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Completed
Grants
Research Grants Awarded While at Missouri University of Science and Technology,
Rolla, USA
1.
NUTC -
Freight Optimization and Development in Missouri - Waterways and Ports Module,
University Transportation Centre, period: June - December, 2007, $10,600 (Co-PI, Venayagamoorthy).
2.
Freight Optimization Study - Waterways and Ports Module
- period: June - December 2007, $21,200 (Co-PI, Venayagamoorthy).
3.
NSF CAREER: REU Supplement - Scalable Learning and
Adaptation with Intelligent Techniques and Neural Networks for Reconfiguration
and Survivability of Complex Systems - period: June - August 2007, $6,000, ECCS
# 0348221 (PI, Venayagamoorthy).
4. SENSORS: REU Supplement - Approximate Dynamic Programming for Dynamic Scheduling
and Control in Sensor Networks, National
Science Foundation, period: June. 2007 - August 2007, $6,000, ECCS #0625737 (PI,
Venayagamoorthy).
5.
UMSAEP: Bio-Inspired Techniques for the Optimal Control
of Power Systems, Missouri University of Science and Technology South African Education Program,
period: January - December 2007 $5,000 (PI,
Venayagamoorthy).
6.
IREE - NSF CAREER: - Scalable Learning and Adaptation
with Intelligent Techniques and Neural Networks for Reconfiguration and
Survivability of Complex Systems, period: September, 2006 - September, 2007,
$25,000, ECCS # 0348221 (PI,
Venayagamoorthy).
7.
STTR-Navy: Fault Diagnostics, Prognostics, and
Self-Healing Control, period: September, 2006 - September, 2007, $45,089 (PI,
Venayagamoorthy).
8.
SENSORS: REU Supplement - Approximate Dynamic
Programming for Dynamic Scheduling and Control in Sensor Networks, National
Science Foundation, period: June - August 2006, $ 6,000, ECCS #0625737 (PI,
Venayagamoorthy).
9.
NSF CAREER: REU Supplement - Scalable Learning and
Adaptation with Intelligent Techniques and Neural Networks for Reconfiguration
and Survivability of Complex Systems, period: June - August, 2006, $ 6,000, ECCS
# 0348221 (PI,
Venayagamoorthy).
10. Planning visit to Mexico: Intelligent Techniques to Operation, Control and Diagnosis of Power Plants and Power Systems Including FACTS Devices, National Science Foundation, starting date: November, 2005, $ 6,501, (PI- Ronald Harley (Georgia Tech) Co-PI, Venayagamoorthy), OISE #0519161. (This is travel grant and since the amount is small, no subcontract is made to UMR but Venayagamoorthy’s travel is covered by Georgia Tech).
This Americas Program award will support a planning visit proposal from Dr.
Ronald Harley of the Georgia Institute of Technology and Dr. Ganesh K.
Venayagamoorthy of the Missouri University of Science and Technology-Rolla. The
researchers intend to meet with Mexican colleagues Dr. Edgar Sanchez and Dr.
Arturo Messina at the Centro de Investigaciones y Estudios Avanzados de IPN
(CINVESTAV-IPN) in Guadalajara, and to use the facilities of the Electric
Research Institute in Cuernavaca, in order to plan future complementary research
aimed at increasing the scope and impact of their current work in neurocontrol
of power systems. The collaboration should allow the further analysis and
validation of intelligent control algorithms developed by the U.S. side, using
the Mexican side's unique laboratory and simulation systems. The work could lead
to improved stability of the electric power grid, thus reducing the possibility
of unexpected large power black-outs, and its consequences to society. This,
together with the early diagnosis of impending faults in large rotating
generators and motors, will increase the reliability and productivity of energy
production and usage, resulting in lower environmental impacts and improved
productivity. Aside from the intellectual exchanges, the collaboration with
their Mexican colleagues will lead to broader impacts in the area of student
exchanges, coursework, and the involvement of females and minorities in the
project.
11.
UMSAEP: Computational Intelligence Techniques Applied
to Modeling Herbivore Plant Interactions in African Savannahs, period: January -
December, 2005, $5,000 (PI,
Venayagamoorthy).
12.
US-Army STTR: Fielded Agent-based Geo-Analysis Network
(FAGAN), period: August, 2004 – February, 2005, $45,000 (Co-PI, Venayagamoorthy).
13. Neural Network Based Wide Area Coordination and Local Control of Elements in a Large Complex System, National Science Foundation ECCS # 0400657, period: August, 2004 – July, 2007, $ 230,000 (Co-PI, Venayagamoorthy).
Many, many researchers have
called out for new systems to manage the nation's infrastructure networks which
would be adaptive, self-healing, integrated and intelligent. This project is a
unique effort to make those words literally true, by scaling up new approaches
to computational intelligence so as to provide greater performance, robustness
and foresight in the control of electric power grids. The work will build on
prior successes of the PIs, as described, for example, in
www.eas.asu.edu/~nsfadp, in which intelligent control allowed generators to stay
up and running in the face of disturbances three times as large as what forces a
generator shutdown, under the previous best control schemes. It will explore new
ways of scaling up to larger systems, involving multiple generators and advanced
power switching components, to be managed in an integrated, optimal fashion. It
will use power grids as a testbed for truly general concepts of intelligent
systems, and of adaptive management of complex systems.
