Effect of time resolution on unit commitment decisions in systems with high wind penetration

Hrvoje Pandzzic; Yury Dvorkin; Yishen Wang; Ting Qiu; Daniel S. Kirschen

doi:10.1109/PESGM.2014.6939548

Effect of time resolution on unit commitment decisions in systems with high wind penetration

Hrvoje Pandzzic, Yury Dvorkin, Yishen Wang, Ting Qiu, Daniel S. Kirschen

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

The increasing share of wind power in power systems requires changes in the operating procedures. Day-ahead scheduling no longer has to fit only with slow and easily predictable changes in load, but also with more abrupt changes in wind power. Procedures for dealing with wind uncertainty, such as stochastic, robust, and interval unit commitment algorithms, typically assume a one-hour resolution. Since wind generation can change significantly within an hour, shorter optimization intervals might be required to adequately reflect this uncertainty. This paper compares the stochastic, interval and robust unit commitment formulations with resolutions of 1 hour and 15 minutes. The schedules produced by these various algorithms are compared using a Monte Carlo simulation procedure on a modified version of the 24-bus IEEE-RTS.

Original language	English (US)
Article number	6939548
Journal	IEEE Power and Energy Society General Meeting
Volume	2014-October
Issue number	October
DOIs	https://doi.org/10.1109/PESGM.2014.6939548
State	Published - Oct 29 2014
Event	2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: Jul 27 2014 → Jul 31 2014

Keywords

Unit commitment
interval optimization
robust optimization
stochastic optimization
wind uncertainty

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

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abstract = "The increasing share of wind power in power systems requires changes in the operating procedures. Day-ahead scheduling no longer has to fit only with slow and easily predictable changes in load, but also with more abrupt changes in wind power. Procedures for dealing with wind uncertainty, such as stochastic, robust, and interval unit commitment algorithms, typically assume a one-hour resolution. Since wind generation can change significantly within an hour, shorter optimization intervals might be required to adequately reflect this uncertainty. This paper compares the stochastic, interval and robust unit commitment formulations with resolutions of 1 hour and 15 minutes. The schedules produced by these various algorithms are compared using a Monte Carlo simulation procedure on a modified version of the 24-bus IEEE-RTS.",

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AU - Pandzzic, Hrvoje

AU - Dvorkin, Yury

AU - Wang, Yishen

AU - Qiu, Ting

AU - Kirschen, Daniel S.

PY - 2014/10/29

Y1 - 2014/10/29

N2 - The increasing share of wind power in power systems requires changes in the operating procedures. Day-ahead scheduling no longer has to fit only with slow and easily predictable changes in load, but also with more abrupt changes in wind power. Procedures for dealing with wind uncertainty, such as stochastic, robust, and interval unit commitment algorithms, typically assume a one-hour resolution. Since wind generation can change significantly within an hour, shorter optimization intervals might be required to adequately reflect this uncertainty. This paper compares the stochastic, interval and robust unit commitment formulations with resolutions of 1 hour and 15 minutes. The schedules produced by these various algorithms are compared using a Monte Carlo simulation procedure on a modified version of the 24-bus IEEE-RTS.

AB - The increasing share of wind power in power systems requires changes in the operating procedures. Day-ahead scheduling no longer has to fit only with slow and easily predictable changes in load, but also with more abrupt changes in wind power. Procedures for dealing with wind uncertainty, such as stochastic, robust, and interval unit commitment algorithms, typically assume a one-hour resolution. Since wind generation can change significantly within an hour, shorter optimization intervals might be required to adequately reflect this uncertainty. This paper compares the stochastic, interval and robust unit commitment formulations with resolutions of 1 hour and 15 minutes. The schedules produced by these various algorithms are compared using a Monte Carlo simulation procedure on a modified version of the 24-bus IEEE-RTS.

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KW - interval optimization

KW - robust optimization

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Effect of time resolution on unit commitment decisions in systems with high wind penetration

Abstract

Keywords

ASJC Scopus subject areas

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