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Research on PMU/SCADA mixed measurements state estimation algorithm with multi-constraints

机译:多约束的PMU / SCADA混合测量状态估计算法研究

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摘要

Since the actual status of coexist of supervisory control and data acquisition system (SCADA) and phasor measurement unit (PMU), precision of traditional power system state estimation without PMU phasor is low. A new algorithm based on PMU/SCADA mixed measurements is proposed. Constraints of zero-injection nodes and PMU measurements are taken into estimation equation, and the optimal estimation under double constraints can be derived by optimization theory of Lagrange multipliers method. Simulation results of ship integrated power system show that multi-constraints of mixed measurements are fully utilized in this algorithm, precision of state estimation is improved significantly and real-time can also be guaranteed within a certain range.
机译:由于监视控制和数据采集系统(SCADA)与相量测量单元(PMU)并存的实际状态,传统的没有PMU相量的电力系统状态估计的精度较低。提出了一种基于PMU / SCADA混合测量的新算法。将零注入节点的约束和PMU测量值纳入估计方程,并利用拉格朗日乘数法的优化理论推导双重约束下的最优估计。舰船集成电力系统的仿真结果表明,该算法充分利用了混合约束的多约束,状态估计的精度大大提高,并且可以在一定范围内保证实时性。

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