摘要
采用目前方法对太阳能发电系统的稳定性进行控制时,无法获取控制器上的控制律,故障预测结果出现偏差,导致现有方法存在波动大、振荡次数多和容错性差的问题。提出基于主动容错滑膜预测的太阳能发电稳定性全局控制方法。利用灰色预测模型预测太阳能发电系统中存在的故障,据此获得控制器的控制律后,建立主动容错滑膜控制器,对太阳能发电系统进行全局控制,以提高太阳能发电系统的稳定性。实验结果表明:在发电机电压突然上升工况下,所提方法可在3 s之内使发电机端电压增量稳定在1.1 V,在4.5 s内使发电机功角稳定在20 rad;在线路三相短路工况下,所提方法可在2 s之内使发电机端电压增量稳定在1.0 V,同一时间内发电机功角稳定在60 rad。所提方法的临界切除时间最低为0.167 s,最高为0.190 s,与文献方法相比,临界切除时间更高,说明该方法的容错性更好。
When the current method is used to control the stability of the solar power generation system,the control law on the controller cannot be obtained,and the fault prediction results are biased,resulting in large fluctuation,many oscillation times and poor fault tolerance.This paper proposes a global control method of solar power generation stability based on active fault tolerant synovial membrane prediction.The grey prediction model is used to predict the faults in the solar power generation system,thereupon the control law of the controller is obtained.Based on the control law,an active fault-tolerant synovial controller is established to control the solar power generation system globally and improve the stability of the solar power generation system.The experimental results show that under the condition of sudden rise of generator voltage,the proposed method can stabilize the voltage increment of generator terminal at 1.1 v within 3 s and the power angle of the generator is kept stable at 20 rad within 4.5s.Under the condition of three-phase short circuit,the proposed method can stabilize the voltage increment at the generator terminal at 1.0 v within 2s and at the same time,the power angle of the generator is kept stable at 60 rad.The minimum critical resection time of the proposed method is 0.167 s and the maximum is 0.190 s.Compared with the literature methods,the critical resection time is higher,indicating that this method has better fault tolerance.
作者
徐炫东
廖嘉炜
XU Xuandong;LIAO Jiawei(Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510000,Guangdong,China)
出处
《电网与清洁能源》
CSCD
北大核心
2024年第2期142-148,共7页
Power System and Clean Energy
基金
广东电网有限责任公司科技项目(C5321825K018)。
关键词
主动容错滑膜控制
灰色预测模型
故障预测
太阳能发电系统
稳定性控制
active fault-tolerant sliding film control
gray prediction model
fault prediction
solar power generation system
stability control
