Real-Time Reduced Steady-State Model Synthesis of Active Distribution Networks Using PMU Measurements

Abstract

Real-time reduced steady state model synthesis of active distribution networks using PMU measurements. IEEE Transactions on Power DeliveryAccess to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192943 1  Abstract--Due to the increase of generation sources in distribution networks, it is becoming more and more complex to develop and maintain models of these networks. Network operators need to determine reduced models of distribution networks to be used in grid management functions. This paper presents a novel method that synthesizes steady state models of unbalanced active distribution networks by the use of dynamic measurements (time series) from PMUs. As PMU measurements may contain errors and bad data, the paper presents the application of a Kalman Filter technique for real-time data processing. In addition, PMU data captures the power system's response at different time-scales, which are generated by different types of power system events; the presented Kalman Filter has been improved to extract the steady state component of the PMU measurements to be fed to the steady state model synthesis application. Performance of the proposed methods has been assessed by real-time hardware-in-the-loop simulations on a sample distribution network.Index Terms-active distribution network, Kalman Filter (KF), model synthesis, PMU.

Measurement-Based Network Clustering for Active Distribution Systems

“…As mentioned before, the proposed NC method makes use of a PMU-data-based equivalent circuit synthesis method, presented in [15] and assessed in a real feeder in [16], to evaluate the considerations and factors discussed in Section II-B. Provided that PMUs are installed at all CBs bounding the zones, each zone can be replaced by an equivalent circuit consisting of a voltage source and several R-L branches, as shown in Fig.…”

Power Hardware-in-the-Loop Setup for Developing, Analyzing and Testing Mode Identification Techniques and Dynamic Equivalent Models

“…Nevertheless, signals obtained through dynamic simulations cannot effectively replicate PMU recordings, which inherently contain noise, outliers and in some cases missing samples [1]. Therefore, the evaluation of measurement-based methods using only simulated responses is not adequate enough, to demonstrate their applicability under real field conditions.…”

“…With the increased penetration of distributed generation (DG) units into the existing distribution grids, it is becoming more and more complex for power system operators to develop and maintain detailed power system models [1]. To overcome this issue, measurement-based methods have been proposed in the literature to facilitate the dynamic analysis of transmission grids and active distribution networks (ADNs) [2].…”

Multi Objective for PMU Placement in Compressed Distribution Network Considering Cost and Accuracy of State Estimation

“…Sci. 2019, 9, 1515 2 of 22 but also can quickly deal with problems such as anomaly detection [7], overcurrent protection [8], steady-state model synthesis [9], network topology detection [10], reliability analysis [11] and so on. Reference [7] proposes a layered architecture for monitoring networks based on the PMU measurements and establishes a set of analyses and sensor primitives to detect anomalous behavior in the control perimeter.…”