14. US-Nigeria Cooperative Research: Computational Intelligence Techniques for Reactive Power / Voltage Control of Large Power Systems, National Science Foundation, period: August, 2003 – July, 2005, $ 30,000, INT # 0322894 (PI, Venayagamoorthy).
Venayamagoorthy 0322894
Around the world the demand for electric power is dramatically outpacing
available generation and transmission resources. Furthermore, an increasing
number of digital users require a higher quality of electricity. Although a
number of power system devices are now used to minimize system losses and to
improve voltage profiles of the power grid, the response of these power system
devices with the existing control is slower than the rate at which changes in
the system occur. In this joint project a U.S. scientist from the Missouri
University of Science and Technology-Rolla and two Nigerian scientists from
Abubakar Tafawa Balewa University will apply computational intelligent
techniques to improve the control response of these power system devices, thus
decreasing system losses and improving system voltage profiles at all times.
This project's research collaboration and educational cooperation will be
achieved via faculty and student exchanges between the U.S. and Nigeria.
Intelligent coordination of power system devices can improve the quality of
service, increase efficiency of the power transmission system, and ultimately
decrease the overall production cost. The research findings will have broad
application and will contribute to enhancing the operation of electric utilities
of both developing and developed countries.
15. U.S.-Brazil Collaborative Research: Feasibility Studies to Implement Neurocontrollers in Real Time in Brazil, National Science Foundation, period: August, 2003 – July, 2005, $33,500, INT # 0305429 (PI, Venayagamoorthy).
This U.S.-Brazil award will
support the collaborative research of Drs. Ganesh K. Venayagamoorthy, Ronald
Harley, and Donald C. Wunsch, Missouri University of Science and
Technology-Rolla to work with Dr. Nelson Martins, Brazilian Utilities Research
Center (CEPEL), and Dr. Djalma M. Falcao, Federal University of Rio de Janeiro
(COPPE), in Rio de Janeiro, Brazil. This international team will work to improve
the productivity of the existing and future Brazilian power generation and
transmission systems using the intelligent control techniques developed by the
PIs in an earlier project. CEPEL, the Brazilian national electricity research
and development organization, will provide a small-signal stability program for
the U.S. team to analyze the Brazilian power system. The Brazilians have already
carried out various investigations into finding methods to optimize their power
system, and are among world leaders in this regard. This project has the
potential to lead to nonlinear controllers for reducing costs of energy and
transmission. The U.S. electric power grid is comparable to the Brazilian grid
in terms of size and challenges faced. The results of this work will benefit
both the U.S. and Brazil.
16.
Swarm Intelligence for Generator Modeling and Control,
Missouri University of Science and Technology Research Board Grant, period: June, 2003 - May, 2004,
$24,000 (PI, Venayagamoorthy).
17. SGER: Intelligent Adaptive Control of Flexible Alternating Current Transmission System (FACTS) Devices in a Distributed Power Network Containing Turbogenerators, National Science Foundation, period: August 2002 to July 2004, $69,796, ECS # 0231632 (Co-PI, Venayagamoorthy).
"Flexible AC Transmission
System" (FACTS) devices refer to rapidly switching power semiconductor devices,
used in power systems to control the power flow and stabilize voltages. The
decentralized nature of their actions may cause deleterious interactions between
one FACTS device and another, as well as between FACTS devices and generators in
the system. Currently there is a general lack of understanding as to how to
systematically coordinate and stabilize system-wide dynamics via local
modulation of the faster FACTS devices as well as the slower generators.
Nonlinear neurocontrollers offer a solution. This project will evaluate the
initial application of neurocontrollers based on different adaptive critic
designs to two different types of FACTS devices (one at a time) on a
multi-machine power system. An SGER form of proposal is chosen because this is
preliminary work based on novel ideas, and if successful, the results will be
used to generate a regular proposal which will further investigate the
interactions between conventionally controlled generators and multiple neurocontrolled
FACTS devices. The significance of this work lies in: o Research
Benefits: Locally placed neurocontrolled FACTS devices can provide system wide
improved voltage support and stability, thus allowing the entire power system to
be operated more efficiently with a smaller stability margin. o Benefits to
Society: Economically operated reliable and secure power systems are of national
interest. When electricity demand exceeds available supply, it would be
beneficial to produce more electrical power per installed Megawatt (and Dollar)
of equipment, with the addition of relatively cheap intelligent neurocontrollers.
Research Grants Awarded while at the Durban Institute
of Technology, South Africa (1998 to 2001)
1.
NRF THRIP-ESKOM (South Africa) Grant to set up the Real
Time Power System Studies
Centre at Durban Institute of Technology (DIT) – 2001/2002, South African Rand
2.5 million (Initial proposal grant holder (PI-equivalent) prior to leaving DIT,
Venayagamoorthy) - $227,273.
2.
Continually Online Trained ANNs for Turbogenerator
Control, National Research Foundation
(NRF, South Africa) grant, August 1998 - July 2001, South African Rand 222,400
(PI,
Venayagamoorthy) -$27,800.
3.
ANNs in Speech Processing, National Research Foundation
(NRF, South Africa) grant, August 1998 - July 2001, South African Rand 168, 000
(PI, Venayagamoorthy) - $21,000.
4.
Speaker Identification using ANNs, Telkom (South
Africa) Centre of Excellence grant – 1999 to 2001, South African Rand 480,000,
(Co-PI, Venayagamoorthy) - $60,000.
Total research
funding to date, Venayagamoorthy’s share:
$3,394,495
Total research
funding, all investigators at UMR and DIT:
$4,143,173