基于WLAV的鲁棒混合状态估计电路理论方法
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach
摘要：
为了保证电网的安全可靠运行，交流状态估计（ACSE）必须在保证收敛性的同时，对坏数据具有一定的弹性。本文提出了一种基于电路理论加权最小绝对值（WLAV）的混合ACSE，以满足这些需求，克服现有ACSE方法的一些局限性。混合是指包含RTU和PMU测量数据，并且LAV目标函数的使用能够自动拒绝不良数据，同时从稀疏残差向量中提供可疑测量的清晰识别。利用电路理论方法中测量模型的线性构造，提出的混合SE被表示为保证收敛的LP问题。为了解决效率问题，我们进一步开发了针对特定问题的快速收敛算法。为了验证所提出的方法的有效性，我们运行ACSE的大型情况下，并与基于WLS的算法的结果进行比较。我们进一步证明了我们的解决方案方法的优势，通过比较运行时间和收敛性能的标准商业LP求解器。
英文摘要：
For reliable and secure power grid operation, AC state-estimation (ACSE) must provide certain guarantees of convergence while being resilient against bad-data. This paper develops a circuit-theoretic weighted least absolute value (WLAV) based hybrid ACSE that satisfies these needs to overcome some of the limitations of existing ACSE methods. Hybrid refers to the inclusion of RTU and PMU measurement data, and the use of the LAV objective function enables automatic rejection of bad data while providing clear identification of suspicious measurements from the sparse residual vector. Taking advantage of linear construction of the measurement models in circuit-theoretic approach, the proposed hybrid SE is formulated as a LP problem with guaranteed convergence. To address efficiency, we further develop problem-specific heuristics for fast convergence. To validate the efficacy of the proposed approach, we run ACSE on large cases and compare the results against WLS-based algorithms. We further demonstrate the advantages of our solution methodology over standard commercial LP solvers through comparison of runtime and convergence performance.
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