Optimization Control Strategy for Large Doubly-Fed Induction Generator Wind Farm Based on Grouped Wind Turbine

• Published in: Energies (Basel) Vol. 14; no. 16; p. 4848
• Main Authors: Zhou, Shijia, Rong, Fei, Ning, Xiaojie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2021
• Subjects: Algorithms; Alternative energy sources; Computer applications; Control algorithms; Converters; doubly-fed induction generator (DFIG); Electric power distribution; Electric power grids; Electricity distribution; grouped reactive power control; Induction generators; maximum active power output; Optimization; Proportional control; Reactive power; Turbines; wind farm; Wind farms; Wind power; wind power generation; Wind speed
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14164848

This paper proposes a grouped, reactive power optimization control strategy to maximize the active power output of a doubly-fed induction generator (DFIG) based on a large wind farm (WF). Optimization problems are formulated based on established grouped loss models and the reactive power limits of the wind turbines (WTs). The WTs in the WF are grouped to relieve computational burden. The particle swarm optimization (PSO) algorithm is applied to optimize the distribution of reactive power among groups, and a proportional control strategy is used to distribute the reactive power requirements in each group. Furthermore, the proposed control strategy optimizes the reactive power distribution between the stator and the grid side converter (GSC) in each WT. The proposed control strategy greatly reduces the number of variables for optimization, and increases the calculation speed of the algorithm. Thus, the control strategy can not only increase the active power output of the WF but also enable the WF to track the reactive power dispatching instruction of the power grid. A simulation of the DFIG WF is given to verify the effectiveness of the proposed control strategy at different wind speeds and reactive power references.