References
[1]. H. Farhangi, (2010). “The path of the smart grid,” IEEE
Power Energy Mag., Vol. 8, No. 1, pp. 18-28.
[2]. A. Ipakchi and F. Albuyeh, (2009). “Grid of the future,”
IEEE Power Energy Mag., Vol. 7, No. 2, pp. 52 - 62.
[3]. IEEE Smart Grid, [Online]. Available:
http://smartgrid.ieee.org.
[4]. A. Vojdani, (2008). “Smart Integration,” IEEE Power
Energy Mag., Vol. 6, No.6, pp. 71-79.
[5]. H. Sui, H. Wang, M. Lu, and W. Lee, (2009). “An AMI
System for the deregulated electricity markets,” IEEE Trans.
Ind. Appl., Vol. 45, No. 6, pp. 2104-2108.
[6]. J. De La Ree, V. Centeno, J. Thorp, and A. Phadke,
(2010). “Synchronized phasor measurement applications
in power systems,” IEEE Trans. Smart Grid, Vol.1, No.1, pp.
20-27.
[7]. S. Haykin, (1998). Neural networks: A comprehensive
foundation, 2nd ed., Prentice Hall.
[8]. T. Takagi and M. Sugeno, (1985). “Fuzzy identification
of systems and its applications to modelling and control,”
IEEE Trans. Syst., Man, Cybern., Vol. 15, pp. 116–132.
[9]. T. Back, U. Hammel, and H. Schwefel, (1997).
“Evolutionary computation: comments on the history and
current state,” IEEE Trans. Evol. Comput., Vol.1, No.1, pp. 3-
17.
[10]. Y. del Valle, G. K. Venayagamoorthy, S.
Mohagheghi, J. Hernandez, and R. G. Harley, (2008).
“Particle Swarm Optimization: Basic concepts, Variants
and Applications in Power Systems,” IEEE Trans. Evol.
Comput., Vol.12, No.2, pp.171-195.
[11]. J. S. R. Jang and C. T. Sun, (1995). “Neuro-fuzzy
modeling and control,” Proc. IEEE, Vol.83, No.3, pp.
378–406.
[12]. K. Narendra, (1996). “Neural networks for control
theory and practice,” Proc. IEEE, Vol. 84, No.10, pp.1385-
1406.
[13]. P. Werbos, (2000). “New directions in ACDs: keys to
intelligent control and understanding the brain,” in Proc.
2000 Int'l Joint Conf. Neural Networks (IJCNN), Vol.3,
pp.61-66, Como, Italy, 24.
[14]. I. Moghram and S. Rahman, (1989). “Analysis and
evaluation of five shortterm load forecasting techniques,”
IEEE Trans. Power Syst., Vol.4, pp.1484–1491.
[15]. A. Khotanzad, R. Afkhami-Rohani, T. Lu, A. Abaye, M.
Davis, and D.J. Maratukulam, (1997). “ANNSTLF—A neural
network based electric load forecasting system,” IEEE
Trans. Neural Netw., Vol.8, No.4, pp. 835–846.
[16]. N. Amjady, F. Keynia, and H. Zareipour, (2010).
“Short-Term Load Forecast of Microgrids by a New Bilevel
Prediction Strategy,” IEEE Trans. Smart Grid, Vol.1, No.3.
[17]. B. Ernst, B. Oakleaf, M. L. Ahlstrom, M. Lange, C. Moehrlen, B. Lange, U. Focken, and K. Rohrig, (2007).
“Predicting the wind,” IEEE Power Energy Mag., Vol.5, No.6,
pp. 78-89.
[18]. B. Venkatesh, P. Yu, H. Gooi, and D. Choling, (2008).
“Fuzzy MILP Unit Commitment Incorporating Wind
Generators,” IEEE Trans. Power Syst., Vol. 23, No. 4, pp.
1738-1746.
