### Abstract

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.

Original language | English (US) |
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Journal | Engineering News-Record |

State | Published - 1800 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Engineering(all)

### Cite this

**STOCHASTIC OPTIMAL ENERGY DISPATCH.** / Viviani, Gary L.; Heydt, Gerald Thomas.

Research output: Contribution to journal › Article

}

TY - JOUR

T1 - STOCHASTIC OPTIMAL ENERGY DISPATCH.

AU - Viviani, Gary L.

AU - Heydt, Gerald Thomas

PY - 1800

Y1 - 1800

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.

UR - http://www.scopus.com/inward/record.url?scp=0346390578&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0346390578&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0346390578

JO - ENR (Engineering News-Record)

JF - ENR (Engineering News-Record)

SN - 0891-9526

ER -