Controller parameters optimization for multi-terminal DC power system using ant colony optimization

Ahmad, A ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/ACCESS.2021.3073491
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2021
  4. Abstract:
  5. Voltage source converter based multi - terminal DC grids (VSC - MTDC) are widely used for integration of renewable resources. Control of these grids requires vector control method, which includes inner and outer current controllers, tuning of these controllers is very important. Conventionally used tuning methods consider approximated linear model to tune the proportional - integral (PI) parameters of voltage source converter (VSC) which fails to produce optimum disturbance rejection results. In this research an Ant Colony Optimization (ACO) technique is used to get the optimum parameters of inner and outer power control layers for multi - terminal DC system. ACO is applied simultaneously on inner and outer control layers and results are compared with classical tuning method and well established meta - herustic technique, Particle Swarm Optimization (PSO) using MATLAB software. Dynamic models of VSC - MTDC are developed in PSCAD/EMTDC to exalt the qualities of the presented tuning method. In this paper, a four terminal VSC - MTDC has been used under different sequence of events of disturbances e.g. load change on AC side, active power reference change for inverter and rectifier mode and disconnection of one terminal to evaluate the robustness of ACO algorithm with respect to classical method. The proposed tuning method gives superior results under different disturbance compared to conventional method. © 2013 IEEE
  6. Keywords:
  7. Controllers ; Disturbance rejection ; Electric rectifiers ; MATLAB ; Particle swarm optimization (PSO) ; Power control ; Two term control systems ; Ant Colony Optimization (ACO) ; Controller parameter ; Conventional methods ; Current controller ; Proportional integral ; Renewable resource ; Vector control method ; Voltage source converters ; Ant colony optimization
  8. Source: IEEE Access ; Volume 9 , 2021 , Pages 59910-59919 ; 21693536 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9405671