摘要
为了提高比例新能源接入配电网状态估计的精度,设计了一个基于大数据的高比例新能源接入配电网状态估计方法。首先进行量测变换,然后对状态量修正量求解,最后在电力系统状态估计模型中引入等式约束,以此完成配电网状态的估计。实验结果表明,所研究的基于大数据的高比例新能源接入配电网状态估计方法在状态估计中具有较高的估计精度,并且在较短时间内就能够实现状态估计,满足方法的设计需求。
In order to improve the accuracy of the state estimation of the proportion of new energy sources connected to the distribution network,a method for state estimation of the high proportion of new energy sources connected to the distribution network based on big data is designed.First,the measurement transformation is carried out,and then the state quantity correction quantity is solved.Finally,equation constraints are introduced into the power system state estimation model to complete the state estimation of the distribution network.The experimental results show that the studied state estimation method for high-proportion new energy access distribution network based on big data has high estimation accuracy in state estimation,and the state estimation can be realized in a short time,which satisfies the design of the method.demand.
作者
刘文亮
LIU Wenliang(State Grid Fujian Electric Power Co.,Ltd.Xiamen Electric Supply Company,Xiamen,Fujian 361000,China)
出处
《自动化与仪器仪表》
2021年第12期49-52,共4页
Automation & Instrumentation
基金
国网福建省电力有限公司科技项目“基于多源数据融合的配电网运行状态估计与故障智能诊断关键技术研究”(521340170008)。
关键词
高比例
新能源接入
配电网
状态估计
high proportion
new energy access
distribution network
state estimation
