Volume 19, Issue 1 (JIAEEE Vol.19 No.1 2022)
Journal of Iranian Association of Electrical and Electronics Engineers 2022, 19(1): 125-137 |
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moradi M H, amiri F. Load frequency control in a two area microgrid by Optimized model predictive controller. Journal of Iranian Association of Electrical and Electronics Engineers 2022; 19 (1) :125-137
URL: http://jiaeee.com/article-1-992-en.html
URL: http://jiaeee.com/article-1-992-en.html
Bu-Ali Sina University
Abstract: (2023 Views)
Load-frequency control in an isolated microgrid is very important.By turbulence the load, the frequency of the microgrid begins to oscillate which must be damped using the load-frequency control system (secondary control). In this paper, we have reduced the number of utilized controllers for the power supplies in the microgrid (less complexity) and we have incorporated the Model Predictive Controller (MPC), whose weight parameters are optimized using the novel Hybrid Craziness based Particle Swarm Optimization-Pattern Search (HCRPSO-PS) algorithm, for controlling the load-frequency in a two-area microgrid. The results of the proposed controller, in a number of different scenarios, are compared with other methods such as the PID controller optimized with the Social Spider Optimization (SSO) algorithm and the model predictive controller whose weight parameters are obtained using the Craziness based Particle Swarm Optimization (CRPSO) algorithm (to demonstrate the efficiency of the novel hybrid algorithm), considering load variations and the distribution of the sources in the microgrid. We have demonstrated the efficiency of the proposed method in terms of response speed, overshoot/undershoot reduction and control complexity(less complex). Simulations are performed using MATLAB software
Keywords: Load-frequency control, two area Microgrid, Model Predictive Controller, reduced the number of utilized controllers, power supplies, Hybrid Craziness based Particle Swarm Optimization-Pattern search.
Type of Article: Research |
Subject:
Power
Received: 2019/10/2 | Accepted: 2021/02/15 | Published: 2022/04/14
Received: 2019/10/2 | Accepted: 2021/02/15 | Published: 2022/04/14
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