A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty

The integration of large-scale wind power adds a significant uncertainty to power system planning and operating. The wind forecast error is decreased with the forecast horizon, particularly when it is from one day to several hours ahead. Integrating intraday unit commitment (UC) adjustment process b...

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Main Authors: Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/583157
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author Na Zhang
Weidong Li
Rao Liu
Quan Lv
Liang Sun
author_facet Na Zhang
Weidong Li
Rao Liu
Quan Lv
Liang Sun
author_sort Na Zhang
collection DOAJ
description The integration of large-scale wind power adds a significant uncertainty to power system planning and operating. The wind forecast error is decreased with the forecast horizon, particularly when it is from one day to several hours ahead. Integrating intraday unit commitment (UC) adjustment process based on updated ultra-short term wind forecast information is one way to improve the dispatching results. A novel three-stage UC decision method, in which the day-ahead UC decisions are determined in the first stage, the intraday UC adjustment decisions of subfast start units are determined in the second stage, and the UC decisions of fast-start units and dispatching decisions are determined in the third stage is presented. Accordingly, a three-stage birandom UC model is presented, in which the intraday hours-ahead forecasted wind power is formulated as a birandom variable, and the intraday UC adjustment event is formulated as a birandom event. The equilibrium chance constraint is employed to ensure the reliability requirement. A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. Some computational results indicate that the proposed model provides UC decisions with lower expected total costs.
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id doaj-art-ed3eff0509664cfa9685ea887f5cb034
institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
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series The Scientific World Journal
spelling doaj-art-ed3eff0509664cfa9685ea887f5cb0342025-02-03T05:51:20ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/583157583157A Three-Stage Birandom Program for Unit Commitment with Wind Power UncertaintyNa Zhang0Weidong Li1Rao Liu2Quan Lv3Liang Sun4School of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaState Grid Shenyang Electric Power Supply Company, Shenyang 110021, ChinaThe integration of large-scale wind power adds a significant uncertainty to power system planning and operating. The wind forecast error is decreased with the forecast horizon, particularly when it is from one day to several hours ahead. Integrating intraday unit commitment (UC) adjustment process based on updated ultra-short term wind forecast information is one way to improve the dispatching results. A novel three-stage UC decision method, in which the day-ahead UC decisions are determined in the first stage, the intraday UC adjustment decisions of subfast start units are determined in the second stage, and the UC decisions of fast-start units and dispatching decisions are determined in the third stage is presented. Accordingly, a three-stage birandom UC model is presented, in which the intraday hours-ahead forecasted wind power is formulated as a birandom variable, and the intraday UC adjustment event is formulated as a birandom event. The equilibrium chance constraint is employed to ensure the reliability requirement. A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. Some computational results indicate that the proposed model provides UC decisions with lower expected total costs.http://dx.doi.org/10.1155/2014/583157
spellingShingle Na Zhang
Weidong Li
Rao Liu
Quan Lv
Liang Sun
A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
The Scientific World Journal
title A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
title_full A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
title_fullStr A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
title_full_unstemmed A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
title_short A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty
title_sort three stage birandom program for unit commitment with wind power uncertainty
url http://dx.doi.org/10.1155/2014/583157
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