A decentralized robust model for coordinated operation of smart distribution network and electric vehicle aggregators

Mohiti, Maryam; Monsef, Hassan; Lesani, Hamid

doi:10.1016/j.ijepes.2018.07.054

Cited by 82 publications

(26 citation statements)

References 35 publications

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“…The operation cost of WTs and PVs, that is, c WT and c PV , are assumed to be 10 and 8 cent/kW, respectively 35. Meanwhile, the degradation cost of ESSs, that is, c ESS ,is assumed to be 100 cent/kWh 36…”

Section: Resultsmentioning

confidence: 99%

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

Sarcheshmeh

Taher

Mazidi

2020

Int Trans Electr Energ Syst

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Summary Small size of microgrids (MGs), low inertia, and small scale of distributed generations, and high intermittent energy delivery of renewable generations, make the frequency security an important issue in the islanded multi‐microgrids (IMMG) systems which should be considered subject to the techno‐economic constraints of MGs. Motivated by this need, this article proposes a two‐stage stochastic optimization model for day‐ahead energy and reserve scheduling of IMMG systems. The objective of the proposed model is to minimize total operation cost of IMMG while the frequency security of system is preserved within a predefined range. To this end, the hierarchical frequency structure of IMMG system including primary, secondary, and tertiary control levels are precisely formulated in mixed‐integer linear programming format which can be efficiently solved by optimization software package. Meanwhile, to promote the proposed model, responsive loads and energy storage systems are considered in the energy and reserve scheduling problem. The proposed model is applied to a typical IMMG system to optimize energy and reserve scheduling over 24‐hr horizon. The obtained results verify that through the proposed model, the operation costs of MGs are minimized while frequency security of the system is preserved in a cost‐effective manner.

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Section: Resultsmentioning

confidence: 99%

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

Sarcheshmeh

Taher

Mazidi

2020

Int Trans Electr Energ Syst

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“…On the other hand, the power exchanged between the aggregator and the grid is also limited by the number of EVs plugged into the parking lot. As previously stated in the set of constrains regarding the connection capacity, these bounds must be met under any possible status: charging in ( 13) and ( 14), discharging in ( 15) and ( 16) and idle in (17) and (18). Note that, since all variables are non-negative, the left-hand side of (13) sets the charging power as the upper bound for the upward reserve in the charging status and, equivalently, the left-hand side of ( 16) sets the discharging power as the upper bound for the downward reserve in the discharging status.…”

Section: Decision-making Problemmentioning

confidence: 99%

“…A robust optimization procedure is presented in [17] to handle the uncertainty associated to the energy market price. The work in [18] proposes a decentralized model to the coordinate operation of a smart distribution network and a set of EV aggregators in which a robust approach is used to handle the uncertainty sources considered: wind generation and wholesale market price. A stochastic programming model to optimize the charging and discharging operation of an EV aggregator participating in the day-ahead energy market is proposed in [19] in which uncertainties, DA market price, and driving requirements are modeled through scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

Jiménez-Marín

Pérez-Ruiz

2021

Energies

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This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator. Although it is an economically driven model, the focus of this work relies on the actual availability of the scheduled reserves in a future real-time. To this end, two main features stand out: on one hand, the uncertainty regarding the EV driven pattern is modeled through a robust approach and, on the other hand, a set of non-anticipativity constraints are included to prevent from unavailable future states. The proposed model is posed as a mixed-integer robust linear problem in which binary variables are used to consider the charging, discharging or idle status of the EV aggregator. Results over a 24-h case study show the capability of the proposed model.

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“…Constraints related to battery approach are widely described in previews researches so analytical modelling will be used [2], [3].…”

Section: Constraints: State Of Charge Of Batteriesmentioning

confidence: 99%

Electric Vehicles Aggregator Participation in Energy Markets Considering Uncertainty Travel Patterns

Villanueva¹,

Delgado²,

Carbajal³

2019

IJITEE

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This research studies a general modeling to evaluate different scenarios of travel patterns and their impact on the daily cost negotiated in the Real Time and Day-Ahead market, using the GAMS methodology in a MILP model, evaluating also a characterization of the PQP market (price quantity probability). The purpose of this characterization is to determine the behavior of the electric energy market, considering also the deterioration of batteries and the negotiations of it in real time in situations of shortage and overload, optimizing in this way the effects of the analysis of the cost of the application of the battery on the different travel patterns, consequently triggering the emergence of the development of the local electric transport aggregator industry.

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A decentralized robust model for coordinated operation of smart distribution network and electric vehicle aggregators

Cited by 82 publications

References 35 publications

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

Electric Vehicles Aggregator Participation in Energy Markets Considering Uncertainty Travel Patterns

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