Compact trees: a new approach to model uncertainty for the management of power systems

2004 ◽  
Author(s):  
V. Grellier ◽  
A. Renaud ◽  
P. Tsamasphyrou
Keyword(s):  
Power Systems ◽  
Model Uncertainty ◽  
New Approach

Source diagram: A new approach for hybrid power systems design

2021 ◽  
Vol 47 ◽  
pp. 101429
Author(s):  
Ana Carolina de Lira Quaresma ◽  
Flávio S. Francisco ◽  
Fernando L.P. Pessoa ◽  
Eduardo M. Queiroz
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Hybrid Power Systems ◽  
New Approach ◽  
Hybrid Power

A new approach to fault section estimation in power systems using Ant system

1999 ◽  
Vol 49 (1) ◽  
pp. 63-70 ◽  
Author(s):  
C.S. Chang ◽  
L. Tian ◽  
F.S. Wen
Keyword(s):  
Power Systems ◽  
Ant System ◽  
New Approach

A New Short-Term Load Forecasting in Power Systems

2014 ◽  
Vol 494-495 ◽  
pp. 1631-1635
Author(s):  
Hui Li ◽  
Hong Bin Sun
Keyword(s):  
Time Series ◽  
Power Systems ◽  
Load Forecasting ◽  
Reference Points ◽  
Optimization Approach ◽  
New Approach ◽  
Forecasting Accuracy ◽  
Power Load ◽  
Short Term Load Forecasting ◽  
Daily Load

For realizing highly accuracy load forecasting, a new method is proposed. Power load time series belongs to chaotic series. Firstly, for obtaining three parameters in chaotic theory, namely time delay, embedding dimension and the number of the nearest neighbors, self-correlation function method and G-P algorithm are used to reconstruct the phase space of chaotic time series. Secondly, ant colony optimization approach is introduced to more accurately acquire forecasting reference points, considering distance and relativity of phase points evolution in this paper. Finally, GM (1, 1) Model is applied to forecast daily load data. The actual forecasting results prove that the new approach has better forecasting accuracy and convergence.

Sign in / Sign up

Export Citation Format

Share Document