[19]. R. Liang and J. Liao, (2007). “A Fuzzy-Optimization
Approach for Generation Scheduling with Wind and Solar
Energy Systems,” IEEE Trans. Power Syst., Vol. 22, No. 4, pp.
1665-1674.
[20]. K. Morison, L. Wang, and P. Kundur, (2004). “Power
system security assessment,” IEEE Power Energy Mag., Vol.
2, No. 5, pp. 30-39.
[21]. K. Swarup and P. Corthis, (2002). “ANN approach
assesses system security,” IEEE Comput. Appl. Power, Vol.
15, No. 3, pp. 32-38.
[22]. J. He and O.P. Malik, (1997). “An Adaptive Power
System Stabilizer Based on Recurrent Neural Networks,”
IEEE Trans. Energy Convers., Vol. 12, No.4, pp. 413-418.
[23]. G. Venayagamoorthy, R. Harley, and D. Wunsch,
(2003). “Implementation of adaptive critic-based
neurocontrollers for turbogenerators in a multimachine
power system,” IEEE Trans. Neural Netw., Vol. 14, No. 5, pp.
1047-1064.
[24]. J. Dai, G. Venayagamoorthy, R. Harley, K. Corzine,
(2010). “Indirect adaptive control of an active filter using
Echo State Networks,” in Proc. IEEE Energy Convers.
Congress and Expo. (ECCE), Atlanta, GA.
[25]. S. Mishra, (2006). “Neural-Network-Based Adaptive
UPFC for Improving Transient Stability Performance of
Power System,” IEEE Trans. Neural Network., Vol. 17, No. 2,
pp. 461-470.
[26]. S. Mohagheghi, G. K. Venayagamoorthy, and R. G.
Harley, (2006). “Adaptive Critic Design Based Neuro-Fuzzy
Controller for a Static Compensator in a Multimachine
Power System,” IEEE Trans. Power Syst., Vol. 21, No. 4, pp.
1744-1754.
[27]. W. Qiao, R. G. Harley, and G. K. Venayagamoorthy,
(2008). “Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power
Network With Missing Sensor Measurements,” IEEE Trans.
Neural Netw., Vol. 19, No. 7, pp. 1179-1195.
[28]. W. Qiao, R. G. Harley, and G. K. Venayagamoorthy,
(2009). "Coordinated reactive power control of a large
wind farm and a STATCOM using heuristic dynamic
programming," IEEE Trans. Energy Convers., Vol. 24, No. 2,
pp. 493-503.
[29]. P. Kundur, Power system stability and control, New
York: McGraw-Hill, 1994. ISBN-13: 978-0070359581.
[30]. B. Fardanesh, (2002). “Future trends in power system
control,” IEEE Comput.Appl. Power, Vol. 15, No. 3, pp. 24-
31.
[31]. G. Venayagamoorthy, (2004). “CAREER: Scalable
learning and adaptation with intelligent techniques and
neural networks for reconfiguration and survivability of
complex systems,”.
[32]. J. Momoh, (2004). “Towards Dynamic Stochastic
Optimal Power Flow,” in Hanbook of learning and
approximate dynamic programming, Wiley-IEEE Press.
[33]. J. Liang, R. G. Harley, and G. K. Venayagamoorthy,
(2011). “Adaptive critic design based dynamic optimal
power flow controller for a smart grid,” in Proc. 2011 IEEE
Symp. Series Comput. Intell. (SSCI) – Comput. Intell. Appl.
Smart Grid (CIASG), Paris, France, Apr. 11-15.
[34]. Y. Zhang, M. Ilic, and O. Tonguz, (2011). “Mitigating
blackouts via smart relays: a machine learning
approach,” Proc. IEEE, Vol.99, No.1, pp. 94-118.
[35]. Y. Song, A. Johns, and Q. Xuan, (1996). “Artificial
neural-network-based protection scheme for
controllable series-compensated EHV transmission lines,”
IEE Proc. Gener. Transm. Distrib., Vol.143, No.6,
pp.535–540.
