No 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.

This paper investigates the performance of different methods for calculating the Thevenin equivalent parameters based using only data obtained from real-time synchrophasor measurements. Estimating the parameters from data affected by noisy measurements, transients, and continuously varying power system parameters may yield Thevenin equivalents that do not reflect the actual voltage stability of the system. The paper proposes using a total least squares method to take into account errors in the model from time-varying Thevenin parameters and noise. The paper reviews two different methods for Thevenin equivalent estimation proposed in the literature. The suitability of the three methods described in the paper is tested in case studies, where the performance of the methods are tested with both noise-free and noisy data. The papers also investigates effect of changes in the power consumptions at other buses on the Thevenin parameters seen from the monitored load bus.

No abstract