Available transfer capability (ATC) evaluation by stochastic programming

Author

Ying Xiao ; Song, Yong

Author_Institution

Inst. of Power Syst., Brunel Univ., Uxbridge

Volume

20

Issue

9

fYear

2000

fDate

9/1/2000 12:00:00 AM

Firstpage

50

Lastpage

52

Abstract

Based on stochastic programming, from the viewpoint of operational planning, a novel methodology is proposed to evaluate the available transfer capability (ATC) of prescribed interfaces in interconnected power networks. Recognizing the uncertainties of power systems, an effective stochastic model of ATC evaluation is formulated, in which the availability of generators and circuits as well as load forecast error are considered as random variables. A hybrid method that takes advantage of both two-stage stochastic programming with recourse (SPR) and chance constrained programming (CCP) is proposed to deal with this complex problem, which includes both discrete and continuous variables. Case studies with a reduced practical system are presented. The performance clearly illustrates the effectiveness of the proposed methodology

Keywords

load flow; power system interconnection; stochastic programming; available transfer capability evaluation; case studies; chance constrained programming; continuous variables; discrete variables; interconnected power networks; operational planning; power systems; stochastic programming; two-stage stochastic programming with recourse; uncertainties; Hybrid power systems; Integrated circuit interconnections; Power generation; Power system interconnection; Power system modeling; Power system planning; Predictive models; Stochastic processes; Stochastic systems; Uncertainty;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/39.866873

Filename

866873