Simplified Cross-Entropy Based Approach for Generating Capacity Reliability Assessment

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Leonel Carvalho (Author) FEUP; Reinaldo A. González-Fernández (Author) Other; Armando M. Leite da Silva (Author) FEUP; Mauro Rosa (Author) FEUP; Vladimiro Miranda (Author) FEUP

Journal

Title: IEEE Transactions on Power Systems

Vol. 28 No. 3

Pages: 1609-1616

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 21 Citations

ISI Web of Science

Scopus - 24 Citations

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-006-B8B

DOI: 10.1109/tpwrs.2012.2213618

Abstract (EN): This paper presents a new algorithm to estimate the optimal importance sampling (IS) probability distribution in generating capacity reliability (GCR) problems. The proposed approach results from a combination of the cross-entropy (CE) concepts with the standard analytical GCR assessment. A mathematical analysis of the CE equations is carried out to demonstrate that the optimal change of measure or distortion can be obtained by simply dividing the annualized GCR indices for two different configurations of the generating system. Under these hypotheses, a straightforward algorithm based on fast Fourier transform is proposed to systematically obtain the optimal distorted unavailabilities for all generating units in the system. The accuracy and computational performance of the proposed approach are compared with the standard CE optimization process using different generating systems. The IEEE-RTS 79, IEEE-RTS 96, and two configurations of the Brazilian South-Southeastern system are all used for this purpose.

Language: English

Type (Professor's evaluation): Scientific

Notes: On line 2012

No. of pages: 8