Flexible power system reinforcement planning under uncertainty

Author

Saraiva, J. Tomé ; Miranda, Vladimiro

Author_Institution

Inst. de Engenharia de Sistemas e Computadores, INESC, Porto, Portugal

fYear

1994

fDate

12-14 Apr 1994

Firstpage

913

Abstract

In this paper a model to derive reinforcement strategies driven by an economic criterium is presented. This model is based on a fuzzy optimal power flow formulation which assumes that loads are characterized by membership functions in the scope of the fuzzy set theory. Therefore subjective information or incompletely defined data can be included in the planning studies making it possible to characterize in a more adequate way the system behavior regarding the uncertainties of the future. Some risk concepts are also presented and integrated in this planning framework. The planner can identify the least costly reinforcement strategy in order to meet the desired risk index target so that a reduction of the system exposure towards the future is obtained

Keywords

economics; fuzzy set theory; load flow; power system planning; uncertain systems; economic criterium; fuzzy optimal power flow; fuzzy set theory; incompletely defined data; membership functions; power system reinforcement planning; subjective information; uncertainty; Approximation algorithms; Costs; Equations; Load flow; Performance analysis; Power generation; Power supplies; Power system modeling; Power system planning; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean

Conference_Location

Antalya

Print_ISBN

0-7803-1772-6

Type

conf

DOI

10.1109/MELCON.1994.380953

Filename

380953