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   Articles with "robust chance" as a keyword



Data-Driven Robust Chance Constrained Problems: A Mixture Model Approach

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recommendations! Published in 2018 at "Journal of Optimization Theory and Applications"

DOI: 10.1007/s10957-018-1376-4

Abstract: This paper discusses the mixture distribution-based data-driven robust chance constrained problem. We construct a data-driven mixture distribution-based uncertainty set from the perspective of simultaneously estimating higher-order moments. Then, we derive a reformulation of the data-driven… read more here.

Keywords: constrained problems; chance constrained; data driven; driven robust ... See more keywords

A Wasserstein distributionally robust chance constrained programming approach for emergency medical system planning problem

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recommendations! Published in 2022 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2022.2040641

Abstract: This paper proposes a distributionally robust chance constrained programming model for an emergency medical system location problem with uncertain demands. By minimising the total expected cost, the location of emergency medical stations, the allocation of… read more here.

Keywords: constrained programming; distributionally robust; chance constrained; robust chance ... See more keywords

Scheduling of Energy Hub Resources Using Robust Chance-Constrained Optimization

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3228388

Abstract: This paper develops a robust chance-constrained model for handling the uncertainties of generation and consumption in multi-carrier energy hubs. The proposed model incorporates corresponding loading factors for each type of electrical, heating, and cooling loads.… read more here.

Keywords: energy hub; chance constrained; robust chance; model ... See more keywords

A Linear Programming Approximation of Distributionally Robust Chance-Constrained Dispatch With Wasserstein Distance

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recommendations! Published in 2020 at "IEEE Transactions on Power Systems"

DOI: 10.1109/tpwrs.2020.2978934

Abstract: This paper proposes a data-driven distributionally robust chance constrained real-time dispatch (DRCC-RTD) considering renewable generation forecasting errors. The proposed DRCC-RTD model minimizes the expected quadratic cost function and guarantees that the two-sided chance constraints are… read more here.

Keywords: wasserstein distance; linear programming; chance; distributionally robust ... See more keywords

Distributionally Robust Chance-Constrained Tractable Approximate Formulation of Microgrids With Mobile Energy Storage

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recommendations! Published in 2024 at "IEEE Transactions on Transportation Electrification"

DOI: 10.1109/tte.2023.3338365

Abstract: Mobile energy storage (MES) systems have demonstrated significant potential in enhancing the reliability and efficiency of microgrid (MG) operations with uncertain routing costs and loads. This article presents a scheduling decision-making formulation that couples MES… read more here.

Keywords: formulation; energy storage; robust chance; mobile energy ... See more keywords

Distributionally robust chance-constrained operation of distribution grids considering voltage constraints

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recommendations! Published in 2024 at "Frontiers in Energy Research"

DOI: 10.3389/fenrg.2024.1440192

Abstract: The distribution grid experiences node voltage fluctuations due to the growing uncertainty of large-scale renewable energy sources A practical solution is establishing a chance-constrained optimal model to deal with the uncertainties. However, using this method… read more here.

Keywords: considering voltage; distribution; robust chance; distributionally robust ... See more keywords

Flexibility-Oriented AC/DC Hybrid Grid Optimization Using Distributionally Robust Chance-Constrained Method

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recommendations! Published in 2024 at "Energies"

DOI: 10.3390/en17194902

Abstract: With the increasing integration of stochastic sources and loads, ensuring the flexibility of AC/DC hybrid distribution networks has become a pressing challenge. This paper aims to enhance the operational flexibility of AC/DC hybrid distribution networks… read more here.

Keywords: using distributionally; robust chance; flexibility; distributionally robust ... See more keywords