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Improving the frequency stability of the power system in the presence of a wind turbine using an optimized cascaded controller
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Farhad Amiri   , Mohammad Hassan Moradi * |
| Bu-Ali Sina University , mhmoradi@basu.ac.ir |
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Abstract: (926 Views) |
The issue of frequency control is very important in the power system. The presence of wind turbine in the power system makes frequency control challenging. In order to improve the frequency control of the power system in the presence of wind turbine, in this paper, a new control method is designed. In this method, the coordinated control of load-frequency control (LFC) system and superconducting magnetic energy storage (SMES) has been discussed using PD-FOPID cascade controller. The PD member in this type of controller responds to the frequency changes of the power system faster and also the FOPID member has a favorable performance against the uncertainty of the system parameters and disturbances. In this paper, the problem of owl search algorithm is solved. Considering that the owl search algorithm may get stuck in the local optimum. In this paper, solutions are presented to solve this problem of the owl search algorithm, which is called the developed owl search algorithm, and in order to improve the performance of the PD-FOPID controller, the developed owl search algorithm is used to optimally adjust its parameters. . The proposed control method with several methods including: Load frequency control (LFC) and superconducting magnetic energy storage (SMES) based on the robust controller, LFC and SMES based on the MSA-PID controller, LFC based on the MSA-PID controller with SMES and LFC based on the MSA-PID controller without SMES has been compared in four scenarios and the results show the superiority of the proposed method over the other mentioned methods. Is. The proposed method is resistant to load disturbances, disturbances caused by wind turbines, and uncertainty related to system parameters.
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Article number: 6 |
| Keywords: Superconducting magnetic energy storage, Cascaded controller, Wind turbine, Developed owl search algorithm |
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Full-Text [PDF 9878 kb]
(289 Downloads)
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Type of Study: Research |
Subject:
Renewable Energy Systems
Received: 2023/09/16 | Accepted: 2023/10/6 | Published: 2023/12/12
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