Optimal transmission switching - Sensitivity analysis and extensions

Kory W. Hedman; Richard P. O'Neill; Emily Bartholomew Fisher; Shmuel S. Oren

doi:10.1109/TPWRS.2008.926411

Optimal transmission switching - Sensitivity analysis and extensions

Kory W. Hedman, Richard P. O'Neill, Emily Bartholomew Fisher, Shmuel S. Oren

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

190 Scopus citations

Abstract

In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.

Original language	English (US)
Pages (from-to)	1469-1479
Number of pages	11
Journal	IEEE Transactions on Power Systems
Volume	23
Issue number	3
DOIs	https://doi.org/10.1109/TPWRS.2008.926411
State	Published - 2008
Externally published	Yes

Keywords

Mixed integer programming
Power generation dispatch
Power system economics
Power transmission control
Power transmission economics

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TPWRS.2008.926411

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title = "Optimal transmission switching - Sensitivity analysis and extensions",

abstract = "In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.",

keywords = "Mixed integer programming, Power generation dispatch, Power system economics, Power transmission control, Power transmission economics",

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AU - Hedman, Kory W.

AU - O'Neill, Richard P.

AU - Fisher, Emily Bartholomew

AU - Oren, Shmuel S.

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Y1 - 2008

N2 - In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.

AB - In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.

KW - Mixed integer programming

KW - Power generation dispatch

KW - Power system economics

KW - Power transmission control

KW - Power transmission economics

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JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

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Optimal transmission switching - Sensitivity analysis and extensions

Abstract

Keywords

ASJC Scopus subject areas

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