Demand and generation cost uncertainty modelling in power system optimization studies

• Type: Article in International Scientific Journal
• Date: 2009

Authors

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

Journal

Title: Electric Power Systems Research

Vol. 79 No. 6

Pages: 1000-1009

ISSN: 0378-7796

Publisher: Elsevier

Indexing

ISI Proceedings

ISI Web of Knowledge - 4 Citations

ISI Web of Science

Scopus - 9 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-003-JEQ

DOI: 10.1016/j.epsr.2008.12.010

Abstract (EN): This paper describes the formulations and the solution algorithms developed to include uncertainties in the generation cost function and in the demand on DC ¿ OPF studies. The uncertainties are modelled by trapezoidal fuzzy numbers and the solution algorithms are based on multiparametric linear programming techniques. These models are a development of an initial formulation detailed in several publications co-authored by the second author of this paper. Now, we developed a more complete model and a more accurate solution algorithm in the sense that it is now possible to capture the widest possible range of values of the output variables reflecting both demand and generation cost uncertainties. On the other hand, when modelling simultaneously demand and generation cost uncertainties, we are representing in a more realistic way the volatility that is currently inherent to power systems. Finally, the paper includes a case study to illustrate the application of these models based on the IEEE 24 bus test system.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10