Effect of electric vehicle parking lots' charging demand as dispatchable loads on power systems loss

It is very important for the application of artificial intelligence to accurately and quickly help the electric vehicles to find matching charging facilities. The site selection for electric vehicle charging station (EVCS) is a new field of artificial intelligence application, using artificial intelligence to analyze the current complex urban electric vehicle driving path, and then determining the location of charging stations. This paper proposes a novel hybrid model to decide the location of EVCS. First of all, this paper carries out the flow-refueling location model (FRLM) based on path requirement to determine the site selection of EVCS. Secondly, robust optimization algorithm is used to resolve the location model considering the uncertainty of charging demand. Then, queuing theory, which takes the charging load as a constraint in the location model, is integrated into the model. Last, but not the least, a case is conducted to verify the validity of the proposed model when dealing with location problem. As a result of the above analysis, it is effective to apply robust optimization algorithm and to determine the location of EVCSs effectively when charging demand generated on the path is uncertain. At the same time, queuing theory can help to determine the optimal number of EVCSs effectively, and reduce the cost of building EVCSs.

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Traffic-based modeling of electric vehicle charging load and its impact on the distribution network and railway station parking lots

3rd International Symposium on Environmental Friendly Energies and Applications (EFEA) ◽

10.1109/efea.2014.7059977 ◽

2014 ◽

Cited By ~ 1

Author(s):

Siyamak Sarabi ◽

Arnaud Davigny ◽

Vincent Courtecuisse ◽

Yann Riffonneau ◽

Benoit Robyns

Keyword(s):

Electric Vehicle ◽

Distribution Network ◽

Railway Station ◽

Parking Lots ◽

Electric Vehicle Charging ◽

Vehicle Charging

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Blockchain-Enabled Charging Right Trading Among EV Charging Stations

Energies ◽

10.3390/en12203922 ◽

2019 ◽

Vol 12 (20) ◽

pp. 3922 ◽

Cited By ~ 5

Author(s):

Ruijiu Jin ◽

Xiangfeng Zhang ◽

Zhijie Wang ◽

Wengang Sun ◽

Xiaoxin Yang ◽

...

Keyword(s):

Power Systems ◽

Power Transmission ◽

Charging Station ◽

Double Auctions ◽

Incentive Compatible ◽

Trading Mechanism ◽

Charging Stations ◽

Trading Simulation ◽

Ev Charging ◽

Charging Demand

Increasing penetration of electric vehicles (EVs) gives rise to the challenges in the secure operation of power systems. The EV charging loads should be distributed among charging stations in a fair and incentive-compatible manner while ensuring that power transmission and transformation facilities are not overloaded. This paper first proposes a charging right (or charging power ration) trading mechanism and model based on blockchain. Considering all kinds of random factors of charging station loads, we use Monte Carlo modeling to determine the charging demand of charging stations in the future. Based on the charging demand of charging stations, a charging station needs to submit the charging demand for a future period. The blockchain first distributes initial charging right in a just manner and ensures the security of facilities. Given that the charging urgency and elasticity differences vary by charging stations, all charging stations then proceed with double auction and peer-to-peer (P2P) transaction of charging right. Bids and offers are cleared via double auctions if bids are higher than offers. The remaining bids and offers are cleared via the P2P market. Then, this paper designs the charging right allocation and trading platform and smart contract based on the Ethernet blockchain to ensure the safety of the distribution network (DN) and the transparency and efficiency of charging right trading. Simulation results based on the Ethereum private blockchain show the fairness and efficiency of the proposed mechanism and the effectiveness of the method and the mechanism.

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Electrodeposited Cu2Sb as anode material for 3-dimensional Li-ion microbatteries

Journal of Materials Research ◽

10.1557/jmr.2010.0190 ◽

2010 ◽

Vol 25 (8) ◽

pp. 1485-1491 ◽

Cited By ~ 23

Author(s):

Emilie Perre ◽

Pierre Louis Taberna ◽

Driss Mazouzi ◽

Philippe Poizot ◽

Torbjörn Gustafsson ◽

...

Keyword(s):

Power Systems ◽

Electric Vehicle ◽

Hybrid Electric Vehicle ◽

Three Dimensional ◽

Current Collector ◽

High Energy ◽

Mobile Technologies ◽

3 Dimensional ◽

Increasing Demand ◽

Footprint Area

An increasing demand on high energy and power systems has arisen not only with the development of electric vehicle (EV), hybrid electric vehicle (HEV), telecom, and mobile technologies, but also for specific applications such as powering of microelectronic systems. To power those microdevices, an extra variable is added to the equation: a limited footprint area. Three-dimensional (3D) microbatteries are a solution to combine high-density energy and power. In this work, we present the formation of Cu2Sb onto three-dimensionally architectured arrays of Cu current collectors. Sb electrodeposition conditions and annealing post treatment are discussed in light of their influence on the morphology and battery performances. An increase of cycling stability was observed when Sb was fully alloyed with the Cu current collector. A subsequent separator layer was added to the 3D electrode when optimized. Equivalent capacity values are measured for at least 20 cycles. Work is currently devoted to the identification of the causes of capacity fading.

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