中文摘要：

双馈型风电机组的无功调节范围随其有功功率输出变化而存在波动性,极端条件下,又有其不可调节性,由此必然降低其对自身电压水平支撑的持续性。为此,在依据功率估算数据对风电场输出功率分布特性进行统计分析的基础上,提出考虑风功率分布特性的风电场无功补偿容量优化决策方法。该方法在充分计及双馈感应发电机无功调节能力与风功率分布特性的前提下,以无功补偿的投资成本与运行成本最小化为目标,构建无功补偿容量优化计算模型。该研究可使双馈型风电场的无功补偿决策更具针对性,并以最小代价实现该类风电场连续、无缝的无功电压调节。应用改进粒子群优化算法对所构建算例系统进行求解,分析结果表明了该研究的有效性。

英文摘要：

The reactive power range of a doubly fed induction generator （DFIG） wind turbine fluctuates with its active power output, and it may become uncontrollable under some extreme conditions. As such, DFIG wind turbines ability for sustainable voltage support will be affected adversely. An optimization method for determining the reactive power compensation capacity is proposed, on the basis of statistical analysis of wind power distribution characteristic by using estimated power data. Considering the wind power distribution characteristic and the wind turbine reactive power capacity, an optimization model is built to minimize both the total cost of operation and reactive power compensation. The method can be used for decision-making in the reactive power compensation of wind farm, and realize continuous and seamless reactive voltage regulation for wind farms at minimum cost. An improved particle swarm optimization （PSO） is developed to solve the optimization problem. The model is proved to be effective.