2012
DOI: 10.1109/tpwrs.2011.2180933
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Possibilistic-Scenario Model for DG Impact Assessment on Distribution Networks in an Uncertain Environment

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Cited by 159 publications
(88 citation statements)
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“…These techniques include stochastic scenario modeling (Fig.1a ) [8], fuzzy modeling (Fig.1b ) [27] and robust optimization (Fig.1c) [28]. Using each technique requires certain information regarding the uncertain parameter.…”
Section: A Uncertainty Modelingmentioning
confidence: 99%
“…These techniques include stochastic scenario modeling (Fig.1a ) [8], fuzzy modeling (Fig.1b ) [27] and robust optimization (Fig.1c) [28]. Using each technique requires certain information regarding the uncertain parameter.…”
Section: A Uncertainty Modelingmentioning
confidence: 99%
“…Broadly speaking, when dealing with an uncertain parameter, there are three methods that look to characterize the uncertainty and perform deterministic analysis. These methods are probabilistic methods, possibilistic methods and a hybrid method; a combination of probabilistic and possibilistic [15], [16]. A drawback of these methods is their ability to perform with severe uncertainty.…”
Section: Information Gap Decision Theory Based Congestion and Voltagementioning
confidence: 99%
“…-Scenario based modeling [7], [8] • Fuzzy approach [9] • Robust optimization [10] Each technique has its own "pros and cons". For example, stochastic techniques require knowledge of the probability density function of uncertain parameter.…”
Section: B Literature Reviewmentioning
confidence: 99%