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Active distribution system state estimation incorporating photovoltaic generation system model

机译:具有光伏发电系统模型的主动分配系统状态估计

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摘要

The inherently intermittent and varying power generation of distributed energy resources (DER) makes the situational awareness of active distribution systems (ADS) a challenging issue. Considering the detailed photovoltaic (PV) system model and environmental influencing factors including solar irradiance and temperature, this paper develops a state estimation model for the ADS with integrated PV power generation systems. Firstly, in order to achieve high computational efficiency, an explicit function fitting model of PV arrays is proposed and used to accurately approximate the conventional five-parameter model. Then, the state variables of a PV generation system are selected, and the measurement equations and the Jocobian matrix are derived. Finally, combined with the conventional distribution network model, state estimation and bad data processing of an ADS with PV systems are realized. A generalized per unit system is also developed for unified standardization of electrical and non-electrical quantities. Simulation results in the IEEE 33-bus system show that the proposed model significantly expands the scopes and capabilities of state estimation and bad data processing in ADSs, which facilitates comprehensive and reliable monitoring of ADSs.
机译:分布式能源(DER)的固有间歇性和变化的发电使得活动分配系统(广告)的态势意识是一个具有挑战性的问题。考虑到详细的光伏(PV)系统模型和环境影响因素,包括太阳辐照度和温度,开发了具有集成光伏发电系统的广告的状态估计模型。首先,为了实现高计算效率,提出了一种PV阵列的显式功能拟合模型,并用于准确地近似传统的五参数模型。然后,选择PV生成系统的状态变量,并且导出测量方程和延线矩阵。最后,结合传统的分发网络模型,实现具有PV系统的广告的状态估计和坏数据处理。还开发了每单位系统的广义,用于统一的电气和非电量标准化。 IEEE 33-Bus系统中的仿真结果表明,该建议的模型显着扩展了国家估算的范围和功能,以及广告中的数据处理的不良数据处理,便于对广告的全面和可靠的监控。

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