Neuro-Fuzzy Based High-Voltage DC Model to Optimize Frequency Stability of an Offshore Wind Farm

• Published in: Processes Vol. 11; no. 7; p. 2049
• Main Authors: Bhutta, Muhammad Shoaib, Xuebang, Tang, Faheem, Muhammad, Almasoudi, Fahad M., Alatawi, Khaled Saleem S., Guo, Huali
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Adaptive control; Alternative energy sources; Artificial neural networks; Buildings and facilities; Communication; Control methods; Controllers; Design; Dynamic stability; Electricity distribution; Flexibility; Frequency analysis; Frequency stability; Fuzzy logic; High voltages; Hybrid systems; Induction generators; Offshore; Offshore energy sources; Optimization; Performance evaluation; Power flow; Renewable resources; Rotors; Stability analysis; Synchronism; Synchronization; Systems stability; Transient stability; Voltage; Wind farms; Wind power; Wind speed
• ISSN: 2227-9717; 2227-9717
• DOI: 10.3390/pr11072049

Lack of synchronization between high voltage DC systems linking offshore wind farms and the onshore grid is a natural consequence owing to the stochastic nature of wind energy. The poor synchronization results in increased system disturbances, grid contingencies, power loss, and frequency instability. Emphasizing frequency stability analysis, this research investigates a dynamic coordination control technique for a Double Fed Induction Generator (DFIG) consisting of OWFs integrated with a hybrid multi-terminal HVDC (MTDC) system. Line commutated converters (LCC) and voltage source converters (VSC) are used in the suggested control method in order to ensure frequency stability. The adaptive neuro-fuzzy inference approach is used to accurately predict wind speed in order to further improve frequency stability. The proposed HVDC system can integrate multiple distributed OWFs with the onshore grid system, and the control strategy is designed based on this concept. In order to ensure the transient stability of the HVDC system, the DFIG-based OWF is regulated by a rotor side controller (RSC) and a grid side controller (GSC) at the grid side using a STATCOM. The devised HVDC (MTDC) is simulated in MATLAB/SIMULINK, and the performance is evaluated in terms of different parameters, such as frequency, wind power, rotor and stator side current, torque, speed, and power. Experimental results are compared to a conventional optimal power flow (OPF) model to validate the performance.