| 引用本文: | 孙江山,刘敏,邓磊,应丽云.电力系统分区和解耦状态估计研究综述[J].电力系统保护与控制,2018,46(10):162-169.[点击复制] |
| SUN Jiangshan,LIU Min,DENG Lei,YING Liyun.Review of the research on the partition and decoupled state estimation of power system[J].Power System Protection and Control,2018,46(10):162-169[点击复制] |
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| 摘要: |
| 电力系统状态估计已经成为电网EMS/DMS监测与控制的核心功能之一。有效的状态估计方法可以提高状态估计的精度、提升计算效率及改善估计结果的数值稳定性。首先介绍了当前电网分区准则，分析了各类分区方法需要研究的核心问题，并对基于网络拓扑和地理位置、AMI、MAS的电力系统分区状态估计的优缺点进行评述。然后从提高区域内部输配电网计算速度角度，指出基于快速解耦和相序解耦方法是处理当前三相平衡与三相不平衡系统的状态估计的有效解决方案。最后总结了分区和解耦状态估计研究存在的问题，并对今后进一步的研究方向提出建议。 |
| 关键词: 状态估计 分区 解耦 AMI MAS |
| DOI：10.7667/PSPC170753 |
| 投稿时间：2017-05-19修订日期：2017-07-15 |
| 基金项目:贵州省科学技术基金项目(黔科合J字[2012]2157号);贵州大学研究生创新基金(研理工2017064) |
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| Review of the research on the partition and decoupled state estimation of power system |
| SUN Jiangshan,LIU Min,DENG Lei,YING Liyun |
| (College of Electrical Engineering, Guizhou University, Guiyang 550025, China) |
| Abstract: |
| Power system state estimation has been one of the heart function of monitoring and control in power grid EMS/DMS. The correct methods of SE not only improve the accuracy and calculation efficiency of state estimation, but also enhance the numerical stability of estimation results. Firstly, the current grid partition criterions are introduced. And the core research problems of various partition methods are analyzed. Moreover, the advantages and disadvantages of power system partition state estimation based on network topology and geographical location, AMI and MAS are reviewed. After that, the state estimation based on the fast decoupling and the phase sequence decoupling are the current effective solution for handling the state estimation of three-phase balance and three-phase unbalanced power system from the point of view of increasing the calculation speed of regional transmission and distribution network. Finally, the existing research problems on the partition and decoupling of state estimation are summarized, then some suggestions for further research are proposed. This work is supported by Science and Technology Foundation of Guizhou Province (No. [2012]2157) and Innovation Foundation for Graduates of Guizhou University (No. 2017064). |
| Key words: state estimation partition decoupling AMI MAS |
