Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xiangchu Xu"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 9, Pp 2192-2206 (2023)
Abstract Accurately evaluating the response capability of electric vehicles (EVs) is very important for an EV aggregator (EVA) to formulate reasonable bidding strategies in ancillary service markets. Most of the methods proposed in the existing liter
Externí odkaz:
https://doaj.org/article/f95b327b50984394aa234e3abb851394
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/c3c6a336954b4ef997e63f1287c75fd4
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Accurately quantitative evaluation of the response capability of electric vehicle aggregator (EVA), i.e., the adjustable range of power, is the premise and basis of its participation in the demand response (DR). In response to the current EVA’s res
Externí odkaz:
https://doaj.org/article/ed89c5a33b1c4c2d9c816fca7792e29b
Publikováno v:
IEEE Transactions on Industry Applications. 57:3366-3376
With the wide deployment of charging piles and the development of vehicle-to-grid technology, electric vehicles (EVs) will have more opportunities to participate in the operation and scheduling of electric power system through the EV aggregator (EVA)
Publikováno v:
2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS).
Regional photovoltaic (PV) power forecasting provides a foundation for grid management and trading in the power markets. To tackle the deficiency of conventional regional PV power modeling methods, such as the problem of challenging to select useful
Publikováno v:
2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS).
Electric vehicles (EVs) can provide multiple auxiliary services for electric power system and obtain certain economic benefits utilizing vehicle-to-grid (V2G) technology. As an agent between the power grid and EV customers, quantitatively evaluating
Autor:
Joao P. S. Catalao, Xiangchu Xu, Miadreza Shafie-khah, Mostafa Vahedipour-Dahraie, Fei Wang, Homa Rashidizadeh-Kermani
Publikováno v:
2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS).
This paper presents a scholastic model for energy management of smart microgrids with demand response (DR) considering demand and supply uncertainties. In this model, responsive loads are modeled by using price elasticity of demand concept and with t
Publikováno v:
IAS
With the popularization of charging piles and the development of V2G (vehicle-to-grid) technology, electric vehicles (EVs) will have more and more opportunities to participate in the operation and scheduling of electric power system. As an agent betw