Improvement of Dynamic Performance in SEIG WECS by Using ANFIS Controller

  • S.Radha Krishna Reddy
  • J.B.V. Subrahmanyam
  • A. Srinivasula Reddy
Keywords: Self-excited induction generator


A new hybrid controller for the Self-Excited Induction Generator (SEIG) driven by the Wind Energy Conversion Scheme (WECS) was proposed in this paper. The dynamic stability of the control grid is essential for both user protection and system performance. There must be a full grasp of the effects of power system volatility to research and govern power systems. The suggested control systems were examined using frequency-domain approaches that focused on the nonlinear design of a device that is subjected to severe faults on a related bus, which was tested using time-domain strategies. In this paper, a novel 3-level inverter is designed and controlled by the ANFIS control for the Dynamic Response of the system at the load side. The ANFIS approach can be used to regulate a self-excited induction generator in this study. The design incorporates wind power to give on-grid electricity access. SEIGs are used to power wind turbines in this project, which generates alternating current (AC) for the grid. The system model uses a rotor reference frame and dynamic vector control for the machine reference model. Wind power voltage and active power are controlled by an ANFIS controller in the converter. The ANFIS controller's performance is evaluated in all abnormal scenarios, including the worst-case scenario. System modeling and simulation in Simulink-Matlab allow it to be used in SEIG configurations. Wind power system quality and stability are both improved by the ANFIS control unit, according to simulation results.


[1] R. Syahputra, (2012), “Distributed Generation: State of the Arts dalam Penyediaan Energi Listrik”, LP3M UMY, Yogyakarta, 2012.
[2] R. Syahputra, (2013), “A Neuro-Fuzzy Approach For the Fault Location Estimation of Unsynchronized Two-Terminal Transmission Lines”, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 5, No. 1, pp. 23-37.
[3] A. Jamal, R. Syahputra, (2011), “Model Power System Stabilizer Berbasis Neuro-Fuzzy Adaptif”, SemestaTeknika, Vol. 14, No. 2, 139-149, 2011, pp. 139-149.
[4] R. Syahputra, (2012), “Fuzzy Multi-Objective Approach for the Improvement of Distribution Network Efficiency by Considering DG”, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 4, No. 2, pp. 57-68.
[5] R. Syahputra, I. Robandi, M. Ashari, (2012), “Reconfiguration of Distribution Network with DG Using Fuzzy Multi-objective Method”, International Conference on Innovation, Management and Technology Research (ICIMTR), May 21-22, 2012, Melacca, Malaysia.
[6] R. Syahputra, I. Robandi, M. Ashari, (2014), “Distribution Network Efficiency Improvement Based on Fuzzy Multi-objective Method”. IPTEK Journal of Proceedings Series. 2014; 1(1): pp. 224- 229.
[7] R. Syahputra, M. Ashari, I. Robandi, (2011), “Modeling and Simulation of Wind Energy Conversion System in Distributed Generation Units”. International Seminar on Applied Technology, Science and Arts (APTECS). 2011; pp. 290-296.
How to Cite
Krishna Reddy, S., Subrahmanyam, J., & Reddy, A. S. (2022). Improvement of Dynamic Performance in SEIG WECS by Using ANFIS Controller. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(1), 78-86.

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