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Design of damping controller for STATCOM connected to doubly fed induction generator in multi-machine power system
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Ehsan Akbari *   |
| Department of Electrical Engineering, Mazandaran University of Science and Technology, Babol, Iran |
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Abstract: (1016 Views) |
Due to the ever-increasing development of the electricity industry and the growth of consumption demand, the use of clean energy sources is increasing. In this regard, the use of wind energy as a clean and free source for the production of electrical energy is expanding day by day, and according to predictions, 20% of the world's energy will be obtained through wind by 2030. But in addition to all the advantages of wind energy, using them in the form of wind turbines in power grids in order to provide the required power can be considered a negative factor from the point of view of stability in power systems. The purpose of this article is to use the predictive control method based on logger functions to check the small signal stability of a hybrid network, including synchronous generators, wind farms and parallel STATCOM compensator. In this method, by using logger functions, the computational time in model-based predictive control has been reduced, so that the accuracy of tracking control signals can be increased and the stability of the system can be improved. The proposed method for controlling the active and reactive powers in the rotor side converter related to DFIG and the type of compensator used has been done in such a way that the performance of the power system can be increased by applying appropriate switching in the corresponding inverter. The simulation results using MATLAB software have been evaluated in the time domain, and its superiority has been clearly shown in order to improve the damping of power system fluctuations. |
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| Keywords: Small-signal stability, Doubly Fed Induction Generator, STATCOM compensator, Predictive Control, Rotor-Side Converter |
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Full-Text [PDF 945 kb]
(402 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2022/12/10 | Accepted: 2023/03/12 | Published: 2023/03/12
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