Wind farms integration into power system with improved location and stability problem solving

• Date: 2025
• Main Authors: Hafaiedh, H., Saoudi, Y., Benamor, A., Chrifi–Alaoui, L.
• Format: Article
• Language: English
• Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Subjects: squirrel cage induction generator; doubly fed induction generator; best location of wind farms; IEEE 14 bus network
• Online Access: http://eie.khpi.edu.ua/article/view/331025
• Journal Title: Electrical Engineering & Electromechanics

Problem. This article investigates as a consistent supply to satisfy rising world energy consumption, wind energy is becoming more and more important. Correct evaluation of the stability and performance of wind induction generators inside power systems remains difficult, particularly in regard to ensuring compliance with grid rules and best location. Goal. To evaluate and compare the dynamic behavior and grid compatibility of the squirrel cage induction generator (SCIG) and the doubly fed induction generator (DFIG) wind generators in various locations within the IEEE 14 bus network, and to determine the improved generator type and location. Methodology. The investigation adopts the small signal stability analysis for modeling the wind induction turbines due to its capability to assess system stability, controllability and observability. The IEEE 14 bus distribution network is modeled with wind generators interconnected at buses 10 through 14. Several parameters are analyzed under different operating conditions, including voltage, rotor angle, active power, reactive power and frequency. Results. DFIG exhibits superior performance across all analyzed parameters, particularly in maintaining grid stability and meeting grid code requirements. Bus 13 was identified as the improved integration point for wind farms using DFIG technology. Scientific novelty. The study offers a structured comparison of SCIG and DFIG using state space modeling rarely applied in a direct bus by bus comparative study within a standard distribution network. Practical value. The results help system planners choose the right wind turbine type and location, which promotes a more reliable and effective integration of renewable energy sources into power networks. References 51, tables 5, figures 7.