Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach

This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind availability and system load, which are represented by two dependent random variables in the optimization problem. A two-stage stochastic model and sequ...

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Published inIEEE transactions on power systems Vol. 28; no. 3; pp. 2395 - 2402
Main Authors Heejung Park, Baldick, Ross
Format Journal Article
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Approximation methods
Generators
Planning
Random variables
Sequential approximation
stochastic optimization
Stochastic processes
transmission expansion planning
Uncertainty
wind power
Wind power generation
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Abstract This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind availability and system load, which are represented by two dependent random variables in the optimization problem. A two-stage stochastic model and sequential approximation approach are applied to solve our total cost minimization problem, which involves a sequence of stochastic optimization problems repeatedly solved with an updated approximation of random parameters until the rate of increment of optimal cost becomes smaller than a positive target value. A wind energy integration goal is achieved by penalizing wind curtailment. As a case study, the Electric Reliability Council of Texas (ERCOT) wind and load data, and a simplified model of its transmission system, is employed.
AbstractList This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind availability and system load, which are represented by two dependent random variables in the optimization problem. A two-stage stochastic model and sequential approximation approach are applied to solve our total cost minimization problem, which involves a sequence of stochastic optimization problems repeatedly solved with an updated approximation of random parameters until the rate of increment of optimal cost becomes smaller than a positive target value. A wind energy integration goal is achieved by penalizing wind curtailment. As a case study, the Electric Reliability Council of Texas (ERCOT) wind and load data, and a simplified model of its transmission system, is employed.
Author Baldick, Ross
Heejung Park
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  organization: Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
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Snippet This paper introduces a transmission planning model for a system integrating a large amount of remote wind power. We consider uncertainties of wind...
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SubjectTerms Approximation methods
Generators
Planning
Random variables
Sequential approximation
stochastic optimization
Stochastic processes
transmission expansion planning
Uncertainty
wind power
Wind power generation
Title Transmission Planning Under Uncertainties of Wind and Load: Sequential Approximation Approach
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