2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2016
DOI: 10.1109/appeec.2016.7779812
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Probabilistic load flow calculation in distribution system considering the stochastic characteristic of wind power and electric vehicle charging load

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Cited by 12 publications
(3 citation statements)
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“…Flexible demand-side resources, such as electric vehicles (EVs), may be used to alleviate supply-demand imbalances [37,38]. The authors of [39] propose a smart charging scheme that provides incentives for the EV owners to charge their batteries during periods of low electricity demand and supply stored energy to the grid during periods of high demand.…”
Section: Challenges In Electricity Markets and Their Proposed Solutionsmentioning
confidence: 99%
“…Flexible demand-side resources, such as electric vehicles (EVs), may be used to alleviate supply-demand imbalances [37,38]. The authors of [39] propose a smart charging scheme that provides incentives for the EV owners to charge their batteries during periods of low electricity demand and supply stored energy to the grid during periods of high demand.…”
Section: Challenges In Electricity Markets and Their Proposed Solutionsmentioning
confidence: 99%
“…The cost of battery degradation and the impact of frequency regulation besides peak load shaving on battery degradation were investigated in the mentioned reference. Electric vehicles were discussed as a problem-solving technique to overcome the imbalance between energy supply and demand in power networks considering the high penetration of renewable energies as underlined in [27]. According to the uncertain variables of renewable energies like wind generation or solar production or charging demand of electric cars, the probability distribution functions of the load are employed [28].…”
Section: Using Flexible Demand Side Resourcesmentioning
confidence: 99%
“…The existence of correlations between input variables makes it impractical to directly employ this method for probabilistic load flow, necessitating the transformation of correlated outputs into independent ones. Presently, two widely used methods for achieving this are the Orthogonal inverse transform [17] and the Nataf inverse transform [18]. The Orthogonal inverse transform is straightforward and widely applied, while the Nataf inverse transform uses the correlation coefficient matrix, taking into account changes in equivalent correlation coefficients before and after transformation.…”
Section: Introductionmentioning
confidence: 99%