| 稀疏技术在电力系统状态估计中的应用 |
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| 引用本文： | 徐得超,李亚楼,吴中习. 稀疏技术在电力系统状态估计中的应用[J]. 电网技术, 2007, 31(8): 32-36 |
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| 作者姓名： | 徐得超 李亚楼 吴中习 |
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| 作者单位： | 中国电力科学研究院,北京市,海淀区,100085 |
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| 摘 要： | 研究了电力系统状态估计中稀疏技术的应用方法。首先根据因子矩阵和消去树，讨论了稀疏向量法。然后基于给定的稀疏矩阵存储方法和符号因子化技术，提出了一种采用稀疏向量法进行LDLT分解的算法，最后结合量测残差方差计算给出了两种应用稀疏技术计算的方法。算法的有效性在IEEE 118和IEEE 300系统上得到了验证。
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| 关 键 词： | 状态估计 稀疏矩阵 符号因子化 稀疏向量法 LDLT分解 |
| 文章编号： | 1000-3673（2007）08-0032-05 |
| 修稿时间： | 2007-01-04 |
Application of Sparse Techniques in Power System State Estimation |
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| XU De-chao,LI Ya-lou,WU Zhong-xi. Application of Sparse Techniques in Power System State Estimation[J]. Power System Technology, 2007, 31(8): 32-36 |
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| Authors: | XU De-chao LI Ya-lou WU Zhong-xi |
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| Affiliation: | China Electric Power Research Institute, Haidian District, Beijing 100085, China |
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| Abstract: | The approaches of applying sparse techniques power system state estimation are researched. Firstly, sparse vector method is discussed by factor matrix and elimination tree; then, based on given sparse matrix data structure and symbolic factorization, an algorithm in which sparse vector method is adopted to decompose LDLT is proposed; finally, combining with residuals variance calculation, two kinds of methods which apply sparse techniques in calculation are given. The effectiveness of the proposed algorithm is verified by IEEE 118-bus system and IEEE 300-bus system. |
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| Keywords: | power system state estimation sparse matrix symbolic factorization sparse vector method LDLT decomposition |
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