2015
DOI: 10.1109/tste.2015.2425354
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Probabilistic-Based Available Transfer Capability Assessment Considering Existing and Future Wind Generation Resources

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Cited by 28 publications
(15 citation statements)
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“…Substitute ∆V into the node voltage constraint in Equation (12) and eliminate the random variable. Equation (12) can be reformulated as Equation (13), where Prob 1 (Q G ) denotes the maximum probability value which satisfies the node voltage constraint under all possible wind power probability distributions:…”
Section: Reformulation Of Distributional Robust Chance Constraintsmentioning
confidence: 99%
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“…Substitute ∆V into the node voltage constraint in Equation (12) and eliminate the random variable. Equation (12) can be reformulated as Equation (13), where Prob 1 (Q G ) denotes the maximum probability value which satisfies the node voltage constraint under all possible wind power probability distributions:…”
Section: Reformulation Of Distributional Robust Chance Constraintsmentioning
confidence: 99%
“…The genetic algorithm [4,5], particle swarm optimization [6], optimal power flow method [7], probability analytical method, stochastic programming method [8], Monte Carlo simulation [9,10], and the enumeration method [11] were adopted for this purpose. For describing the wind power uncertainty, the statistical probability method [12][13][14][15] and scene analysis method [16] are adopted. Both of these methods assume that the probability distribution function of wind speed or wind power is determined.…”
Section: Introductionmentioning
confidence: 99%
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“…Much further research about the grid security assessment which considers IGS is focused on evaluating one aspect of grid security. For example, Pengwei Du et al present a probabilistic‐based approach for available transfer capability assessment by developing a composite algorithm to generate ensembles of future wind generation scenarios for the existing and planned wind sites using both measured and model‐produced wind data . Sun Can provides a maximum WP connection analysis model to assess the WP curtailments subject to different constraints and explore the potential of WP absorption .…”
Section: Introductionmentioning
confidence: 99%