摘要
针对传统风光场站有功功率波动性大、场站跟踪精度不高的问题,利用光伏响应速度快、调节精度高的特点,提出一种基于光伏实时补偿的优化控制策略。该策略通过计算场站最大可发有功功率,采用自适应滑动滤波算法(Adaptive Exponential Moving Average,AEMA)对理论功率进行处理,提高最大可发有功功率的置信度,降低场站有功功率波动量。同时优化指令计算模块,根据调度、风光运行状态计算和分配风光指令,通过分时下发、分步调节风电和光伏指令值实现风光场站跟踪调度指令。经风光场站现场试验,试验结果表明文中所提控制策略与常规控制策略相比,能有效提升场站调节精度,抑制有功功率波动,具有广泛的应用前景。
To address the issues of large active power fluctuations and low tracking accuracy in traditional wind and solar hybrid energy stations,leveraging the fast response speed and low adjustment cost of photovoltaic(PV)systems,this paper proposes an optimized control strategy based on real-time PV compensation.Firstly,the maximum achievable active power of the station is calculated.An Adaptive Exponential Moving Average(AEMA)algorithm is employed to process the theoretical power,enhancing the confidence level of the maximum achievable active power and reducing the fluctuation in the station's active power.Secondly,optimize the instruction computing module.By controlling the active power of the PV subsystem,and based on the time-misalignment and stepwise adjustment of wind and PV commands,the power deviation required for the tracking and scheduling commands of the wind and solar hybrid energy station is compensated in real-time.Finally,The strategy was tested on-site at wind and solar hybrid power stations.The results show that the proposed control strategy improves the station's regulation accuracy and reduces active power fluctuations compared to conventional strategies,and has broad application prospects.
作者
夏明辉
韩玮
佘超
赵欣怡
连宇成
林忠伟
宋祎凡
周家伟
XIA Minghui;HAN Wei;SHE Chao;ZHAO Xinyi;LIAN Yucheng;LIN Zhongwei;SONG Yifan;ZHOU Jiawei(China Electric Power Engineering Consulting Group China-South Africa Electric Power Design Institute Co.,Ltd.,Wuhan Hubei 433300;School of Control&Computer Engineering,North China Electric Power University,Being 102206;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source,Beijing 102206)
出处
《东北电力大学学报》
2025年第3期100-109,共10页
Journal of Northeast Electric Power University
基金
国家自然科学基金项目(61973114)。
关键词
风光场站
自适应滤波
光伏补偿
实时控制
分时分步
wind and solar hybrid energy station
adaptive filtering algorithm
photovoltaic compensation
real-time control
time-misalignment and stepwise
