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Practical Application of Genetic Algorithm in Optimum Power Flow
Speaker: Irfan Mulyawan Malik
Venue: Engineering Auditorium,
Block EA, Faculty of
Engineering,
Time: Monday, Jan 17th 2011,
7:30-8:30 pm National University of Singapore (Light refreshments will be served before the seminar) Summary:
This seminar presents a
practical application of Genetic Algorithm in one of the areas in which
power engineers focus on in order to minimize the operational cost and
system losses, while supplying reliable and uninterruptible electricity
to the consumers. In the power system industry, power engineers have
been using programming, tools and heuristic approach to find the optimal
configuration in operating the power systems and this requires a lot of
trials and errors as well as experiences in finding the best network
configuration. The proposed Genetic Algorithm is modeled to be flexible
for implementation to any practical power systems with the given system
line, bus data, generator fuel cost parameter and forecasted load
demand. It finds the optimal setting of Optimum Power Flow control
variables namely generator active power output, generator bus voltages,
transformer tap-setting and shunt devices with the objective function of
minimizing the fuel cost.
Biography: Mr. Irfan Mulyawan Malik has been working for more than 9 years in power engineering & power plant project management. His experience includes providing uninterrupted power supply to an industrial park, designing and building power plants and generators sets for remote power plants, mining, and oil and gas industries. He received B.Eng (Hons) and M. Eng degrees in Electrical Engineering from Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS) in 2001 and 2010 respectively. His research interests include power system optimisation and the application of computational intelligence in power engineering.
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For further information, please contact:-
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Dr Dipti (dipti@nus.edu.sg ) |
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