Book chapter
Independent Component Analysis Techniques for Power System Load Estimation: A Signal-Processing Approach
Applied Mathematics for Restructured Electric Power Systems
01 Jan 2005
Abstract
This contribution presents the application of independent component analysis for active, reactive and harmonic load profile estimation. Assuming that the individual bus loads are statistically independent and not Gaussian distributed, independent component analysis uses the higher order statistics of the loads to estimate individual loads from a limited number of voltage, current or power measurements that present linear combinations of the unknown loads. In contrast to traditional load estimation techniques, ICA does not require any knowledge of the power system parameters or the power system topology. Future applications to general state estimation problems are proposed at the end of this chapter.
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Details
- Title
- Independent Component Analysis Techniques for Power System Load Estimation
- Creators
- Dagmar Niebur - Drexel UniversityEkrem Gursoy - Drexel UniversityHuaiwei Liao - Carnegie Mellon University
- Publication Details
- Applied Mathematics for Restructured Electric Power Systems
- Series
- Power Electronics and Power Systems
- Publisher
- Springer US; Boston, MA
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000225529300013
- Other Identifier
- 991019168144804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Energy & Fuels
- Engineering, Electrical & Electronic
- Mathematics, Interdisciplinary Applications