Abstract
Electric vehicles have emerged as one of the most promising technologies, and their mass introduction may pose threats to the electricity grid. Several solutions have been proposed in an attempt to overcome this challenge in order to ease the integration of electric vehicles. A promising concept that can contribute to the proliferation of electric vehicles is the local electricity market. In this way, consumers and prosumers may transact electricity between peers at the local community level, reducing congestion, energy costs and the necessity of intermediary players such as retailers. Thus, this paper proposes an optimization model that simulates an electric energy market between prosumers and electric vehicles. An energy community with different types of prosumers is considered (household, commercial and industrial), and each of them is equipped with a photovoltaic panel and a battery system. This market is considered local because it takes place within a distribution grid and a local energy community. A mixed-integer linear programming model is proposed to solve the local energy transaction problem. The results suggest that our approach can provide a reduction between 1.6% to 3.5% in community energy costs.
Highlights
The transportation sector in Europe contributes to one-quarter of the global greenhouse gas (GHG) emissions [1]
∀ j ∈ Nj, ∀t ∈ Nt where Pj,t is the maximum limit for electric vehicles (EVs) electricity purchase to the retailer, Bin j,t is a binary variable to active the transaction of electricity between EV and retailer and EV Move gives the indication if the EV is travelling (0) or it is available to charge (1)
This work presented an innovative P2V market application in an energy community constituted by 15 prosumers and 20 EVs
Summary
The transportation sector in Europe contributes to one-quarter of the global greenhouse gas (GHG) emissions [1]. The authors of [14] presented a simulation where the household prosumers provided flexibility to the distributed system operator (DSO), and the quantity and price for flexibility were determined considering an auction approach. EVs were included in an aggregated way to provides services to DSO to reduce the system peak load Another application with EVs to offers services for the network operator was presented by the authors of [17], who proposed the charging management of EVs to reduce the photovoltaic (PV) curtailment. The proposed model contributes to the integration of RES into the system and the empowerment of electricity end-users, namely by allowing prosumers and EVs to have an active role in the peer electricity transactions. The model includes realistic constraints, prosumers load and generation profiles, PV systems, energy storage systems, EVs and market transactions constraints.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
