考虑双馈机组无功调节能力的海上风电场无功优化

发布时间：2018-09-10 11:26

【摘要】：针对目前海上风电场运行时大量无功传输会引起有功损耗增加的问题,分析了海上风电场集电系统各电气设备的无功特性,以及双馈风电机组(doubly fed induction generator,DFIG)无功出力约束、风速变化对风电场内部无功潮流影响,提出了在保证最大风能利用的前提下将双馈风力发电机组作为连续无功源参与风电场无功补偿的方式,在保证风电场内部节点电压质量的前提下同时获得风电场内部网损最小的目标。以各风电机组的无功实时输出值为控制对象,将风电场无功优化问题转换为一个多变量、多约束的非线性混合优化问题,并采用粒子群优化算法(particle swarm optimization algorithm,PSO)进行求解。算例结果验证了该方法的有效性。
[Abstract]:In view of the problem that a large amount of reactive power transmission in offshore wind farm operation will lead to the increase of active power loss, the reactive power characteristics of each electrical equipment in the offshore wind farm collecting system and the reactive power constraint of the doubly-fed wind turbine (doubly fed induction generator,DFIG are analyzed. The influence of wind speed change on the reactive power flow in wind farm is proposed. Under the premise of ensuring the maximum utilization of wind energy, the doubly-fed wind turbine is used as a continuous reactive power source to participate in the reactive power compensation of wind farm. On the premise of ensuring the voltage quality of the inner node in the wind farm, the goal of minimum network loss in the wind farm is obtained simultaneously. The reactive power optimization problem of wind farm is transformed into a multi-variable, multi-constrained nonlinear hybrid optimization problem, and the particle swarm optimization algorithm (particle swarm optimization algorithm,PSO) is used to solve the problem. The effectiveness of the proposed method is verified by an example.
【作者单位】：上海电力学院电气工程学院;
【基金】：国家自然科学基金项目(51177098)~~
【分类号】：TM614

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