Operational scheduling of a smart distribution system considering electric vehicles parking lot: A bi-level approach

Sadati, S. Muhammad Bagher; Moshtagh, Jamal; Shafie‐khah, Miadreza; Rastgou, Abdollah; Catalão, João P.S.

doi:10.1016/j.ijepes.2018.08.021

Cited by 95 publications

(13 citation statements)

References 51 publications

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“…In terms of bi-level optimization, there are some noteworthy publications. Ref [14] has investigated the optimal scheduling of EV parking lot in a stochastic bi-level optimization framework, in which the optimal energy procurement makes up the upper level problem, while parking lot optimization is investigated in the lower level. Optimal participation of an EV-owning household in the energy market is investigated in [15],…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets

et al. 2021

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Section: Literature Reviewmentioning

confidence: 99%

A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets

et al. 2021

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“…For instance, the articles [354][355][356][357][358][359] have adopted the TOU as a price modality, whereas the References [360][361][362][363][364][365][366][367][368][369][370] have used the RTP scheme. Furthermore, CPP modality can be efficiently utilized, as reported in References [371][372][373][374][375][376][377], while the authors of References [378][379][380][381][382][383] have proposed a DAP as a pricing modality in a competitive electricity market. However, the complexity and cost issues may constitute the main barriers toward the expansion in adopting different pricing frameworks as a day-to-day tool in the existing grid [384,385].…”

Section: Dynamic Pricing Mechanismsmentioning

confidence: 99%

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

et al. 2020

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The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.

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“…Moreover, they have used a DRP based on time-of-use (TOU) prices to encourage end-users to reduce their energy consumption during the high price periods and/or shift demands to the low-price ones. Bagher Sadati et al [29] have proposed a bi-level framework for the operational scheduling of a distribution system equipped with a PEVs parking lot and wind and solar energy sources. In their work, price-based and incentive-based DRPs have been used to maximize the distribution system profit.…”

Section: Literature Review On V2g Optimization Approachesmentioning

confidence: 99%

“…, N T }, all electric power demands (including the hourly RMG loads under TOU prices in a DRP and PEVs charging) should be met by the energy obtained through power generation (via PV panels, WTs and LDG units), storage (HSS), and/or purchasing (PEVs discharging and upstream power grid). For ensuring full coverage of electric power demands, the energy balance constraint (29) is included in the model.…”

Section: Energy Balance Constraintmentioning

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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Operational scheduling of a smart distribution system considering electric vehicles parking lot: A bi-level approach

Cited by 95 publications

References 51 publications

A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets

A hybrid robust-stochastic framework for strategic scheduling of integrated wind farm and plug-in hybrid electric vehicle fleets

A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources

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

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