Robustness Analysis of Dynamic Equivalent Model of DFIG Wind Farm for Stability Study

• Published in: IEEE transactions on industry applications Vol. 54; no. 6; pp. 5682 - 5690
• Main Authors: Zhou, Yuhao, Zhao, Long, Lee, Wei-Jen
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Benchmarks; Computer simulation; Control stability; Doubly fed induction generators; Doubly fed induction generators (DFIG) wind farm; dynamic equivalent model; Dynamic equivalents; Dynamic stability; Electricity distribution; Equivalence; Firearm accidents & safety; Genetic algorithms; Heuristic algorithms; hybrid improved-particle swarm optimization genetic algorithm (PSO-GA); Induction generators; Optimization; Parameter identification; parameters identification; Particle swarm optimization; Power system dynamics; Process parameters; Robustness; robustness analysis; Stability analysis; Systems stability; Test systems; Wind farms; Wind power; Wind power generation
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2018.2858738

With the wind power energy largely interconnected with power grid, it is necessary to develop a robust dynamic equivalent model of the wind farm for the system stability analysis and control. In this paper, a detailed wind farm model with doubly fed induction generators is established according to Western Electricity Coordinating Council benchmark test system. Then, the parameters identification process based on aggregation technique consisting of a hybrid algorithm combined improved-particle swarm optimization with improved-genetic algorithm is proposed for dynamic equivalent model development by using the measurement data from phasor measurement unit at the point of interconnection. Additionally, the robustness of the developed equivalent model is analyzed. The simulation results of the benchmark test system and IEEE-9 bus system demonstrate the effectiveness and robustness of the proposed equivalent modeling and identification methodology.