面向高精度状态感知的配电系统微型同步相量测量单元优化配置

可再生能源、电动汽车等大量无序接入使得配电系统运行在越来越复杂和不确定的工况中,迫切需要高精度实时状态感知以实现弹性提升,然而现有的配电量测系统远不能满足新一代配电系统对网络状态进行实时感知的要求。为此,提出了一种面向高精度状态感知的配电系统微型同步相量测量单元(micro-phasor measurement units,μPMU)优化配置方法。首先,在高级量测体系(advancedmeasurement infrastructure,AMI)满足网络可观测的基础上,以状态估计均方误差最小为目标,以任意一致的系统运行状态作为参数代入状态估计误差协方差矩阵,建立了μPMU优化配置模型;其次,通过对增益矩阵进行Cholesky分解,将目标函数采用决策变量显式表达出来,从而可采用成熟的商业求解器快速获得高质量的可行解;最后,采用IEEE33节点和69节点配电系统进行测试,验证了所提方法的有效性。

Placement of Micro-phasor Measurement Units in Distribution Systems for Highly Accurate State Perception

Integration of large amount of distributed energy and electric vehicles makes modern distribution systems operate under more and more complicated conditions, resulting in urgent need of highly accurate real-time perception for resilience enhancement. However, measurement infrastructure nowadays is still far from meeting real-time state perception requirement. This paper proposes a novel method for placement of micro-phasor measurement units(μPMUs) in distribution systems for highly accurate state perception. Firstly, the μPMU placement problem is formulated by minimizing the mean squared error of distribution system state estimation while randomly selecting one operating point to extract parameters of covariance matrix of state estimation errors. Then objective function is expressed explicitly with decision variables by executing Cholesky decomposition on gain matrix. Therefore, commercial solvers can be adopted to obtain high quality feasible solutions in an efficient manner. Finally, IEEE 33 and 69 bus distribution systems are used to validate effectiveness of the proposed method.