【摘要】 提出了一种基于多源混合数据的主动配电网鲁棒三相状态估计方法。首先，该方法考虑多源监控与数据采集系统、相量量测单元和高级量测体系数据的不同量测特性，建立了各三相量测-状态模型；然后，通过计算监控与数据采集系统、相量量测单元数据的最佳缓冲长度，将监控与数据采集系统、相量量测单元和高级量测体系数据进行量测断面归一化处理；最后，基于指数权鲁棒状态估计方法，提出了基于多源混合数据的主动配电网鲁棒三相状态估计方法。基于构建的IEEE-13节点主动配电网对本文所提方法进行仿真，仿真结果表明所提方法相对传统的加权最小二乘法鲁棒性好且精度更高。更多还原

【Abstract】 The paper proposes a robust three-phase state estimation method for active distribution network based on multi-source mixed data. Firstly, a three-phase measurement-state model is established with the method by considering the different measurement characteristics of multi-source monitoring and data acquisition system, phasor measurement unit and advanced measurement system.Then by calculating the optimal buffer length of data from the monitoring and data acquisition system and the phasor measurement unit,the data from the monitoring and data acquisition system,the phasor measurement unit, and the advanced measurement system are normalized. Finally,the multi-source mixed data based robust three-phase state estimation method for the active distribution network is proposed based on the exponential weighted robust state estimation method. The simulation is conducted based on the constructed IEEE 13-node active distribution network, the results show that the proposed method is more robust and accurate than the traditional weighted least square method.更多还原