A Versatile Probability Distribution Model for Wind Power Forecast Errors and Its Application in Economic Dispatch

By Zhao-sui Zhang, Yuanzhan Sun, D. Gao, Jin Lin, Lin Cheng. IEEE Transactions on Power Systems, 2013

231 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/92a6946d874905c83df814628d4a6b70b80462df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Feng Liu
2. Yonghua Song
3. Chen Shen
4. Zhenke Wang
5. Zechun Hu
6. Mingjian Cui
7. Jie Zhang
8. Cong Feng

In Safety, Risk, Reliability and Quality

1. Feng Liu
2. Zhenke Wang
3. Zechun Hu
4. Mingjian Cui
5. Jie Zhang
6. Cong Feng
7. Chen-Ching Liu

Citations in the corpus

• Chance-Constrained Economic Dispatch With Non-Gaussian Correlated Wind Power Uncertainty (2017, methodology): “It only needs to be updated once a day or even longer [16], thus it does not reduce the computing efficiency in the solution of the CCED.”
• Statistical Representation of Wind Power Ramps Using a Generalized Gaussian Mixture Model (2018, methodology): “Taking Reference [30] as an example, the probabilistic constraints of the regulation reserve are expressed by the chance-constrained formulas, given by: Pr ⎧ ⎨ ⎩ N I∑ i=1 ri ≥ N W∑ j=1 (wj − wav,j ) ⎫ ⎬ ⎭ ≥ c (30) where ri represents the available amount of regulation reserve provided by conventiona”
• Rolling Optimization of Wind Farm and Energy Storage System in Electricity Markets (2015, methodology): “A versatile probability model of wind power forecast errors was put forward in [17], which can be easily applied in the chance constrained optimization.”