Applications of Entropy Principles in Power Systems: A Survey

The entropy is a measure of uncertainty and has been widely applied to almost all disciplines. The purpose of this paper is to give an overview of the applications of entropy principles in power systems to attract more researchers to carry out further research in this field. Firstly, fundaments of entropy principles are introduced. Secondly, the current applications of entropy principles in power systems are presented respectively. Finally, some suggestions are given for future research on applying entropy principles to power systems

[1]  Liu Yan,et al.  A novel discretization scheme combined entropy with rough set theory for transient stability assessment based on ANN , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[2]  Ruiye Liu,et al.  On the application of entropy in excitation control , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[3]  Zhengyou He,et al.  A study of wavelet entropy theory and its application in power system , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..

[4]  Xian Wu,et al.  Automatic fault detection for power system using wavelet singular entropy , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..

[5]  A. Gomes Martins,et al.  On the use of reactive power as an endogenous variable in short‐term load forecasting , 2003 .

[6]  C. J. Wu,et al.  Application of immune algorithm to optimal switching operation for distribution-loss minimisation and loading balance , 2003 .

[7]  Chang-Yong Lee,et al.  Entropy-Boltzmann selection in the genetic algorithms , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[8]  X. Duan,et al.  Fuzzy curtailment model study for bilateral transaction , 2002, Proceedings. International Conference on Power System Technology.

[9]  A. Farhang-Mehr,et al.  Entropy-based multi-objective genetic algorithm for design optimization , 2002 .

[10]  Bruce Fardanesh,et al.  Future trends in power system control , 2002 .

[11]  Manjaree Pandit,et al.  Contingency ranking for voltage collapse using parallel self-organizing hierarchical neural network , 2001 .

[12]  H. Mori,et al.  Deterministic Annealing Clustering for ANN-Based Short-Term Load Forecasting , 2001, IEEE Power Engineering Review.

[13]  Shyh-Jier Huang,et al.  An immune-based optimization method to capacitor placement in a radial distribution system , 2000 .

[14]  Seema Singh,et al.  Estimation of loadability margin using parallel self-organizing hierarchical neural network , 2000 .

[15]  Pablo A. Iglesias,et al.  The relationship between minimum entropy control and risk-sensitive control for time-varying systems , 1999, IEEE Trans. Autom. Control..

[16]  S. Matoba,et al.  Surrogate constraint method for optimal power flow , 1997, Proceedings of the 20th International Conference on Power Industry Computer Applications.

[17]  M.A. El-Sharkawi,et al.  Comparative study of feature extraction techniques for neural network classifier [power system simulation] , 1996, Proceedings of International Conference on Intelligent System Application to Power Systems.

[18]  D. Bernstein,et al.  Maximum-entropy-type Lyapunov functions for robust stability and performance analysis , 1993 .

[19]  J. C. Sabonnadiere,et al.  Structural Analysis of the Electrical System: Application to Secondary Voltage Control in France , 1989, IEEE Power Engineering Review.

[20]  J. C. Sabonnadiere,et al.  Structural analysis of the electrical system , 1989 .

[21]  G. Saridis.  Entropy formulation of optimal and adaptive control , 1988 .

[22]  Gu Jie.  Study on maximum fuzzy entropy model of mid-and long-term load forecast in power system , 2003 .

[23]  F. Jedrzejewski.  Entropy and Lyapunov Exponents Relationships in Stochastic Dynamical Systems , 2003 .

[24]  Tang Lei,et al.  ONLINE FAULT DIAGNOSIS FOR POWER SYSTEM BASED ON INFORMATION THEORY , 2003 .

[25]  Zongze Wu,et al.  A new index of available transfer capability based on generalized entropy , 2003 .

[26]  Liu Yong.  Max entropy Technology for Daily Active Power Scheduling in Electricity Market , 1999 .

[27]  Laxmi Srivastava,et al.  Parallel self-organising hierarchical neural network-based fast voltage estimation , 1998 .

[28]  J. N. Kapur,et al.  Entropy optimization principles with applications , 1992 .