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

• Type: Article in International Conference Proceedings Book
• Date: 1995

Authors

João Tomé Saraiva (Author) FEUP; Vladimiro Miranda (Author) FEUP; PINTO, LMVG (Author) Other

Conference proceedings International

Title: 1995 IEEE POWER INDUSTRY COMPUTER APPLICATION CONFERENCE, CONFERENCE PROCEEDINGS

Pages: 554-559

1995 IEEE Power Industry Computer Application Conference (PICA 95)

SALT LAKE CITY, UT, MAY 07-12, 1995

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 12 Citations

Other information

Authenticus ID: P-001-J46

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