基于融合信息的风电场集群有功优化调度与控制研究

W. Gang, Wu Xingquan, L. Xiaohu, Wang Chengfu
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引用次数: 1

摘要

提出了一种新的基于融合信息的风电场集群有功功率调度控制方法,在把握和利用风电场之间的相关性的基础上,实现总弃电和总缺电的最小化,同时满足电力系统调度指令要求的单个风电场输出和集群总风力的最大化。将风电功率预测、储能调节、调度指令和风电机组情况混合在一起。然后,根据不同时间尺度的风电预测修正调度指令,通过高精度单点预测优化储能和风力发电机组的调节。仿真结果表明,与单个风电场的调度相比,本文提出的方法有助于提高调度的效率和经济性。
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Study on optimal dispatch and control of active power for wind farm cluster based on the fusion information
A new dispatch and control method for active power of wind farm clusters based on fusion information is proposed, which minimizes the total power curtailment and total power shortage, on the base of grasping and using the correlation among wind farms, and also maximum output for a single wind farm and total wind power of the cluster fulfilling the requirements of the power system dispatch instruction. Wind power forecast, energy storage regulation, dispatch instruction and the situation of wind turbines among the wind clusters are all blended. And then, to amend the dispatch instruction according to the wind power forecast of different time scale, and optimize the regulation of energy storage and wind turbines by the high precision single point forecast. The simulation result shows that compared with the regulation of a single wind farm, the method proposed in this paper is useful for improving the efficiency and economy for the regulation.
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