PMU-Based Monitoring and Mitigation of Delayed Voltage Recovery Using Admittances

This paper analyzes the delayed voltage recovery phenomenon by simplifying the western electricity coordinating council composite load model using the load admittance and the thermal relay dynamics. From this analysis, a closed form expression approximating the recovery time is derived and the key load parameters impacting the behavior of voltage recovery are identified. A monitoring scheme based on the measured load admittance is then proposed to detect the onset of stalling, even in the presence of voltage oscillations, and estimate the duration of the delayed voltage recovery. A mitigation scheme utilizing smart thermostats and offline learning is also derived to ensure that the voltage recovers to the pre-contingency voltage within a specified time. Both the monitoring and mitigation schemes only need local measurements at a substation making them promising for online applications. Results for the monitoring and mitigation schemes are described in detail for the IEEE 162 bus system validating the various assumptions used for the analysis and establishing the connection between the delayed voltage recovery phenomenon and load admittance.

[1]  Magesh Kumar Paramasivam Dynamic optimization based reactive power planning for improving short-term voltage performance , 2015 .

[2]  V Ajjarapu,et al.  A Novel Online Load Shedding Strategy for Mitigating Fault-Induced Delayed Voltage Recovery , 2011, IEEE Transactions on Power Systems.

[3]  Siddhartha Kumar Khaitan,et al.  Dynamic Co-Simulation Methods for Combined Transmission-Distribution System With Integration Time Step Impact on Convergence , 2019, IEEE Transactions on Power Systems.

[4]  Honghao Zheng,et al.  A New Dynamic Performance Model of Motor Stalling and FIDVR for Smart Grid Monitoring/Planning , 2016, IEEE Transactions on Smart Grid.

[5]  Richard J. Bravo,et al.  DER volt-VAr and voltage ride-through needs to contain the spread of FIDVR events , 2015, 2015 IEEE Power & Energy Society General Meeting.

[6]  Xiaorong Xie,et al.  An Emergency-Demand-Response Based Under Speed Load Shedding Scheme to Improve Short-Term Voltage Stability , 2017, IEEE Transactions on Power Systems.

[7]  Heresh Seyedi,et al.  A fast online load shedding method for mitigating FIDVR based on novel stability index , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).

[8]  Yuchen Zhang,et al.  Real-Time Assessment of Fault-Induced Delayed Voltage Recovery: A Probabilistic Self-Adaptive Data-Driven Method , 2019, IEEE Transactions on Smart Grid.

[9]  V. Vittal,et al.  Dynamic VAr Planning in a Large Power System Using Trajectory Sensitivities , 2010, IEEE Transactions on Power Systems.

[10]  Gustav Lammert,et al.  Control of Photovoltaic Systems for Enhanced Short-Term Voltage Stability and Recovery , 2019, IEEE Transactions on Energy Conversion.

[11]  Yu Zhang,et al.  A Reference Implementation of WECC Composite Load Model in Matlab and GridPACK , 2017, ArXiv.

[12]  Hao Zhu,et al.  Dependency Analysis and Improved Parameter Estimation for Dynamic Composite Load Modeling , 2017, IEEE Transactions on Power Systems.

[13]  Siddhartha Kumar Khaitan,et al.  Application of Combined Transmission-Distribution System Modeling to WECC Composite Load Model , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[14]  Venkataramana Ajjarapu,et al.  Contingency Analysis and Identification of Dynamic Voltage Control Areas , 2015, IEEE Transactions on Power Systems.

[15]  D. C. Dawson,et al.  Transmission voltage recovery delayed by stalled air conditioner compressors , 1992 .

[16]  S.M. Halpin,et al.  Slope-Permissive Under-Voltage Load Shed Relay for Delayed Voltage Recovery Mitigation , 2008, IEEE Transactions on Power Systems.

[17]  Renke Huang,et al.  A generic modeling and development approach for WECC composite load model , 2019, Electric Power Systems Research.

[18]  Monirul Islam,et al.  Dynamic Voltage Support by TL-PV Systems to Mitigate Short-Term Voltage Instability in Residential DN , 2018, IEEE Transactions on Power Systems.

[19]  Dariusz Czarkowski,et al.  Time Series Power Flow Framework for the Analysis of FIDVR Using Linear Regression , 2018, IEEE Transactions on Power Delivery.

[20]  Jayanth R. Ramamurthy,et al.  Relay-based undervoltage load shedding scheme for Entergy's Western Region , 2015, 2015 IEEE Power & Energy Society General Meeting.

[21]  Chong Wang,et al.  Robust Time-Varying Parameter Identification for Composite Load Modeling , 2019, IEEE Transactions on Smart Grid.

[22]  S.M. Halpin,et al.  The MVA-Volt Index: A Screening Tool for Predicting Fault-Induced Low Voltage Problems on Bulk Transmission Systems , 2008, IEEE Transactions on Power Systems.

[23]  James D. McCalley,et al.  Coordinated reactive power planning against power system voltage instability , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.