Economic Dispatch Thermal Generator Using Modified Improved Particle Swarm Optimization
Abstract: Fuel cost of a
thermal generator is its own load functions. In this research, Modified
Improved Particle Swarm Optimization (MIPSO) is applied to calculate economic
dispatch. Constriction Factor Approach (CFA) is used to modify IPSO algorithm
because of the advantage to improve the ability of global searching and to
avoid local minimum, so that the time needed to converge become faster.
Simulation results achieved by using
MIPSO method at the time of peak load of of 9602 MW, obtained generation
cost is Rp 7,366,912,798,34 per hour, while generation cost of real system is
Rp. 7,724,012,070.30 per hour. From the simulation result can be concluded that
MIPSO can reduce the generation cost of
500 kV Jawa Bali transmission system of Rp 357,099,271.96 per hour or
equal to 4,64%.
Author: Andi Muhammad Ilyas,
M. Natsir Rahman
Journal Code: jptkomputergg120070
