2022
DOI: 10.1016/j.apenergy.2021.117851
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Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties

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Cited by 22 publications
(9 citation statements)
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References 40 publications
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“…Additionally, [133] discusses the impact of OTS on a hybrid wind/PV generation, where the AC-OPF model is solved using a combination of a genetic algorithm and a non-linear primal-dual interior point algorithm. Lastly, [134] proposes a stochastic OTS model that considers the uncertainty associated with both wind and PV to minimize grid vulnerability and reduce generation cost. Table 3 summarizes the articles utilizing OTS for improved wind power integration.…”
Section: Ots and Res Integrationmentioning
confidence: 99%
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“…Additionally, [133] discusses the impact of OTS on a hybrid wind/PV generation, where the AC-OPF model is solved using a combination of a genetic algorithm and a non-linear primal-dual interior point algorithm. Lastly, [134] proposes a stochastic OTS model that considers the uncertainty associated with both wind and PV to minimize grid vulnerability and reduce generation cost. Table 3 summarizes the articles utilizing OTS for improved wind power integration.…”
Section: Ots and Res Integrationmentioning
confidence: 99%
“…The coordinated impact of OTS and DTR are incorporated into power system reliability assessment in [186], where it shown showed that the combination of these two smart grid technologies can improve system reliability, especially for network which have low transmission capacities. To tackle the uncertainties associated with wind/solar and load, [134] proposes a stochastic OTS model to minimize the grid vulnerability. A scenario-reduction technique is adapted which helps reduce the computational complexity of the model.…”
Section: Figure 14 Flowchart For Reliability Evaluation Of Otsmentioning
confidence: 99%
“…To verify the effectiveness of the proposed scheme, system voltage, THD, and line loss before/after DG integration are compared below. Since 95% quantile is used as the limit of the system index in engineering 55 and the average value is used to represent the location where the observations are relatively concentrated, 56 the 95% quantile and the average value of each statistic are selected to describe the computational results in this paper. Figure 9 plots the expectation and 95% quantile of system voltage before/after single DG integration.…”
Section: Case Studymentioning
confidence: 99%
“…In this path, as the public determination to make maximum use of clean energy sources for energy production is strong, the new plans for developing energy grids include a high level of RERs in the power production sector [46]. Although such plans alleviate the economic and environmental concerns in the energy generation process, they still suffer from the critical challenges for optimal operation of the system due to the intermittences in RERs outputs [47]. The uncontrollable changes in renewables' outputs hinder the secure and reliable operation of the system especially in the cases where the grid is scheduled for supplying a high portion of energy from clean power units [48].…”
Section: Te Applications In the Operation Of Smart Energy Gridsmentioning
confidence: 99%