论文标题
使用电路理论方法的基于WLAV的强大混合状态估计
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach
论文作者
论文摘要
为了获得可靠且安全的电网操作，交流电估计（ACSE）必须提供某些融合的保证，同时抵抗坏数据。本文开发了基于电路理论加权的最小绝对值（WLAV）混合动力ACSE，它满足这些需要克服现有ACSE方法的某些局限性。混合动力是指包含RTU和PMU测量数据，使用LAV目标函数可以自动拒绝不良数据，同时清楚地识别了稀疏残留矢量的可疑测量结果。利用在电路理论方法中测量模型的线性构造，提出的混合SE被提出为LP问题，并保证了收敛性。为了解决效率，我们进一步开发了特定问题的启发式方法，以进行快速收敛。为了验证所提出方法的功效，我们在大型病例上运行ACSE，并将结果与基于WLS的算法进行比较。通过比较运行时和收敛性能，我们进一步证明了解决方案方法与标准商业LP求解器相比。
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.
