Real-Time PEV Charging/Discharging Coordination in Smart Distribution Systems

Shaaban, Mostafa F.; Ismail, Muhammad; El-Saadany, Ehab F.; Zhuang, Weihua

doi:10.1109/tsg.2014.2311457

Cited by 128 publications

(65 citation statements)

References 26 publications

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“…In [18], the authors explored the relationship between feeder losses, load factor and load variance and proposed three optimal charging control algorithms to minimize the impacts of PEVs charging on the distribution system. In a recent work [19], the authors proposed an online coordination method to optimally charge PEVs in order to maximize the PEV owner's satisfaction and to minimize system operating costs. The proposed charging architecture guarantees the feasibility of the charging decisions by means of a prediction unit that can forecast future EVs power demand and through a two-stage optimization unit.…”

Section: Related Workmentioning

confidence: 99%

“…The differences between our work and these related works are summarized as follows: 1) related works [7,8,18,19] on EV charging/discharging allocation do not consider the energy storage function from a MGCC perspective. EV driving patterns which directly determine the parameters of the aggregate battery storage should gain more attention; 2) the variability of aggregate battery caused by individual EV's driving pattern and the battery cycle life reduction caused by V2G implementation are not considered in [20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…SOC dynamics are shown in (20). Equation (19) defines the minimum SOC when the EV leaves home. The limit of charging/discharging power is shown in (22) and (23).…”

Section: Ev Aggregator Scheduling Problemmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Energy Exchange Scheduling for Multimicrogrid System With Electric Vehicles

Wang

Guan

et al. 2016

IEEE Trans. Smart Grid

153

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Abstract-Electric vehicles (EVs) can be considered as flexible mobile battery storages in microgrids. For multiple microgrids in an area, coordinated scheduling on charging and discharging are required to avoid power exchange spikes between the multimicrogrid system and the main grid. In this paper, a two-stage integrated energy exchange scheduling strategy for multimicrogrid system is presented, which considers EVs as storage devices. Then several dual variables, which are representative of the marginal cost of proper constraints, are utilized to form an updated price, thereby being a modification on the original electricity price. With this updated price signal, a price-based decentralized scheduling strategy is presented for the Microgrid Central Controller (MGCC). Simulation results show that the two-stage scheduling strategy reduces the electricity cost and avoids frequent transitions between battery charging/discharging states. With the proposed decentralized scheduling strategy, each microgrid only needs to solve its local problem and limits the total power exchange within the safe range.Index Terms--Microgrid, electric vehicle, energy exchange, dual variable, updated price signal, decentralized scheduling strategy. I. NOMENCLATURE Index:i Index for microgrid,, ( ) i s B t Lower bound of the aggregate batteries' remaining energy in microgrid i during t in scenario s (kWh).Upper bound of the aggregate batteries' remaining energy in microgrid i during t in scenario s (kWh). ( ) C tOriginal electricity price during t (CNY/kWh).

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Integrated Energy Exchange Scheduling for Multimicrogrid System With Electric Vehicles

Wang

Guan

et al. 2016

IEEE Trans. Smart Grid

153

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“…The first thread is opportune charging and/or discharging and example works include [36,37,38,39,40,41]. In general, these works charge and/or discharge vehicles at some opportune time.…”

Section: Electric Vehicle Charging Overviewmentioning

confidence: 99%

Sustainable Transportation with Electric Vehicles

Kong

Xue

2017

FNT in Electric Energy Systems

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“…Since the EV's market growing rapidly, penetration of the EV's investigation is the major challenge. The micro grid also facing an over loading problem at peak load conditions [21]- [27]. In both global and local scheduling problem the Plug-in Electric Vehicle charging cost is high [15]- [20].…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle

Kumar¹,

Kumar²

2018

IJET

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Owing to several advantages of Plug-in Electric Vehicles (PEVs) like less noise, emission less, good efficiency and the reduced cost has attention to the governments, researchers and manufactures in recent time. The Plug-in Electric Vehicle (PEV) plays a vital role in replacement of conventional vehicles in future, because of penetration of renewable energy resources in conventional generation. The modernized of micro grid is happening due to usage of clean energy for EV charging. The cost of electric vehicle charging is challenging issue in the development of plug-in electric vehicle. The coordination between renewable generation and conventional generation is very much needed in near future. The dynamic nature of renewable energy resources causes frequent interrupts in electric vehicle charging. The problem of nonlinear power generation with renewable resources is overcome by electric vehicle battery storage system which enables the EV battery to charge during low demand period and gets discharged into the micro grid during high demand periods. This paper developed an optimal schedule for stationary Plug-in Electric Vehicle charging in operation with micro grid. The obtained optimal schedule provides balance between active and reactive power in generation and load as well. The integration of renewable energy resources is achieved through solar, wind in Vehicle-2-Grid (V2G) approach which is used to safeguard to renewable energy resources by store additional energy produced during peak load period and feeding back to the micro grid during low load period. As a result the stable operation of the micro grid and EV charging with low cost is achieved in this paper.

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Real-Time PEV Charging/Discharging Coordination in Smart Distribution Systems

Cited by 128 publications

References 26 publications

Integrated Energy Exchange Scheduling for Multimicrogrid System With Electric Vehicles

Integrated Energy Exchange Scheduling for Multimicrogrid System With Electric Vehicles

Sustainable Transportation with Electric Vehicles

Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle

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