[36]. A. Y. Abdelaziz, M. R. Irving, M. M. Mansour, A. M. El-
Arabaty, and A. I. Nosseir, (1998). “Adaptive Protection
Strategies for Detecting Power System Out-of-step
Conditions Using Neural Networks,” IEE Proc.Gener.
Transm. Distrib., Vol. 145, No. 4, pp. 387–394.
[37]. N. Zhang and M. Kezunovic, (2007). “Transmission
Line Boundary Protection Using Wavelet Transform and Neural Network,” IEEE Tran. Power Del., Vol.22, No.2, pp.
859-869.
[38]. M. Michalik, W. Rebizant, M. Lukowicz, S. Lee, and S.
Kang, (2006). “High-Impedance Fault Detection in
Distribution Networks With Use of Wavelet-Based
Algorithm,” IEEE Trans. Power Del., Vol. 21, No. 4, pp. 1793-
1802.
[39]. D. Thukaram, H. P. Khincha, and H. P.
Vijaynarasimha, (2005). “Artificial Neural Network and
Support Vector Machine Approach for Locating Faults in
Radial Distribution Systems,” IEEE. Trans. Power Del., Vol.20,
No. 2, pp. 710-721.
[40]. D. Das, (2006). “A Fuzzy Multiobjective Approach for
Network Reconfiguration of Distribution Systems,” IEEE
Trans. Power Del., Vol.21, No. 1, pp. 202-209.
[41]. S. Kannan, S. Slochanal, and N. Padhy, (2005).
“Application and comparison of metaheuristic
techniques to generation expansion planning problem,”
IEEE Trans. Power Syst., Vol. 20, No. 1, pp. 466–475.
[42]. Z. A. Vale, P. Faria, H. Morais, H. M. Khodr, M. Silva,
and P. Kadar1, (2010). “Scheduling distributed energy
resources in an isolated grid — An artificial neural network
approach,” in Proc. 2010 IEEE PES General Meeting,
Minneapolis, MN, Jul. 25-29.
[43]. T. K. A. Brekken, A. Yokochi, A. von Jouanne, Z. Z. Yen,
H. M. Hapke, and D. A. Halamay, (2011). “Optimal Energy
Storage Sizing and Control for Wind Power Applications,”
IEEE Trans. Sustainable Energy, Vol. 2, No.1, pp. 69-77.
[44]. N. Gudi, L. Wang, V. Devabhaktuni, and S. S. S. R.
Depuru, (2010). “Demand response simulation
implementing heuristic optimization for home energy
management,” in Proc. 2010 North American Power
Symposium (NAPS), Arlington, TX, Sep. 26-28.
[45]. H. He and J. A. Starzyk, (2006). "A Self Organizing
Learning Array System for Power Quality Classification
based on Wavelet Transform," IEEE Trans. Power Del.,
Vo1.21, pp. 286-295.
[46]. J. Mazumdar and R. G. Harley, (2008). “Utilization of
Echo State Networks for Differentiating Source and
Nonlinear Load Harmonics in the Utility Network,” IEEE
Trans. Power Electron., Vol. 23, No. 6, pp. 2738-2745.
[47]. H. Khorashadi-Zadeh and Z. Li, (2008). “Intelligence
Based Data Acquisition System for Protective Relays,” in
Proc. 2008 IEEE PES Transmission and Distribution Conf.
and Exp., Chicago, IL, USA.
[48]. W. Qiao, G. Venayagamoorthy, R. Harley, (2009).
“Missing-sensor-fault-tolerant control for SSSC FACTS device with real-time implementation”, IEEE Trans. Power
Del., vol. 24, no. 2, pp. 740-750.
[49]. NETL, (2007). The NETL Modern Grid Initiative Powering
our 21st-Century Economy: Modern Grid Benefits.
Department of Energy.
