Pelaksanaan Algoritma Pendebungaan Bunga untuk Menyelesaikan Masalah Penghantaran Ekonomi dalam Sistem Kuasa

Abstract

This study presents the efficiency of the Flower Pollination Algorithm (FPA) in solving economic dispatch. The best economic dispatch for a power system is that the system can generate energy at low generation costs. The calculation of the generating cost is subject to a number of constraints, such as the power demand for the entire system and the generation limit for each generator unit in the system. In addition, the system should also produce low power loss to reduce the impact of greenhouse gas emission. FPA optimization technique is developed based on the transfer of pollen from one flower to another on the same tree or another tree using natural pollinators such as honey bees, birds, water, or wind. Among the advantages of FPA over other techniques are simplicity in computational formulas and fast search simulation time. The proposed algorithm has been implemented in two systems namely IEEE 9 bus 3 generator system and IEEE 30 bus 6 generator. Both of these systems were tested in a Matlab environment. To highlight the capabilities of FPA, the results using this proposed technique are compared with the Moth Flame Algorithm (MFA) technique to determine the efficiency of the proposed approach in solving economic dispatch. MFA is an optimization technique that has been widely used in finding optimal results, especially in engineering research. The simulation results show that FPA performs better than MFA in determining the optimal power generation value with minimum generation cost and low rate of power loss.