| 引用本文: | 丁宏恩,戴则梅,霍雪松,等.基于混合量测的二次线性状态估计方法及其工程应用[J].电力系统保护与控制,2016,44(13):163-170.[点击复制] |
| DING Hongen,DAI Zemei,HUO Xuesong,et al.Hybrid measurement based secondary linear state estimation method and its engineering application[J].Power System Protection and Control,2016,44(13):163-170[点击复制] |
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| 摘要: |
| 基于相量测量单元(PMU)和数据采集与监控(SCADA)混合量测进行状态估计计算时，如果仍采用传统非线性估计模型，将面临PMU量测计算权值难以确定、PMU量测坏数据辨识不准、相角参考点和成熟商用程序改动等多方面问题。提出了一种基于混合量测的二次线性状态估计方法。该方法在传统非线性状态估计收敛后，利用其结果中的各节点电压幅值及相角估计值和PMU相量量测再进行二次线性状态估计计算，有效解决了上述问题。最后结合电网实例验证了该方法的有效性。 |
| 关键词: 状态估计 PMU量测 坏数据处理 计算权值 相角参考点 |
| DOI：10.7667/PSPC151409 |
| 投稿时间：2015-08-11修订日期：2015-11-03 |
| 基金项目:江苏省电力公司科技项目 |
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| Hybrid measurement based secondary linear state estimation method and its engineering application |
| DING Hongen,DAI Zemei,HUO Xuesong,ZHOU Jieying,XU Xiuzhi,LÜ Yang,YU Yu |
(State Grid Suzhou Power Supply Company, Suzhou 215004, China;NARI Group Corporation State Grid Electric
Power Research Institute, Nanjing 211106, China;State Grid Jiangsu Electric Power Company, Nanjing 210024,
China;State Electric Power Dispatching Center of China, Beijing 100031, China) |
| Abstract: |
| In the state estimation based on hybrid measurement of the phasor measuring unit (PMU) and supervisory control and data acquisition (SCADA), once calculations are based on the traditional nonlinear model, it will face some problems such as difficult to determine PMU measurement calculated weight, inaccurately processing of PMU measurement bad data, the change of phase angle reference point and mature commercial program, etc. In order to solve the above problems, this paper proposes a new secondary linear state estimation method with hybrid measurement. This method uses the voltage amplitude of each node and phase angle estimation of the result based on the convergence of traditional nonlinear state estimation and the PMU measurement to re-calculate the secondary linear state estimation. The effectiveness of the method proposed is illustrated using actual example. |
| Key words: state estimation phasor measurement unit (PMU) measurement bad data process weight calculation reference point |
