Jianxiao Wang, Zhaoyuan Wu, Ershun Du, et al. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 31-40.
DOI:
Jianxiao Wang, Zhaoyuan Wu, Ershun Du, et al. Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 31-40. DOI: 10.17775/CSEEJPES.2019.01330.
Constructing a V2G-enabled regional energy Internet for cost-efficient carbon trading
The increasing penetration of plug-in electric vehicles (PEVs) has highlighted the importance of coordinating ubiquitous distributed energy resources (DERs) via the internet of things (IoT). With the help of vehicle-to-grid (V2G) technology
PEVs can be aggregated to behave as a storage system
yielding both economic and environmental benefits. In this paper
we propose an optimal bidding framework for a V2G-enabled regional energy internet (REI) to participate in day-ahead markets considering carbon trading. The REI operator aims to maximize the net profits from day-ahead markets while anticipating realtime adjustments. A detailed battery model is developed to depict the charging and discharging capability of V2G-enabled PEVs. A two-stage stochastic optimization model is formulated to schedule the operation of PEV fleets against various sources of uncertainties
e.g.
the arrival and departure time of PEVs
solar power and real-time prices. Case studies undertaken based on realistic datasets demonstrate that the coordination of the V2G-enabled PEVs and other DERs can facilitate the accommodation of renewable energy
thus improving the REI's revenues in energy and carbon markets.