Volume 17, Issue 2 (JIAEEE Vol.17 No.2 2020)
Journal of Iranian Association of Electrical and Electronics Engineers 2020, 17(2): 135-148 |
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Amiri F, Hatami A. Nonlinear Load frequency control of isolated microgrid using fractional order PID based on hybrid craziness-based particle swarm optimization and pattern search. Journal of Iranian Association of Electrical and Electronics Engineers 2020; 17 (2) :135-148
URL: http://jiaeee.com/article-1-544-en.html
URL: http://jiaeee.com/article-1-544-en.html
Bu-Ali Sina University
Abstract: (7620 Views)
Abstract :
One of the important issue in isolated microgrid is load-frequency control. This paper proposes a fractional order PID (FOPID) controller for load-frequency control of microgrid by considering nonlinear factors of Distributed energy resources. The parameters of FOPID are optimized using hybrid Craziness-based Particle Swarm Optimization (CRPSO) and Pattern Search (PS), which the first is used for global search and the other is used for local search. The simulation is carried out in MATLAB/SIMULINK environment. Different senrios are simulated for studying the effects of different disturbances such as load changes (in step form), changes of output power of photovoltaic and wind turbine generators, all with and without considering parameters uncertainties. The results shows the better performance of the proposed controller as compared with fractional order PID (FOPID) and PID, which is optimized by optimized by particle swarm optimization, and fuzzy PI, which is optimized by particle swarm optimization.
One of the important issue in isolated microgrid is load-frequency control. This paper proposes a fractional order PID (FOPID) controller for load-frequency control of microgrid by considering nonlinear factors of Distributed energy resources. The parameters of FOPID are optimized using hybrid Craziness-based Particle Swarm Optimization (CRPSO) and Pattern Search (PS), which the first is used for global search and the other is used for local search. The simulation is carried out in MATLAB/SIMULINK environment. Different senrios are simulated for studying the effects of different disturbances such as load changes (in step form), changes of output power of photovoltaic and wind turbine generators, all with and without considering parameters uncertainties. The results shows the better performance of the proposed controller as compared with fractional order PID (FOPID) and PID, which is optimized by optimized by particle swarm optimization, and fuzzy PI, which is optimized by particle swarm optimization.
Keywords: Microgrid, Load frequency control, Nonlinear model, Fractional order PID, Hybrid craziness-based particle swarm and Pattern Search
Type of Article: Research |
Subject:
Power
Received: 2018/03/28 | Accepted: 2018/11/17 | Published: 2020/06/28
Received: 2018/03/28 | Accepted: 2018/11/17 | Published: 2020/06/28
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