Optimum scheduling of spinning reserve by integration of demand response program

Ashkan Yousefi; Herbert Iu; Tyrone Fernando

doi:10.7158/E11-101.2013.10.2

Optimum scheduling of spinning reserve by integration of demand response program

Ashkan Yousefi, Herbert Iu, Tyrone Fernando

Research output: Contribution to journal › Article › peer-review

Abstract

An approach is proposed for supplying ancillary services in a restructured market environment using a combination of demand response and conventional generators. In this regard, certain number of demands are selected and simulated as virtual generation units. The paper develops, using mixed integer optimisation technique, a probabilistic ancillary service market clearing procedure in which demand responses are optimally coordinated with conventional generators. The IEEE 57-bus test system is used to demonstrate the effectiveness of the proposed method. © Institution of Engineers Australia, 2013.

Original language	English
Pages (from-to)	209-216
Journal	Australian Journal of Electrical and Electronics Engineering
Volume	10
Issue number	2
DOIs	https://doi.org/10.7158/E11-101.2013.10.2
Publication status	Published - 2013

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10.7158/E11-101.2013.10.2

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title = "Optimum scheduling of spinning reserve by integration of demand response program",

abstract = "An approach is proposed for supplying ancillary services in a restructured market environment using a combination of demand response and conventional generators. In this regard, certain number of demands are selected and simulated as virtual generation units. The paper develops, using mixed integer optimisation technique, a probabilistic ancillary service market clearing procedure in which demand responses are optimally coordinated with conventional generators. The IEEE 57-bus test system is used to demonstrate the effectiveness of the proposed method. {\textcopyright} Institution of Engineers Australia, 2013.",

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AB - An approach is proposed for supplying ancillary services in a restructured market environment using a combination of demand response and conventional generators. In this regard, certain number of demands are selected and simulated as virtual generation units. The paper develops, using mixed integer optimisation technique, a probabilistic ancillary service market clearing procedure in which demand responses are optimally coordinated with conventional generators. The IEEE 57-bus test system is used to demonstrate the effectiveness of the proposed method. © Institution of Engineers Australia, 2013.

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DO - 10.7158/E11-101.2013.10.2

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JO - Australian Journal of Electrical and Electronics Engineering

JF - Australian Journal of Electrical and Electronics Engineering

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Optimum scheduling of spinning reserve by integration of demand response program

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