharging. End user energy cost, battery degradation, grid interaction and CO2 emissions in the home micro-grid context are modelled and concurrently optimised for the first time while providing frequency regulation. The results from three case studies show that the proposed method reduces the energy cost, battery degradation, CO2 emissions and grid utilisation by 88.2%, 67%, 34% and 90% respectively, when compared to uncontrolled electric vehicle charging. Furthermore, with multiple optimal solutions, in order to achieve a 41.8% improvement in grid utilisation, the system operator needs to compensate the end electricity user and the electric vehicle owner for their incurred benefit loss of 27.34% and 9.7% respectively, to stimulate participation in energy services. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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