Abstract
The fuzzy set theory is commonly used in analysis of nonlinear system. There are many approaches to build small fuzzy systems, but as the dimensions of a fuzzy system increase, the fuzzy rules increase exponentially. Thus, when a system has hundreds of variables, the use of classical methods to build a fuzzy model for the large-scale system becomes unpractical. In this paper, we take advantage of the topology of a large-scale power network to build the fuzzy model. Clustering method is used to build the fuzzy model. Newton-Raphson method and cell-to-cell mapping method is used to solve the fuzzy model.
| Original language | American English |
|---|---|
| Journal | Proceedings of the IEEE Power Engineering Society General Meeting (2003, Toronto, Canada) |
| Volume | 2 |
| DOIs | |
| State | Published - Jul 1 2003 |
Keywords
- Cell intersection
- Cell-to-cell mapping
- Defuzzification
- Large power systems
- Newton-Raphson method
- Algorithms
- Electric potential
- Electric power systems
- Functions
- Fuzzy sets
- Mathematical models
- Nonlinear systems
- Parameter estimation
- Problem solving
- Large scale systems
Disciplines
- Electrical and Computer Engineering
Fingerprint
Dive into the research topics of 'Fuzzy Modeling of Large Power Systems'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS