机组间偏航和有功功率综合协调的海上风电场增效方法

发布时间：2018-04-23 04:25

本文选题：风电场 + 有功功率控制　；参考：《电力系统自动化》2017年07期

【摘要】：以海上风电场风向和风速较稳定,尾流效应对风电场功率影响明显为背景,综合协调机组间偏航角、有功功率,改善机组间气动耦合,提高各机组有功功率之和。给出了考虑偏航的尾流模型,克服了经典尾流模型边界处不连续导致风电场功率优化困难的问题。然后建立以机组偏航角和诱导因子为调节手段的风电场有功功率优化模型。继而,基于尾流传播路径,对机组进行分群,将风电场整场优化问题转化为各群内部优化问题,减少优化对象数,降低问题规模。重点结合在线仿真和机器学习技术,提出各群内部功率优化问题求解方法。最后将优化结果整定为机组参考有功功率和参考偏航角,各机组据此运行。该方案计算开销小,无需额外增加风电场控制系统计算资源,对通信环境无特殊要求,同时,仿真结果表明,提出的方案能有效提升海上风电场有功功率,提高风电场经济效益。
[Abstract]:Based on the steady wind direction and wind speed of offshore wind farm and the obvious influence of wake effect on wind farm power, the yaw angle and active power among units are comprehensively coordinated to improve the aerodynamic coupling between units and to increase the sum of active power among units. A wake model considering yaw is given, which overcomes the difficulty of wind farm power optimization caused by the discontinuity at the boundary of the classical wake model. Then a wind farm active power optimization model based on yaw angle and induction factor is established. Then, based on the wake propagation path, the unit is divided into groups, and the whole field optimization problem of wind farm is transformed into the internal optimization problem of each cluster, which reduces the number of optimization objects and reduces the scale of the problem. Combined with online simulation and machine learning techniques, a method for solving power optimization problems in each group is proposed. Finally, the optimized results are determined as the reference active power and yaw angle of the units, and the units are operated accordingly. The calculation cost of the scheme is small, and the calculation resources of the wind farm control system are not needed, and there is no special requirement for the communication environment. The simulation results show that the proposed scheme can effectively enhance the active power of offshore wind farm. Improve the economic efficiency of wind farm.
【作者单位】：湘潭大学信息工程学院;湖南省风电装备与电能变换协同创新中心;湘电新能源有限公司;

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