Project V
Title:
YIP: The Intelligent All-Electric Ship Power System
Investigators: Dr. G K Venayagamoorthy
Funding Source: Office of the Naval Research
Project Description: Computational intelligence (CI) techniques are proposed to develop robust and
adaptive control system for the all-electric ship (AES) power system. Artificial immune systems, neural
networks, adaptive critic designs and evolutionary swarm intelligence techniques are developed for
control and reconfiguration of the AES power system during normal, fault, and fight and hurt operating
conditions. The proposed plug-and-play control architecture is hierarchical and distributed in nature. The
architecture allows fast self-healing of the AES power system after hurt or fault condition with the
objective to maximize survivability and operability of the ship especially during critical missions. The
integration of distributed generation sources and their optimal control and allocation to enhance this
objective is also investigated.
Project Publications (selected):
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Xiao P, Venayagamoorthy GK, Huang J, Corzine K, “Recurrent Neural Networks Based Impedance
Measurement Technique for Power Electronic Systems”, IEEE Transactions on Power Electronics,
Vol. 25, No. 2, February 2010, pp. 382-390.
Mitra P, Venayagamoorthy GK, “An Adaptive Control Strategy for DSTATCOM Applications in an
Electric Ship Power System”, IEEE Transactions on Power Electronics, Vol. 25. No. 1, January 2010,
pp. 95-104.
Mitra P, Venayagamoorthy GK, “Implementation of an Intelligent Reconfiguration Algorithm for an
Electric Ship Power System”, IEEE Industry Application Society Annual Meeting, Houston, TX, USA,
October 4 - 7, 2009, pp. 1-8.
Mitra P, Venayagamoorthy GK, “Real-Time Implementation of an Intelligent Algorithm for Electric
Ship Power Reconfiguration”, IEEE Electric Ship Technologies Symposium, Baltimore, MD, USA,
April 20-22, 2009, pp. 219-226.
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Yan C, Venayagamoorthy GK, Corzine K, “Hardware Implementation of an AIS-Based Optimal
Excitation Controller for an Electric Ship”, IEEE Industry Applications Society Annual Meeting,
Edmonton, AB, Canada, October 5-9, 2008, pp. 1-8.
Dai J, Zhang P, Mazumdar J, Harley RG, Venayagamoorthy GK, “A Comparison of MLP, RNN and
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ESN in Determining Harmonic Contributions from Nonlinear Loads”, 34 Annual Conference of the
IEEE Industrial Electronics Society, Orlando, FL, USA, November 10-13, 2008, pp. 3025-3032.
Hunjan M, Venayagamoorthy GK, “Adaptive Power System Stabilizers Using Artificial Immune
System”, IEEE Symposium on Artificial Life, Honolulu, HI, USA, April 1-5, 2007, pp. 440-447.
Hunjan M, Venayagamoorthy GK, “Adaptive Immune System Based Power System Stabilizers”,
International Conference on Power Systems, Operation and Planning, Cape Town, South Africa,
January 22-25, 2007.