| 基于降阶雅可比矩阵的电力系统状态估计可观测性分析方法 |
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| 引用本文： | 王珍意,周良松,张步涵. 基于降阶雅可比矩阵的电力系统状态估计可观测性分析方法[J]. 电力系统保护与控制, 2005, 33(10): 1-5 |
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| 作者姓名： | 王珍意 周良松 张步涵 |
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| 作者单位： | 华中科技大学电气与电子工程学院, 湖北武汉430074 |
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| 摘 要： | 提出了一种新的基于降阶网络雅可比矩阵的电力系统状态估计可观测性分析方法。该方法利用潮流岛内未知状态量最多是一个复电压的特性,提出了潮流岛状态变量的概念,在降阶网络雅可比矩阵基础上成功地实现了基于潮流定解条件的潮流岛合并。该方法减少了未知状态变量的数量,从而简化了循环判断过程和便于程序设计。并通过实例对所提出的方法进行了有效性检验。
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| 关 键 词： | 状态估计 可观测性分析 潮流岛 降阶网络雅可比矩阵 |
| 文章编号： | 1003-4897(2005)10-0001-04 |
| 修稿时间： | 2004-09-15 |
Observability analysis of power system state estimation based on reduced Jacobian matrix |
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| WANG Zhen-yi,ZHOU Liang-song,ZHANG Bu-han. Observability analysis of power system state estimation based on reduced Jacobian matrix[J]. Power System Protection and Control, 2005, 33(10): 1-5 |
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| Authors: | WANG Zhen-yi ZHOU Liang-song ZHANG Bu-han |
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| Abstract: | A new observability analysis algorithm for power system state estimation based on reduced network Jacobian matrix is proposed. Based on the fact that there is not more than one unknown complex voltage in a flow island, this method puts forward the idea of state variable of flow island, and realizes combining flow islands successfully according to the reduced Jacobian matrix. It reduces the amount of unknown variables and simplifies the recycling process of judgement, and it is easy to be programmed. Its effectiveness is proved with examples. |
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| Keywords: | state estimation observability analysis flow islands reduced network Jacobian matrix |
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