กระบวนการเชิงวัฒนธรรมแบบฝูงผึ้งสำหรับการแก้ปัญหาการไหลของกำลังไฟฟ้าเหมาะที่สุด

Abstract

Abstract

This paper presents the use of a novel hybrid method based on Artificial Bees Colony and Cultural Algorithm (CA) in order to solve the Optimal Power Flow (OPF) problems. The method was applied to IEEE-30 bus test system and its simulation results were compared to other intelligent-based techniques such as Genetic Algorithms, Particle Swarm Optimization and the traditional Bees Colony Algorithm. This paper presents the use of Cultural-based Bee Colony Algorithm to solve the OPF problems. The results show that solving the OPF problem by the Cultural-based Bee Colony are more effective than other swarm intelligence methods in the literature.