Emerging challenges to state estimation of power systems

#power #system #security #state #estimation #contingency #analysis #fault #level #calculations
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Power system measurement data are processed to estimate real time powerflow model using network functions and statistical estimation techniques. This state estimation process provides the necessary model required for running dispatcher power flow, contingency analysis, fault level calculations and formulating operations strategies. Modern power systems are facing new challenges to state estimation and power system security. One of the challenges is the integrity of measurement data due to cyber-security, incorrect measurement data from external networks, bad data injections, noise and attenuation and transmission delays. Similarly, integration of intermittent resources has increased the number of intermittent measurements which has increased the complexity in numerical computation of state estimation.  This presentation highlights a review of power system state estimation, its application to power system security assessment and the new challenges to state estimation due to imminent structural changes to power systems.



  Date and Time

  Location

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  • Start time: 29 Oct 2019 11:00 AM
  • End time: 30 Oct 2019 12:00 PM
  • All times are (UTC+10:00) Brisbane
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  • The University of Queensland
  • St Lucia, Queensland
  • Australia 4072
  • Building: Advance Engineering (49)
  • Room Number: 502

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  Speakers

Sudarshan Dahal of Powerlink Qld

Topic:

Emerging challenges to state estimation of power systems

  

Power system measurement data are processed to estimate real time powerflow model using network functions and statistical estimation techniques. This state estimation process provides the necessary model required for running dispatcher power flow, contingency analysis, fault level calculations and formulating operations strategies. Modern power systems are facing new challenges to state estimation and power system security. One of the challenges is the integrity of measurement data due to cyber-security, incorrect measurement data from external networks, bad data injections, noise and attenuation and transmission delays. Similarly, integration of intermittent resources has increased the number of intermittent measurements which has increased the complexity in numerical computation of state estimation.  This presentation highlights a review of power system state estimation, its application to power system security assessment and the new challenges to state estimation due to imminent structural changes to power systems.

 

Biography:

Sudarshan Dahal was born in Nepal and migrated to Australia in 2009. He did Bachelor’s in Electrical Engineering from Tribhuvan University Nepal, Masters from Tokyo Institute of Technology Japan and PhD from the University of Queensland in 2012. Since 2012, he has been with Powerlink Queensland working with a range of projects ranging from investment and planning, primary and secondary systems designs, project construction management, as well as field testing. Currently he is looking after modelling and simulation of power systems at Powerlink’s Energy Management System (EMS).