ANN Hybridized FACTS Controller for Wind Energy Conversion System

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 11

Year of Publication : 2024

Authors : Vaishali Chavhan, Mukesh Kumar, Santosh Kumar Singh, Sweta Suman

10.14445/23488379/IJEEE-V11I11P107

How to Cite?

Vaishali Chavhan, Mukesh Kumar, Santosh Kumar Singh, Sweta Suman, "ANN Hybridized FACTS Controller for Wind Energy Conversion System," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 11, pp. 65-76, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I11P107

Abstract:

Demand for power is rising, highlighting the need for renewable energy sources as long-term energy sources. Wind power is a prominent renewable energy source. Dually Fed Induction Generator (DFIG) wind energy system has become increasingly popular because of its many advantages, which include independent control of reactive and active power And variable speed operation. Energy system experts now have serious concerns about integrating wind farms with DFIG into the electrical grid. When there are grid disruptions, voltage stability is essential to keep DFIG-based wind farms operational. The total voltage stability of the system may start to be impacted by wind turbines during grid faults large, wind farm tripping due to the wind power's rapid growth in penetration into power systems. Unbalanced loads, disturbances, shifting system conditions, and rising load demand are some of the causes of voltage instability. The Artificial Neural Network (ANN) controlled the Proportional Integral (PI)-controlled STATCOM, which is examined in this paper. Within the MATLAB environment, simulation is performed. Furthermore, the simulation findings demonstrated that in comparison to PI-controlled STATCOM and STATCOM devices with artificial neural networks mitigate consequences of grid disruptions and failures, such as L-G failures, L-L faults, and voltage stability problems. Research acquired simulated results of bus voltages, reactive power, and real power. These graphs depict the results before and after a fault in the term of voltage is 228 kV, reactive power is 23.37 MVAR and 185.67 kV, reactive power is 28.95 MVAR, which are enhanced by STATCOM voltage is 226 kV, reactive power is 25.7 MVAR, and further refined for greater accuracy using ANN voltage is 229.9 kV and reactive power is 23.307 MVAR. The proposed and implemented system outperforms the state-of-the-art approaches the evaluation centers on assessing their capability to regulate voltage profiles and reactive energy compensation margins of the system. Additionally, the research scrutinizes the best placement of both devices connected to the load side to maximize their efficiency in improving voltage profiles.

Keywords:

ANN, DFIG, 9 bus IEEE, Static Synchronous Compensator (STATCOM), Static compensator, 12 pulse, Voltage stability, Wind Energy Conversion System (WECS). 

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