1988
DOI: 10.1109/59.14528
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Equivalent energy function approach to power system probabilistic modeling

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Cited by 61 publications
(18 citation statements)
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“…Conventional algorithms, like Fourier series method [3], semi-invariant method [4], piecewise linear approximation method [5], and equivalent energy function method [6], are all based on ELDC and its transformation. However, ELDC methods omit the chronological information of system, thus these approaches are not suitable for strong time-varying and random system like wind power integrated systems.…”
Section: Introductionmentioning
confidence: 99%
“…Conventional algorithms, like Fourier series method [3], semi-invariant method [4], piecewise linear approximation method [5], and equivalent energy function method [6], are all based on ELDC and its transformation. However, ELDC methods omit the chronological information of system, thus these approaches are not suitable for strong time-varying and random system like wind power integrated systems.…”
Section: Introductionmentioning
confidence: 99%
“…Current literatures on the stochastic production simulation algorithms of power systems mainly include the piecewise linear approximations method [4,5], the slab method [6], the equivalent power function method [7][8][9] and the half-invariant method [10][11][12]. The fundamental idea of all these algorithms is to convert the chronological load curve to a sequential load curve during which process the time information is lost and the time-variant characteristics of wind power and PV power cannot be reflected effectively.…”
Section: Introductionmentioning
confidence: 99%
“…It is a deep description of power system. The main algorithms of probabilistic production simulation based on continuous load curve are sub-linear approximation algorithm [1] , cumulant method [2,3] and equivalent energy function method [4,5] and so on. The references [6,7] proposed a probabilistic production simulation method based on chronological Load Curve.…”
Section: Introductionmentioning
confidence: 99%