Adjustable robust optimization approach for two-stage operation of energy hub-based microgrids

Shams, Mohammad H.; Shahabi, Majid; MansourLakouraj, Mohammad; Shafie‐khah, Miadreza; Catalão, João P.S.

doi:10.1016/j.energy.2021.119894

Cited by 80 publications

(38 citation statements)

References 23 publications

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“…The other important factor, which has the most effect on EH performance is using a robust scheduling method. Mohammad H. Shams et al [20] suggested a min-max min robust method for the short-term scheduling of microgrids integrated with the natural gas network to model the uncertainty of WT generation, electrical, and thermal loads introduced. The proposed model was solved and linearized using the column-and-constraint generation process that divides the framework into a master problem and a subproblem.…”

Section: B Literature Reviewmentioning

confidence: 99%

An Optimal Energy Hub Management Integrated EVs and RES Based on Three-Stage Model Considering Various Uncertainties

et al. 2022

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In order to make significant progress in the operation of power systems and minimizing cost and air pollution, multi-carrier energy systems have been proposed by implementing various solutions and using different sources. In this regard, renewable energy sources, fuel cells, and electric vehicles (EVs) as a mobile storage system are applied, but these units due to uncertain behavior create a big problem in balancing between the demand and generated energy. In this study, an energy hub (EH) system includes a wind turbine (WT), photovoltaic (PV), and EVs that are exchanged energy with energy and reserve market considering energy, thermal, and gas demand response program is proposed. Also, the uncertainty of WT, PV, load, and electricity market price are considered. Besides that, all parameters of the EVs with uncertainty behavior are modeled using a new method. This method is employed a stochastic optimization approach to simplify the uncertainty modeling for increasing the system reliability. Hence, two objective functions, namely economic cost, and environmental cost are considered. In addition, a three-step strategy is introduced to solve the multi-objective problem. Finally, EH management performance is investigated by implementing the proposed method and elements.

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Section: B Literature Reviewmentioning

confidence: 99%

An Optimal Energy Hub Management Integrated EVs and RES Based on Three-Stage Model Considering Various Uncertainties

et al. 2022

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“…Additionally, respecting the characteristics of the uncertain parameters is necessary for selecting the best risk management strategies. For instance, in optimization models based on robust approaches, the robustness level of the uncertain parameter can be adjusted through the budget of uncertainty [25]. Based on the available characteristics of the load on the demand-side, stochastic modeling is more effective as a risk measure [26].…”

Section: Contributions and Paper Organizationmentioning

confidence: 99%

Novel Hybrid Stochastic-Robust Optimal Trading Strategy for a Demand Response Aggregator in the Wholesale Electricity Market

Vahid‐Ghavidel

Javadi

Santos

et al. 2021

IEEE Trans. on Ind. Applicat.

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The close interaction between the electricity market and the end-users can assist the demand response (DR) aggregator in handling and managing various uncertain parameters simultaneously to reduce their effect on the aggregator's operation. As the DR aggregator's main responsibility is to aggregate the obtained DR from individual consumers and trade it into the wholesale market. Another responsibility of the aggregator is proposing the DR programs (DRPs) to the end-users. This article proposes a model to handle these uncertainties through the development of a novel hybrid stochastic-robust optimization approach that incorporates the uncertainties around wholesale market prices and the participation rate of consumers. The behavior of the consumers engaging in DRPs is addressed through stochastic programming. Additionally, the volatility of the electricity market prices is modeled through a robust optimization method. Two DRPs are considered in this model to include both time-based and incentive-based DRPs, i.e., time-of-use and incentive-based DR program to study three sectors of consumers, namely industrial, commercial, and residential consumers. An energy storage system is also assumed to be operated by the aggregator to maximize its profit. The proposed mixed-integer linear hybrid stochastic-robust model improves the evaluation of DR aggregator's scheduling for the probable worst-case scenario.

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“…An adjustable robust optimization model is presented in [22] for the operation of multi-carrier energy MGs. In order to cope with the uncertainties of complex multi-carrier energy systems, an extensive analysis has been performed in [23].…”

Section: Ummentioning

confidence: 99%

Exploitation of Microgrid Flexibility in Distribution System Hosting Prosumers

MansourLakouraj

Sanjari

Javadi

et al. 2021

IEEE Trans. on Ind. Applicat.

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Increasing the penetration of renewables in prosumers' side brings about operational challenges in the distribution grid due to their variable and uncertain behavior. In fact, these resources have increased the distribution grid net load fluctuation during recent years. In this paper, the flexibilityoriented stochastic scheduling of a microgrid is suggested to capture the net load variability at the distribution grid level. In this scheduling, the flexibility limits are set to manage the net load fluctuation at a desirable level for the main grid operator. The uncertainties of load and renewables are considered, and their uncertainties are under control by the risk-averse strategy. Moreover, multi-period islanding constraints are added to the problem, preparing the microgrid for a resilient response to disturbances. The model is examined on a typical distribution feeder consisting of prosumers and a microgrid. The numerical results are compared for both flexibility-oriented and traditional scheduling of a microgrid in the distribution level. The proposed model reduces the net load ramping of the distribution grid using an efficient dispatch of resources in the microgrid. A sensitivity analysis is also carried out to show the effectiveness of the model.

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Adjustable robust optimization approach for two-stage operation of energy hub-based microgrids

Cited by 80 publications

References 23 publications

An Optimal Energy Hub Management Integrated EVs and RES Based on Three-Stage Model Considering Various Uncertainties

An Optimal Energy Hub Management Integrated EVs and RES Based on Three-Stage Model Considering Various Uncertainties

Novel Hybrid Stochastic-Robust Optimal Trading Strategy for a Demand Response Aggregator in the Wholesale Electricity Market

Exploitation of Microgrid Flexibility in Distribution System Hosting Prosumers

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