Nodal Load Profiles Estimation for Time Series Load Flow Using Independent Component Analysis

This paper presents a method to estimate load profile in a multiple power flow solutions for every minutes in 24 hours per day. A method to calculate multiple solutions of non linear profile is introduced. The Power System Simulation/Engineering (PSS®E) and python has been used to solve the load power flow. The result of this power flow solutions has been used to estimate the load profiles for each load at buses using Independent Component Analysis (ICA) without any knowledge of parameter and network topology of the systems. The proposed algorithm is tested with IEEE 69 test bus system represents for distribution part and the method of ICA has been programmed in MATLAB R2012b version. Simulation results and errors of estimations are discussed in this paper. Keywords—Electrical Distribution System, Power Flow Solution, Distribution Network, Independent Component Analysis, Newton Raphson, Power System Simulation for Engineering.

[1]  Dagmar Niebur,et al.  Exploring independent component analysis for electric load profiling , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[2]  Hui Yang,et al.  Newton-Raphson on power flow algorithm and Broyden Method in the distribution system , 2008, 2008 IEEE 2nd International Power and Energy Conference.

[3]  P. Babu,et al.  A novel power flow solution methodology for radial distribution systems , 2010, 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON).

[4]  Thomas J. Overbye,et al.  A new method for finding low-voltage power flow solutions , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[5]  Jean-Francois Cardoso,et al.  Blind signal separation: statistical principles , 1998, Proc. IEEE.

[6]  Mohamed E. El-Hawary,et al.  An enhanced power flow solution algorithm for radial distribution feeder systems , 2010, CCECE 2010.

[7]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[8]  Jacek M. Zurada,et al.  Blind extraction of singularly mixed source signals , 2000, IEEE Trans. Neural Networks Learn. Syst..

[9]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[10]  Khaled Zehar,et al.  Efficient Load Flow Method for Radial Distribution Feeders , 2006 .