An optimization model for siting and sizing of vehicle-to-grid facilities in a microgrid

Mortaz, Ebrahim; Vinel, Alexander; Dvorkin, Yury

doi:10.1016/j.apenergy.2019.03.131

Cited by 29 publications

(9 citation statements)

References 37 publications

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“…The author only focused on the V2G facilitates while its facilities to participate in ancillary services markets could further enhance economic benefits. H Khalkhali and S Hosseinian [47] have developed a threestage scheduling framework based on stochastic programming and MPC for operating the EV parking lots. This work only focused on the price of energy for the economic inputs and did not consider participating in ancillary services markets.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer

et al. 2022

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In this manuscript proposes a hybrid approach for locating and sizing Electric vehicle charging stations (EVCSs) optimally and managing the vehicle charging process. The proposed hybrid approach is to work in conjunction with Mexican Axolotl optimization (MAO) and Wild Horse Optimizer (WHO) hence it is named as MAOWHO approach. The major purposes of the proposed approach are to site and size of the electric vehicle parking lot (EVPL) and to improve the benefit of EVPL for the participation of the reserve market. In addition, power loss and voltage fluctuations occur due to the stochastic nature of renewable energy sources (RES) and electric vehicles (EV) demand load, which is reduced by the proposed approach. To optimally determine the size of the parking lot, the MAOWHO approach is adopted. The integration of the EV and PV systems, especially in parking lots, enhances the reliability and flexibility of the electrical system at critical moments. Multiple objective optimization problems are calculated to achieve objective variables to reduce power losses, voltage fluctuations, charging and supply costs, and EV costs. The location and capacity of the RES and EV charging stations in this optimization problem are objective variables. The MAOWHO approach enhances Solar Powered Electric Vehicle Parking Lot (EVSPL) participation in various energy and ancillary service markets that includes the effects of capacity payments. Besides, the implementation of MAOWHO approach is done by the MATLAB/Simulink platform and the performance of the MAOWHO approach is compared to the existing approaches. From the simulation outcome, it concludes that the proposed approach based performance provides a profit of 880 € compared to other approaches like SMO, CGO, SBLA.

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Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer

et al. 2022

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“…In addition to G2V scheme, research has shown with LSA that it is possible to reduce power losses in V2G scheme [142] [143] [144]. For example, authors in [128] propose a new placement and sizing approach of V2G facilities using CLF-based LSA. Similarly, [129] studies V2G coordination via optimal placement and sizing but with integrated DERs across the system.…”

Section: Ev Coordinationmentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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“…However, in addition to solving the PEVs scheduling problem, their mixed-integer nonlinear programming (MINLP) modelling approach is able to simultaneously optimize the SPL capacity and location. A related stochastic model has been pursued by Mortaz et al [27] to determine the optimal investment planning for the V2G technology in a microgrid.…”

Section: Literature Review On V2g Optimization Approachesmentioning

confidence: 99%

“…The decision variable DRP t can be either positive or negative, which implies that the load can either increase or decrease in the time period t ∈ T. Clearly, the amount of shifted load should be lower than the base load demand in each time period. This is ensured by constraint (27).…”

Section: Demand Response Programmentioning

confidence: 99%

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

2020

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Vehicle-to-grid (V2G) technology heralds great promise as a demand-side resource to contribute to more efficient grid management and promote the use of decentralized renewable energy. In this light, we propose a new optimization model for the sustainable energy and reserve market management in renewable-driven microgrid (RMG) plug-in electric vehicles (PEVs) parking lot systems. The RMG is composed of a hybrid photovoltaic/wind/hydrogen energy and storage system, along with local dispatchable generation units and bidirectional grid connection. The RMG is coupled to a smart PEVs parking lot, which is equipped with grid-to-vehicle (G2V) and V2G technologies allowing for not only PEVs aggregation and control but also optimal allocation of energy resources. Time-of-use (TOU) prices are considered in a demand response program (DRP) to enhance both economic and environmental performances by encouraging end-users to shift their energy demands from peak to off-peak time periods. Additionally, the model accounts for an economic incentive to PEVs owners to compensate for battery degradation. The integrated system eco-efficiency is evaluated through the application of the novel life cycle assessment-based Eco-cost indicator. The resulting mixed-integer linear programming model to minimize sustainability costs is implemented in GAMS and solved to global optimality. Different case studies are performed to demonstrate the effectiveness of the proposed modelling approach. Energy analyses results reveal that the optimal G2V-V2G operation, allied to TOU prices in a DRP, and reserve market management can reduce around 42% the energy and environmental costs of the RMG-PEVs parking lot system.

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An optimization model for siting and sizing of vehicle-to-grid facilities in a microgrid

Cited by 29 publications

References 37 publications

Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer

Location Determination of Electric Vehicles Parking Lot With Distribution System by Mexican AXOLOTL Optimization and Wild Horse Optimizer

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

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