Joined Probabilistic Load Flow and Sensitivity Analysis of Distribution Networks Based on Polynomial Chaos Method
Due to the statistical uncertainty of loads and power sources found in smart grids, effective computational tools for probabilistic load flow analysis and planning are now becoming indispensable. In this paper, we describe a unified simulation framework that allows quantifying the probability distri...
Main Authors: | Gruosso, Giambattista (Author), Netto, Roberto S. (Author), Daniel, Luca (Author), Maffezzoni, Paolo (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-06-15T20:12:30Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Piece-Wise Linear (PWL) Probabilistic Analysis of Power Grid with High Penetration PV Integration
by: Gruosso, Giambattista, et al.
Published: (2022) -
Complex-Array-Operation Newton Solver for Power Grids Simulations
by: Paolo Maffezzoni, et al.
Published: (2020-01-01) -
Uncertainty-Aware Computational Tools for Power Distribution Networks Including Electrical Vehicle Charging and Load Profiles
by: Giambattista Gruosso, et al.
Published: (2019-01-01) -
Gaussian Copula Methodology to Model Photovoltaic Generation Uncertainty Correlation in Power Distribution Networks
by: Harshavardhan Palahalli, et al.
Published: (2021-04-01) -
Piece-Wise Linear (PWL) Probabilistic Analysis of Power Grid with High Penetration PV Integration
by: Daniel, L., et al.
Published: (2022)