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基于加速异步分布式控制的双馈风电机组与尾流风电场集电系统损耗最小化
An accelerated asynchronous distributed control for DFIG wind turbines and collection system loss minimization in waked wind farm
| 作者 | Pengda Wang · Jinxin Xiao · Sheng Huang · Qiuwei Wu · Menglin Zhang · Xuan Wu · Feifan Shen · Kuichao Ma |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 377 卷 |
| 技术分类 | 风电变流技术 |
| 技术标签 | 模型预测控制MPC |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | A loss minimization method for wind farm achieved by voltage control is proposed. |
语言:
中文摘要
本文提出了一种通过电压控制策略实现尾流影响下风电场中双馈感应发电机风力发电机组及集电系统损耗最小化的方法,并采用加速异步分布式计算方案。所采用的基于模型预测控制的电压控制策略能够协调发电机的有功功率以及转子侧和电网侧变流器的无功功率,从而最小化风电机组和集电系统的损耗,提高风电场的发电量并延长风电机组的使用寿命。此外,建立了改进的时变动态尾流模型以提高尾流风速计算的准确性,并考虑了由时间延迟描述的尾流传播过程。同时,采用与湍流强度相关的修正方法对下游风速进行修正。引入异步分布式计算方案以提高求解大规模优化问题的效率,并增强对通信延迟和故障的鲁棒性。为进一步加快计算速度,引入了Nesterov加速策略。仿真结果表明,与传统方法相比,所提策略在三种风向条件下平均降低损耗2.78%,电压下降11.84%;相较于传统的分布式计算方案,在通信延迟和故障情况下具有更强的鲁棒性,且迭代次数更少。
English Abstract
Abstract A loss minimization method achieved by voltage control strategy for doubly-fed induction generator wind turbine generators and collection system in waked wind farm with an accelerated asynchronous distributed calculation scheme is proposed in this paper. With the model predictive control-based voltage control strategy used, the active power of generators and reactive power of rotor-side and grid-side converters can be coordinated, and thus the loss of wind turbines and collection system is minimized, which can improve the power generation of wind farm and service lifetime of wind turbines. In addition, a modified time-varying dynamic wake model is established to improve the accuracy of wake wind speed calculation. Further, the wake propagation process described by time delay is taken into consideration. Meanwhile, a correction method related to turbulence intensity is used to modify downstream wind speed. An asynchronous distributed calculation scheme is introduced to improve efficiency of solving the large-scale optimization problem, meanwhile strengthen the robustness to communication delay and failures. To further speed up the computation, the Nesterov acceleration strategy is introduced. Simulations show that compared to the traditional method, the proposed strategy reduces the loss and decreases the voltage by an average of 2.78 % and 11.84 % under the three wind directions, meanwhile owns stronger robustness under communication delay and failures with fewer iterations compared to traditional distributed calculation scheme.
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SunView 深度解读
该分布式优化控制技术对阳光电源风电变流器及智能风场解决方案具有重要价值。文中基于MPC的电压协调控制策略可应用于SG系列风电变流器,通过协调机侧网侧变流器的有功无效功率,降低集电系统损耗2.78%。异步分布式计算方案结合Nesterov加速算法,可集成至iSolarCloud平台实现大规模风场实时优化。尾流模型的时延补偿机制对提升阳光电源风场SCADA系统的预测精度有借鉴意义,该技术框架可扩展至光储电站的多变流器协同控制,优化ST系列储能变流器集群的功率分配与损耗管理。