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Designing a new robust control method to reduce LFOs in the power system | ||
| AUT Journal of Modeling and Simulation | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 01 دی 1404 | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2025.24959.5443 | ||
| نویسندگان | ||
| Farhad Amiri* 1؛ Sajad Sadr2 | ||
| 1Department of Electrical Engineering, Tafresh University, Tafresh 39518-79611, Iran | ||
| 2Department of Electrical Engineering, Tafresh University, Tafresh, 39518-79611, Iran | ||
| چکیده | ||
| LFOs are among the most significant variables that lead to the loss of power system stability and the reduction of transmission line capacity. The SSSC is one of the parts used to increase the power system's stability. In this paper, in order to improve the stability of the power system and also to reduce the LFOs, the design of the SSSC equipped with a new robust controller is discussed, which is called output feedback based on LMI. The stability criterion of the suggested method is established based on the Lyapunov stability theory. The control objectives in the proposed method are the asymptotic stability of the system under the influence of disruption and parameter uncertainty as well as minimizing the impact of disturbance on the system states. SSSC equipped with output feedback method based on LMI with compensation based on RMPC methods, Fuzzy lead-lag optimized by PSO, Fuzzy lead-lag optimized by MWOA has been compared and the results are that the proposed method has a favorable performance compared to other control methods presented and has been able to withstand the uncertainty of parameters and disturbances. In order to compare the performance of the proposed method, simulations have been performed in different scenarios. The maximum deviations related to the rotor angular velocity are improved by 58% using the proposed method. The settling time related to rotor angular velocity deviations has been improved by 6% using the proposed method. | ||
| کلیدواژهها | ||
| LFO؛ New robust controller؛ Lyapunov stability theory؛ SSSC | ||
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