DOI: 10.31274/rtd-180813-15853
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Coordinated static and dynamic reactive power planning against power system voltage stability related problems

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Cited by 3 publications
(2 citation statements)
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“…The information required for the optimization algorithm are reactive device cost and maximum capacity limit at various voltage levels, performance measures and their sensitivities with respect to MSCs and SVCs under each critical contingencies, and an initial set of candidate locations for MSCs and SVCs. While many methodologies in the past determine static and dynamic VAR support sequentially, this method simultaneously determines the optimal allocation of static and dynamic VAR [31].…”
Section: Formulation Of Coordinated Control Planning Algorithmmentioning
confidence: 99%
“…The information required for the optimization algorithm are reactive device cost and maximum capacity limit at various voltage levels, performance measures and their sensitivities with respect to MSCs and SVCs under each critical contingencies, and an initial set of candidate locations for MSCs and SVCs. While many methodologies in the past determine static and dynamic VAR support sequentially, this method simultaneously determines the optimal allocation of static and dynamic VAR [31].…”
Section: Formulation Of Coordinated Control Planning Algorithmmentioning
confidence: 99%
“…This will ensure sampling the required high information content training data for decision tree rule formation applicable to multiple contingencies. Therefore, it is important to perform thorough contingency analysis of many contingencies, screen the most important ones that may violate reliability criteria and devise effective solution strategies [84]. [58,59,85].…”
Section: Sampling Strategies Comparisonmentioning
confidence: 99%