基于不可观测深度的分阶段PMU配置算法

首先介绍了不可观测深度的概念，然后提出混合运用广域测量系统和能量管理系统的数据进行线性状态估计的方法以弥补PMU量测的不足，以此作为在系统不完全可观条件下进行PMU配置的前提。不完全可观系统PMU配置模型能处理如通信条件限制、已配置了部分PMU等约束条件，并能用0-1线性整数规划模型求解。文章最后提出了PMU分阶段配置的方法，并在新英格兰测试系统和浙江电网中进行了验证。结果表明，PMU分阶段优化配置能有效减少初期费用，并且随着系统不可观测深度的降低，线性状态估计的效果更好。

Staged PMU Placement Algorithm Based on Depth of Unobservability

In this paper firstly the concept of depth of unobservability is presented, then it is proposed to conduct linear state estimation (LSE) by hybrid application of the data from energy management system (EMS) and wide area measurement system (WAMS) to remedy the insufficiency of PMU measurement, which is taken as the presupposition for PMU placement under the condition that the system is not completely observable. The PMU placement model for incompletely observable system can deal with the constraint conditions such as the restriction of communication conditions and PMUs partially placed, etc., and can be solved by 0-1 integer liner programming. Finally, a staged PMU placement method is given and validated by New England test system and Zhejiang power grid. Simulation results show that the staged optimal placement of PMU can effectively reduce initial cost, and along with the decreasing of the depth of unobservability, a better effect of linear state estimation can be obtained.