شماره ركورد كنفرانس :
3926
عنوان مقاله :
Application of Bat Optimization Algorithm in Optimal Power Flow
پديدآورندگان :
Delkhosh Abatari .H h.delkhosh@modares.ac.ir PhD Student Electrical Engineering Tarbiat Modares University Tehran, Iran , Seydali seyf abad .M seydali@ee.sharif.edu PhD Student Electrical Engineering Sharif University of Technology Tehran, Iran , Seifi .H seifi_ho@modares.ac.ir Professor Electrical Engineering Tarbiat Modares University Tehran, Iran
كليدواژه :
component , Bat Algorithm (BA) , Optimal Power Flow (OPF) , Power System , Cost Minimization
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
In this paper, Bat Algorithm is proposed to solve the Optimal Power Flow (OPF) problem. The approach employs a Meta heuristic optimization algorithm called bat optimization algorithm to determine the optimal settings of control variables of OPF problem. The performance of proposed method examined on the IEEE 9, 14, 30 and 57-buses test systems with fuel cost minimization as the objective function. The numerical results are compared to those of Particle Swarm Optimization (PSO), Harmony Search (HS) and Cuckoo algorithms. Simulation results obtained from the proposed approach demonstrate that this method provide effective and robust high-quality answer for the OPF problem.
