A Risk Based Method for Energy Management of Smart EV Parking Lot Equipped with Renewable Energies
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
Hamid Helmi
1
,
taher abedinzade
2
,
جمال بیضاء
3
,
Sima Shahmohammadi
4
,
Ali Daghigh
5
1 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
2 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
3 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
4 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
5 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
الکلمات المفتاحية: Energy Resources, Renewable Energy, Uncertainty, Demand Response, Energy Management System, Peer to Peer.,
ملخص المقالة :
The penetration of electric Vehicles (EVs) to the modern distribution system, has taken place in the last decade. Furthermore, Renewable Energies (RE) play an important role in such Micro-Grids (MG). Several Distributed Energy Resources (DER) including Distributed Generations (DGs) and Demand Response (DR) as well as EVs charge/discharge stations form a typical MG. In this paper, optimal DR-based charging and discharging strategies have been applied on the renewable-energy-based charging station of Electric Vehicles. In order to avoid profit loss due to the uncertainties of renewable energies, Peer to Peer (P2P) energy bartering between EVs charging station as prosumers is suggested in this paper. Therefore, in this paper, the management systems are developed for charge and discharge of EVs and station batteries, as well as Energy Management System (EMS) in order to do so, developed EMS was applied to the individual station in the first step. In the second step, the P2P power transaction was added to the model for the purpose of smoothening volatile uncertain load and renewables. The proposed model is a Mixed-Integer Linear Programming (MILP) and GAMS/CPLEX has been used to solve it. Numerical studies have proved deployment of aggregator is to be more beneficiary for Virtual Power Plant (VPP)
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