Two-stage stochastic operation considering day-ahead and real-time scheduling of microgrids with high renewable energy sources and electric vehicles based on multi-layer energy management system

Azarhooshang, Alireza; Sedighizadeh, Davoud; Sedighizadeh, Mostafa

doi:10.1016/j.epsr.2021.107527

Cited by 53 publications

(33 citation statements)

References 25 publications

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“…The MGs flexibility constraint is considered as (27). As there are prediction errors in forecasting the meteorological data, the RESs real power generation will be uncertain, and the MGs real power (observed from the substation or slack bus) may be different in various scenarios, leading to an imbalance in the DA and real-time operation results [9]. This condition is represented as flexibility shortage status from a financial perspective.…”

Section: The Bilevel Power Management Of the Sdn-connected Mgs Operationmentioning

confidence: 99%

A novel comprehensive energy management model for multi‐microgrids considering ancillary services

Veisi

Adabi

Kavousi‐Fard

et al. 2022

IET Generation Trans & Dist

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This article proposes a novel comprehensive multi-layer power management system (PMS) along with its smart distribution network (SDN) constraints as bi-level optimization to address the participation of multi-microgrids (MMGs) in day-ahead energy and ancillary services markets. In the first layer of the proposed model, optimal programming of MMGconnected SDN is considered, in which Microgrids (MGs) participation in the markets is performed to bidirectionally coordinate sources and active loads along with the operator of MGs. In the second layer, the bidirectional coordination of operators of MGs and SDN, that is PMS, is executed in which energy loss, voltage security, and expected energy not-supplied (EENS) are minimized as weighted sum functions. The problem of the difference between costs and revenues of MGs in markets is minimized subject to constraints of linearized AC-power flow, reliability, security, and flexibility of the MGs. To obtain a singlelevel model, the Karush-Kuhn-Tucker method is applied, and a hybrid stochastic-robust programming is implemented to model uncertainties associated with the load, renewable power, energy price, mobile storage energy demand, and network equipment accessibility. The contributions of this paper include the simultaneous modelling of several economic indicators, multi-layer energy management modelling, and stochastic mixed modelling of uncertainties. The efficiency of this method is validated by simultaneously evaluating the optimum condition of technical and economic indices of several SDNs and MGs. Flexibility of 0.022 MW is obtained for the proposed scheme, which is close to zero (100% flexibility). The voltage security index is increased to 22 by the mentioned scheme, which is close to its normal value, that is, 24. The voltage deviation is below 0.07 p.u. Energy losses are reduced by about 30% compared with that in power flow studies, and the EENS reaches roughly 3 MWh, that is, close to zero (100% reliability).

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Section: The Bilevel Power Management Of the Sdn-connected Mgs Operationmentioning

confidence: 99%

A novel comprehensive energy management model for multi‐microgrids considering ancillary services

Veisi

Adabi

Kavousi‐Fard

et al. 2022

IET Generation Trans & Dist

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“…Thus, it is anticipated that the decisionmaking speed and operators' processing actions are high thanks to dividing and sharing the whole data of system players among several operators. This has been discussed in few studies such as in [10,[16][17][18][19][20]. But, in [17][18] / [10,[19][20], the multi-bus mode of distribution network / MGs is not considered.…”

Section: Twolayermentioning

confidence: 99%

“…This has been discussed in few studies such as in [10,[16][17][18][19][20]. But, in [17][18] / [10,[19][20], the multi-bus mode of distribution network / MGs is not considered.  As it was observed in the literature review section, implementing energy management in MGs helps improve the technical status of the distribution network.…”

Section: Twolayermentioning

confidence: 99%

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A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids

et al. 2022

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This article develops a novel multi-microgrids (MMGs) participation framework in the dayahead energy and ancillary services, i.e. services of reactive power and reserve regulation, markets incorporating the smart distribution network (SDN) objectives based on two-layer power management system (PMS). A bi-level optimization structure is introduced wherein the upper level models optimal scheduling of SDN in the presence of MMGs while considering the bilateral coordination between microgrids (MGs) and SDN's operators, i.e. second layer's PMS. This layer is responsible for minimizing energy loss, expected energy not-supplied, and voltage security as the sum of weighted functions. In addition, the proposed problem is subject to linearized AC optimal power flow (LAC-OPF), reliability and security constraints to make it more practical. Lower level addresses participation of MGs in the competitive market based on bilateral coordination among sources, active loads and MGs' operator (first layer's PMS). The problem formulation then tries to minimize the difference between MGs' cost and revenue in markets while satisfying constraints of LAC-OPF equations, reliability, security, and flexibility of the MGs. Karush-Kuhn-Tucker method is exploited to achieve a single-level model. Moreover, a stochastic programming model is introduced to handle the uncertainties of load, renewable power, energy price, the energy demand of mobile storage, and availability of network equipment. The simulation results confirm the capabilities of the suggested stochastic two-layer scheme in simultaneous evaluation of the optimal status of different technical and economic indices of the SDN and MGs.INDEX TERMS Two-layer power management system, Energy and ancillary services markets, Multi-criteria objectives, Multi-microgrids, Multi-objective bi-level optimization.

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“…Existing studies put forward two kinds of approaches to deal with the uncertainties in the optimal scheduling: (1) uncertainty modelling using stochastic programming, fuzzy programming, and robust optimization to eliminate effect of the prediction errors in day-ahead scheduling stage [1,2]; (2) multi-stage optimization that generally combines day-ahead, intraday and real-time dispatching by taking advantages of the higher prediction accuracy in a shorter time [3]. With the improvement of prediction technologies recent years [4], multi-stage optimal scheduling is expected to have good application prospects for energy management of the microgrid.…”

Section: Introductionmentioning

confidence: 99%

Dual-Stage Optimal Scheduling for a Grid-Connected Microgrid

Liu,

Su,

Sun

et al. 2021

Preprint

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A dual-stage day-ahead and real-time multi-energy cooperative optimization scheduling scheme is proposed for a grid-connected microgrid including photovoltaic (PV), battery storage (BS), and gas turbine (GT). In the day-ahead stage, the economic optimization is the aim.Based on the relative level of the tiered electricity prices, charge and discharge depreciation cost of BS, power generation cost of GT, day-ahead optimization strategy is proposed and the power allocations of PV, BS, GT, and GRID is formulated. Day-ahead panned interconnection power between the microgrid and main grid is passed to real-time scheduling stage as the constraint. In the realtime stage, the minimization of the operation costs at each dispatching period (15 mins) is taken as the objective. Real-time optimization strategy is proposed to modify the power allocations scheduled in the day-ahead stage. Results prove that the proposed dual-stage optimization of the scheduling has advantages in improving the operation economy of the microgrid.

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Two-stage stochastic operation considering day-ahead and real-time scheduling of microgrids with high renewable energy sources and electric vehicles based on multi-layer energy management system

Cited by 53 publications

References 25 publications

A novel comprehensive energy management model for multi‐microgrids considering ancillary services

A novel comprehensive energy management model for multi‐microgrids considering ancillary services

A Framework of Electricity Market Based on Two-Layer Stochastic Power Management for Microgrids

Dual-Stage Optimal Scheduling for a Grid-Connected Microgrid

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