摘要
大规模风电并网降低了电力系统惯量水平,增加了其暂态频率偏差的越限风险,然而现有频率预测模型对含风电系统的在线预测速度和精度都还不够,故需进一步优化频率偏差极值预测方法,用以系统的频率稳定评估。文章基于广域量测技术(wide area measurement system,WAMS),考虑风电并网对频率响应过程的影响,提出了一种物理-数据融合频率偏差极值在线预测方法。首先,利用广域量测信息对有功-频率开环解耦模型进行数据粘合,在此基础上形成可快速求解的物理-数据融合的暂态频率分析模型;其次,基于该模型,获得实时更新的频率偏差极值预测值,并提出“预测值误差指数”指标来量化预测精度,指导在线模型的自适应动态结果输出;最后,通过算例验证了所提频率偏差极值在线预测方法的快速性和准确性。
A large-scale wind power grid connection reduces the level of inertia in a power system and increases the outof-limit risk of transient frequency deviations.However,the existing frequency prediction models are not suitable for a fast and highly accurate online prediction of wind power system characteristics.Therefore,further optimizing the extreme value prediction method that predicts frequency deviations is necessary for evaluating the frequency stability of such systems.This paper introduces an online prediction method for predicting the frequency deviation extremum based on physical data fusion;this method is based on a wide-area measurement system and considers the influence of the wind power grid connection on the frequency response process.First,a transient frequency analysis model of physical data fusion was developed based on data bonding of the open-loop decoupling model of active power and frequency using wide-area measurement information.Second,the predicted extreme value of frequency deviation is updated in real-time using the model.A“prediction value error index”is proposed to quantify the prediction accuracy and guide the adaptive dynamic output of the online model.Finally,an example is provided to verify the prediction speed and accuracy of the extremum frequency deviation predicted by the proposed online prediction method.
作者
张钢
邓贤哲
马晓伟
柯贤波
姚伟
施秀萍
文劲宇
宗启航
ZHANG Gang;DENG Xianzhe;MA Xiaowei;KE Xianbo;YAO Wei;SHI Xiuping;WEN Jinyu;ZONG Qihang(Northwest Branch of the State Grid Corporation of China,Xi’an 710048,China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology),Wuhan 430074,China;C-EPRI Electric Power Engineering Company Limited,Beijing 102200,China)
出处
《电力建设》
CSCD
北大核心
2023年第8期1-12,共12页
Electric Power Construction
基金
国家电网公司总部科技项目“高比例新能源电力系统惯量和一次调频能力量化研究”(5100-202255328A-2-0-YS)。
关键词
广域量测技术
频率偏差极值
物理-数据融合
在线预测
频率分析模型
wide-area measurement technology
extreme value of frequency deviation
physical data fusion
online forecasting
frequency analysis model
