Calculation of nodal marginal prices considering load and generation price uncertainties

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Bruno André Gomes (Author) FEUP; João Tomé Saraiva (Author) FEUP

Conference proceedings International

Title: 2007 IEEE LAUSANNE POWERTECH, VOLS 1-5

Pages: 849-854

IEEE Lausanne Powertech

Lausanne, SWITZERLAND, JUL 01-05, 2007

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-004-FE3

DOI: 10.1109/pct.2007.4538426

Abstract (EN): This paper presents the mathematical models and the solution algorithms of DC optimal power flow problems: considering uncertainties represented by fuzzy numbers affecting loads as well as the elements of the cost function. The main purpose of this work corresponds to transfer the uncertainties affecting both the loads and the cost vector to the results that one usually obtain with such a DC optimal power flow model, that is, to characterize the uncertainties that affect the generations, the voltage phases, the branch flows. Apart from that, this paper also describes the algorithm to be used to calculate the uncertainties affecting the nodal marginal prices, since these prices are related with the dual variables of several constraints in the optimization problem. The developed algorithms are based in the solution of multiparametric problems in which one considers parameters both in the right hand side vector of the constraints (in order to represent load uncertainties) and in the cost function (to consider uncertainties in fuel costs, for instance). Finally, the paper includes a results of a Case Study designed to illustrate the application of the developed algorithms as well as results obtained for the IEEE 24 bus test system.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6