Installation Of Charging Stations Research Articles

Microgrid integrated electric vehicle charging algorithm with photovoltaic generation

Abstract Over the past decade, electric vehicle (EV) usage has dramatically increased. For many applications, employing vehicle-to-grid (V2G) and grid-to-vehicle (G2V) schemes can make use of EVs as temporary energy storage systems (ESS). Renewable energy resources can reduce the amount of energy consumed from the electrical grid. However, the electrical power generated from these resources fluctuates and is unpredictable. ESS can play a vital role in mitigating these negative effects, but the technology is still very expensive. Therefore, this study investigates the feasibility of using EVs as a temporary ESS according to system needs. A charging/discharging algorithm is suggested to find the number of EVs that minimizes the overall consumption of electrical energy drawn from the grid. A case study for the Microgrid (MG) system at Jordan University of Science and Technology (JUST) is used to illustrate the proposed algorithm. Results show energy saving of the suggested algorithm by comparing the amount of grid energy consumption before and after the installation of EV charging stations. In this case study, installation of charging stations at JUST reduces energy drawn from the grid, during working hours, by 90%. This reflects an increase in the percent of generated energy locally utilized, in essence reducing the energy injected into the grid for later usage, reducing grid storage fees.

Simultaneous Planning of PEV Charging Stations and DGs Considering Financial, Technical,and Environmental Effects

The growing demand for plug-in electric vehicles (PEVs) in the world has driven researchers to pay extra attention to charging stations (CSs) in order to meet supplying needs. Lower emission, convenient charging experience, high performance, and energy security are considered as the significant benefits of the mentioned technology. Despite the aforementioned advantages, inappropriate place and size of CSs have brought new challenges for electric distribution systems. Prominent features of distributed generations (DGs) make this technology appropriate for compensating relevant problems of CSs installation. In this paper, simultaneous optimal planning (placing and sizing) of CSs and DGs is presented to address new challenges. In addition, financial (investment costs), technical (system reliability, power loss, and voltage profile), and environmental (CO2 emission) issues are considered in the proposed objective function. A genetic algorithm is used to solve the optimization problem. Furthermore, the simulation study is carried out on a 33-bus radial distribution network. The simulation results show the effects of installation of CSs in the presence/absence of DGs on total costs, reliability, loss, voltage profile, and emission. Moreover, the effects of increasing PEV's availability are evaluated on the aforementioned terms in the electric distribution network.