TY - JOUR

T1 - STOCHASTIC OPTIMAL ENERGY DISPATCH.

AU - Viviani, Gary L.

AU - Heydt, Gerald Thomas

N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

PY - 1981

Y1 - 1981

N2 - An algorithm is presented which is useful for incorporating the effects of uncertain system parameters into optimal power dispatch. This method employs the multivariate Gram-Charlier series as means of modeling the probability density function (p. d. f. ) which characterizes the uncertain parameters. The proposed method is a direct extension of existing techniques: therefore, minimal additional computation effort is necessary. Potential applications include the calculation of probabilistic parameters (e. g. , probability, expectation) relating to power dispatch. An example of such a parameter is the probability of a bus voltage out of range during optimal dispatch. A practical example is given to demonstrate the usefulness of the method.

AB - An algorithm is presented which is useful for incorporating the effects of uncertain system parameters into optimal power dispatch. This method employs the multivariate Gram-Charlier series as means of modeling the probability density function (p. d. f. ) which characterizes the uncertain parameters. The proposed method is a direct extension of existing techniques: therefore, minimal additional computation effort is necessary. Potential applications include the calculation of probabilistic parameters (e. g. , probability, expectation) relating to power dispatch. An example of such a parameter is the probability of a bus voltage out of range during optimal dispatch. A practical example is given to demonstrate the usefulness of the method.

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M3 - Conference article

AN - SCOPUS:85095898510

JO - Engineering News-Record

JF - Engineering News-Record

SN - 0891-9526

T2 - IEEE Power Eng Soc Winter Meet, Conf Pap

Y2 - 1 February 1981 through 6 February 1981

ER -