Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling

Cheng, Yu; Zhang, Chengwei

doi:10.1186/s41601-017-0056-y

Cited by 44 publications

(23 citation statements)

References 16 publications

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“…The centralized EV control center acts as the interaction bridge, which ensures the two-way energy flow between EVs and the power grid [36]. Basically, it uploads the information of each EV charging station, for example, the price of unit-adjusted electricity and real-time adjustable capacity of each EV charging station, to the dispatching center.…”

Section: Auxiliary Frequency Regulation Architecture Of Ev Charging Smentioning

confidence: 99%

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Tang

Ren

et al. 2019

Applied Sciences

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In order to more effectively reduce the regulation costs of power grids and to improve the automatic generation control (AGC) performance, an optimization mathematical model of generation command dispatch for AGC with an electric vehicle (EV) charging station is proposed in this paper, in which a cost consensus algorithm for AGC is adopted. Particularly, virtual consensus variables are applied to exchange information among different AGC units. At the same time, the actual consensus variables are utilized to determine the generation command, upon which the flexibility of the proposed algorithm can be significantly enhanced. Furthermore, the implement feasibility of such an algorithm is verified through a series simulation experiments on the Hainan power grid in southern China, where the results demonstrate that the proposed algorithm can effectively realize an autonomous frequency regulation of EVs participating in AGC.

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Section: Auxiliary Frequency Regulation Architecture Of Ev Charging Smentioning

confidence: 99%

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Tang

Ren

et al. 2019

Applied Sciences

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“…Moreover, a detailed economic analysis of SLBs is conducted according to the EV policy incentives [10]. In some studies, EVs are used as battery energy storage systems [23][24][25][26][27] to support the weak grid, which is termed the vehicle-to-grid (V2G), where the batteries are still in the EVs [28]. A cloud-connected battery management approach for decision making on vehicle battery second-life was introduced in [29], in which the residual value of vehicle batteries with respect to various potential SLB applications is estimated.…”

Section: Of 21mentioning

confidence: 99%

Optimization Strategy for Economic Power Dispatch Utilizing Retired EV Batteries as Flexible Loads

Sun

Peng

et al. 2018

Energies

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With the increasing penetration of new and renewable energy, incorporating variable adjustable power elements on the demand side is of particular interest. The utilization of batteries as flexible loads is a hot research topic. Lithium-ion batteries are key components in electric vehicles (EVs) in terms of capital cost, mass and size. They are retired after around 5 years of service, but still retain up to 80% of their nominal capacity. Disposal of waste batteries will become a significant issue for the automotive industry in the years to come. This work proposes the use of the second life of these batteries as flexible loads to participate in the economic power dispatch. The characteristics of second life batteries (SLBs) are varied and diverse, requiring a new optimization strategy for power dispatch at the system level. In this work, SLBs are characterized and their operating curves are obtained analytically for developing an economic power dispatch model involving wind farms and second life batteries. In addition, a dispatch strategy is developed to reduce the dispatch complex brought by the disperse spatial and time distribution of EVs and decrease the system operating cost by introducing incentive and penalty costs in regulating the EV performance. In theory, SLBs are utilized to reduce the peak-valley difference of power loads and to stabilize the power system. Test results based on a ten-unit power system have verified the effectiveness of the proposed dispatch model and the economic benefit of utilizing SLBs as flexible loads in power systems. This work may provide a viable solution to the disposal of waste batteries from EVs and to the stable operation of fluctuating power systems incorporating stochastic renewable energy.

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“…The overall power flow can be rescheduled and optimized through the optimization of VSC2 outputs ( Chance constrained programming [21]- [22] is used in the lower level optimization due to the uncertainty of renewable energies and loads. A multi-state system theory method is used to describe the uncertainty of random variables, and system states are used to describe operation scenarios [23].…”

Section: Lower Levelmentioning

confidence: 99%

Optimal configuration of hybrid AC/DC urban distribution networks for high penetration renewable energy

Zhang

Chen

Shen

et al. 2018

IET Generation, Transmission & Distribution

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Existing AC medium voltage distribution networks are facing challenges on handling increasing loads and renewable energy integrations. However, it is very difficult to build new distribution lines in urban areas. This paper proposes a configuration method of hybrid AC/DC medium voltage distribution networks, in which some existing AC lines are converted to DC operation. Existing topologies and dispatching scenarios are considered during configuration because the overall power flow can be rescheduled in the hybrid AC/DC distribution network. Therefore, transfer capacities of the lines are fully utilized, and more renewable energies are accommodated. A bi-level programming model is established embedding chance constraint programming to consider the intermittent output of renewable energy. In the upper level, a multiple objective optimal model is proposed in order to balance investments, power losses, and the maximum load level and renewable energy capacity. In the lower level, daily operations of the newly installed VSCs are optimized by a chance constraint programming. The influences of energy storage systems on the configuration are also analysed. Simulations studies are performed to verify the proposed method.

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Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling

Cited by 44 publications

References 16 publications

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Optimization Strategy for Economic Power Dispatch Utilizing Retired EV Batteries as Flexible Loads

Optimal configuration of hybrid AC/DC urban distribution networks for high penetration renewable energy

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