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作 者:张猛 李瑾 ZHANG Meng;LI Jin(State Grid Ezhou Electric Power Supply Company,Ezhou 436000 China)
出 处:《自动化技术与应用》2024年第8期50-54,共5页Techniques of Automation and Applications
基 金:国家电网湖北公司科技项目(5100-2022011A-0-0-00)。
摘 要:在实际运行的电气综合系统中,容易产生少量拓扑错误,影响状态估计的效果,为了提高电气综合系统状态的估计精度,提出电气综合系统能源抗差状态自动化估计方法。建立天然气系统模型和电力子系统稳态模型,并在该模型基础上构建电气耦合模型,分析电力综合系统的运行状态和运行特点。根据Pseudo-Huber函数利用量测变化抑制电气综合系统中存在的坏数据和不良数据,获取电气综合系统能源抗差状态的初值和伪量值,最后通过无迹卡尔曼滤波方法实现电气综合系统能源抗差的自动化估计。实验结果表明,所提方法在系统不良数据比例下的节点电压幅值估计误差较小,可高精度完成抗差状态估计,具有较好的自动化估计效果。In the actual operation of the electrical integrated system,it is easy to produce a small number of topology errors,which affect the effect of state estimation.In order to improve the estimation accuracy of the state of the electrical integrated system,an automatic estimation method of the energy robust state of the electrical integrated system is proposed,and the natural gas system model and the steady-state model of the power subsystem are established.Based on this model,an electrical coupling model is constructed to analyze the operation state and operation characteristics of the power integrated system.According to the pseudohuber function,the measurement changes are used to suppress the bad data and bad data in the electrical integrated system,and the initial value and pseudo value of the energy robust state of the electrical integrated system are obtained.Finally,the automatic estimation of the energy robust of the electrical integrated system is realized by the unscented Kalman filter method.The experimental results show that the proposed method has less error in the estimation of node voltage amplitude under the proportion of bad data in the system,and can complete the robust state estimation with high accuracy,which has a good effect of automatic estimation.
关 键 词:电气综合系统 Pseudo-Huber函数 抗差状态估计 量测变化 无迹卡尔曼滤波方法
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