Loading...

Application of bat optimization algorithm in optimal power flow

Delkhosh Abatari, H ; Sharif University of Technology | 2016

958 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2016.7585628
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2016
  4. Abstract:
  5. 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. © 2016 IEEE
  6. Keywords:
  7. Bat Algorithm (BA) ; Optimal Power Flow (OPF) ; Power System ; Acoustic generators ; Costs ; Electric load flow ; Particle swarm optimization (PSO) ; Bat algorithms ; Cost minimization ; Fuel cost minimizations ; Meta-heuristic optimizations ; Optimal power flow problem ; Optimal power flows ; Optimization algorithms ; Optimization
  8. Source: 24th Iranian Conference on Electrical Engineering, ICEE 2016, 10 May 2016 through 12 May 2016 ; 2016 , Pages 793-798 ; 9781467387897 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7585628