Generation/transmission power system reliability evaluation by Monte-Carlo simulation assuming a fuzzy load description

• Type: Article in International Scientific Journal
• Date: 1996

Authors

Vladimiro Henrique Barrosa Pinto de Miranda (Author) FEUP; João Paulo Tomé Saraiva (Author) FEUP; Leontina Pinto (Author) Other

Journal

Title: IEEE Transactions on Power Systems

Vol. 11 No. 2

Pages: 690-695

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 29 Citations

ISI Web of Science

Scopus - 46 Citations

INSPEC

Scientific classification

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

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-001-EBB

DOI: 10.1109/59.496140

Abstract (EN): This paper presents a Monte-Carlo algorithm considering loads defined by fuzzy numbers. In this methodology states are sampled according to the probabilistic models governing the life cycle of system components while fuzzy concepts are used to model uncertainty related to future load behavior. This model can be used to evaluate generation/transmission power system reliability for long term planning studies as one uses the more adequate uncertainty models for each type of data. For each sampled state a Fuzzy Optimal Power Flow is run so that one builds its power not supplied membership function. The paper proposes new indices reflecting the integration of probabilistic models and fuzzy concepts and discusses the application of variance reduction techniques if loads are defined by fuzzy numbers. A case-study based on the IEEE 30 bus system illustrates this methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6