Particle Swarm Optimization Method To Reduce of Operational Energy for Thermal Power Plant
Keywords:
Energy, particle swarm optimization, economic dispatch, thermal power plant, operational schedule.Abstract
An Optimal operation of thermal power plant requires an efficient generator minimum energy. In fact required
energy is still too high and become a problem of economic dispatch in the operation of the power plant. Scheduling is
needed to get optimal power plant operation especially in terms of energy usage, but still notice the optimization of
electricity. As Electrical Engineers in this research, has researched to purpose the scheduling arrangements for operations
at PTCL with the requested load demand and a minimum operational energy. The optimum solution of this problem is
using PSO method. Operational of this method used Mathlab software. Heat rate characteristics of the generating unit and
generator load are collected to obtain objective functions and constraint functions. This function is completed by PSO to
get the lowest energy. To analyse its accuracy, the PSO method will be compared with the manual calculation of real
generation without PSO. The total actual energy without PSO is 26.226,4886 MWh. Then PSO simulation gave the total
energy is 25.624,4762 MWh. So the generation energy savings is 602,0125MWh or 2.295% reduction. The results of this
research provide an economical calculation using the PSO method.
