Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation

Ahmadian, Ali; Sedghi, Mahdi; Mohammadi‐Ivatloo, Behnam; Elkamel, Ali; Golkar, Masoud Aliakbar; Fowler, Michael

doi:10.1109/tste.2017.2768437

Cited by 116 publications

(68 citation statements)

References 32 publications

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“…In other words, a huge number of EVs could be a solution to alleviate climate change issues stemming from greenhouse gas emissions [2][3][4]. Some subjects, such as mitigating energy crises and the employment of sustainable resources, could increase interest in the use of EVs among individuals and governments; however, high EV penetration in power systems could create problems in terms of security and the economy [5][6][7]. To deal with these challenges, many researchers have suggested the coordinated and smart charging of electric vehicles [8,9].…”

Section: Motivationmentioning

confidence: 99%

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Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

et al. 2020

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Selecting an appropriate contract price between electric vehicle aggregators and electric vehicle owners is an uncertain, multi-criteria decision-making issue. In addition, the results can cause strong conflict due to different aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively affects the cost for owners. The value of the contract price can change the optimal scheduling of EVAs in the day-ahead market. Taking into consideration this context, the current paper proposes to solve the multi-objective scheduling problem of an aggregator with a goal programming approach. The presented approach sets a satisfaction level for each goal according to decision-makers' preference. Numerical results illustrate the validity of this approach to balance different performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.

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Section: Motivationmentioning

confidence: 99%

“…Minimum and maximum limits of charging and discharging power are satisfied through Constraints (7) and (8), respectively. Two auxiliary binary variables u s charge and u s discharge are used to set the technical restriction through (9).…”

Section: Of 12mentioning

confidence: 99%

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

et al. 2020

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“…It is calculated as the multiplication of the battery degradation weight α D k of k-th MES and the battery degradation cost C D k of k-th MES. The battery degradation cost refers to a modified model as in the work [11]:…”

Section: B Mes Modelmentioning

confidence: 99%

Compensation of Charging Station Overload via On-Road Mobile Energy Storage Scheduling

Chen

Wang

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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Supported by the technical development of electric battery and charging facilities, plug-in electric vehicle (PEV) has the potential to be mobile energy storage (MES) for energy delivery from resourceful charging stations (RCSs) to limited-capacity charging stations (LCSs). In this paper, we study the problem of using on-road PEVs as MESs for energy compensation service to compensate charging station (CS) overload. A price-incentive scheme is proposed for power system operator (PSO) to stimulate on-road MESs fulfilling energy compensation tasks. The priceservice interaction between the PSO and MESs is characterized as a one-leader, multiple-follower Stackelberg game. The PSO acts as a leader to schedule on-road MESs by posting service price and on-road MESs respond to the price by choosing their service amount. The existence and uniqueness of the Stackelberg equilibrium are validated, and an algorithm is developed to find the equilibrium. Simulation results show the effectiveness of the proposed scheme in utility optimization and overload mitigation.

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“…The demand side is comprised of three sorts of loads (cooling load, heating load, power load) and EV connections. EVs are not considered as pure loads since they can also act as a power provider [20]. The charging devices for EVs not only provide the working staff and local residents with charging services, but also achieve V2G, where the EV owners sell excessive electricity to the BIES.…”

Section: Paper Pros Consmentioning

confidence: 99%

Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control

Wang

Tang²,

Chen

et al. 2018

Energies

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Abstract:With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) are not only a promising transportation solution, but also can be used as mobile energy storage and spinning reserves, which play an important role in building-integrated energy systems (BIESs) and can further promote energy efficiency. Considering the space-time characteristics of EVs and the room temperature demand, this study establishes a planning model using V2G technology to minimize daily dispatch cost. Four kinds of control modes were proposed, combining the technology of the resident-owned and staff-owned EVs, in combination with the internal heating and power supply system. In this paper, the operating state of the system and the interaction of the equipment are analyzed under different charging and discharging control modes of EVs. The economics of the microgrid of the comprehensive energy building under four control modes are also discussed. Simulation results indicate that the combined control mode of residential vehicle and office vehicle is optimal for building an integrated energy microgrid, and the room temperature requirements can also be used as an important income source for building the microgrid.

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Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation

Cited by 116 publications

References 32 publications

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

Compensation of Charging Station Overload via On-Road Mobile Energy Storage Scheduling

Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control

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