| 厉超.基于张量法的电力系统状态估计[J].,2018,46(5):27-30. |
| 基于张量法的电力系统状态估计 |
| Power System State Estimation Based on Tensor Method |
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| DOI： |
| 中文关键词: 电力系统 状态估计 张量法 重负荷 收敛性 |
| 英文关键词: power system, state estimation, tensor method, heavy load, convergence properties |
| 基金项目: |
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| 中文摘要: |
| 为了改善在重负荷时状态估计算法的收敛性,论述了3种以张量法为基础的电力系统状态估计新算法.在传统的张量法T1中,将获得的张量修正量参与迭代,提高了状态估计算法的收敛特性.针对传统张量方程无实根,以及无法参与第一次迭代的情况,将改进张量法T2和T3应用于状态估计,通过展开电压和功率方程并直接获取二次项的修正量,使状态估计的收敛性得到改善.本文结合多个IEEE算例仿真,对运行结果进行分析,验证了3种算法的有效性. |
| 英文摘要: |
| In order to improve the convergence properties of state estimation algorithm with heavy load, this paper presents three new methods based on tensor method. By obtains the tensor corrections involved in the iteration Traditional method T1 improves convergence properties. In terms of tensor equation may have imaginary roots and cannot be involved in the first iteration, this paper applies improved tensor methods T2 and T3 to state estimation to improve the convergence of state estimation by expanding the voltage and power equations and direct access quadratic correction amount. Compared results of multiple IEEE test systems demonstrate the effectiveness of the proposed approaches. |
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