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  • 标题:An Optimal LFC in Two-Area Power Systems Using a Meta-heuristic Optimization Algorithm
  • 其他标题:An Optimal LFC in Two-Area Power Systems Using a Meta-heuristic Optimization Algorithm
  • 本地全文:下载
  • 作者:Mushtaq Najeeb ; Muhamad Mansor ; Hameed Feyad
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2017
  • 卷号:7
  • 期号:6
  • 页码:3217-3225
  • DOI:10.11591/ijece.v7i6.pp3217-3225
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.
  • 其他摘要:In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This meta-heuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters ( ) automatically. The developed controller (HS-PI) with LFC loop is very important to minimize the system frequency and keep the system power is maintained at scheduled values under sudden loads changes. Integral absolute error (IAE) is used as an objective function to enhance the overall system performance in terms of settling time, maximum deviation, and peak time. The two-area power systems and developed controller are modelled using MATLAB software (Simulink/Code). As a result, the developed control algorithm (HS-PI) is more robustness and efficient as compared to PSO-PI control algorithm under same operation conditions.
  • 关键词:LFC; meta-heuristic optimization; algorithm (HS); integral absolute error (IAE); MATLAB environment
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