Chapter 34 - Every Moment Counts: Synchrophasors for Distribution Networks with Variable Resources

Historically, with mostly radial power distribution and one-way power flow, it was only necessary to evaluate the envelope of design conditions, e.g., peak loads or fault currents, rather than continually observe the operating state. But the growth of distributed energy resources introduces variability, uncertainty, and opportunities to recruit diverse resources for grid services. This chapter addresses how the direct measurement of voltage phase angle might enable new strategies for managing distribution networks with diverse, active components.

[1]  C. M. Shand,et al.  Addressing the challenges for integrating micro-synchrophasor data with operational system applications , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[2]  Alexandra von Meier,et al.  Distribution network topology detection with time-series measurements , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[3]  Roger L. King,et al.  Application of Advanced Wide Area Early Warning Systems with Adaptive Protection , 2014 .

[4]  Alexandra von Meier,et al.  Topology detection in microgrids with micro-synchrophasors , 2015, 2015 IEEE Power & Energy Society General Meeting.

[5]  M. Wache,et al.  Application of Synchrophasor Measurements for distribution networks , 2011, 2011 IEEE Power and Energy Society General Meeting.

[6]  Virgilio Centeno,et al.  Phasor-based assessment for harmonic sources in distribution networks , 2014 .

[7]  Kameshwar Poolla,et al.  Data-driven approach for distribution network topology detection , 2015, 2015 IEEE Power & Energy Society General Meeting.

[8]  Luis F. Ochoa,et al.  Angle constraint active management of distribution networks with wind power , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[9]  David E. Culler,et al.  DISTIL: Design and implementation of a scalable synchrophasor data processing system , 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[10]  G. Zweigle,et al.  Synchrophasor-based power system protection and control applications , 2010, 2010 63rd Annual Conference for Protective Relay Engineers.

[11]  M. Paolone,et al.  Synchronized phasors monitoring during the islanding maneuver of an active distribution network , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[12]  David E. Culler,et al.  Micro-synchrophasors for distribution systems , 2014, ISGT 2014.

[13]  Massoud Amin.  North America's Electricity Infrastructure: Are We Ready for More Perfect Storms? , 2003, IEEE Secur. Priv..

[14]  Yanpei Chen,et al.  An information-centric energy infrastructure: The Berkeley view , 2011, Sustain. Comput. Informatics Syst..

[15]  Ahmet Onen,et al.  Harmonic interactions of multiple distributed energy resources in power distribution networks , 2013 .

[16]  David E. Culler,et al.  sMAP: a simple measurement and actuation profile for physical information , 2010, SenSys '10.

[17]  Jonathan Lee.  Automatic Fault Location on Distribution Networks Using Synchronized Voltage Phasor Measurement Units , 2014 .

[18]  E. M. Stewart,et al.  Accuracy and validation of measured and modeled data for distributed PV interconnection and control , 2015, 2015 IEEE Power & Energy Society General Meeting.

[19]  David Macii,et al.  Bayesian linear state estimation using smart meters and PMUs measurements in distribution grids , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[20]  David E. Whitehead,et al.  Real-world synchrophasor solutions , 2009, 2009 62nd Annual Conference for Protective Relay Engineers.

[21]  Jiachun Guo,et al.  Wisdom about age [aging electricity infrastructure] , 2006, IEEE Power and Energy Magazine.

[22]  Kameshwar Poolla,et al.  Phase identification in distribution networks with micro-synchrophasors , 2015, 2015 IEEE Power & Energy Society General Meeting.

[23]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[24]  Danling Cheng,et al.  Monte Carlo analysis of Plug-in Hybrid Vehicles and Distributed Energy Resource growth with residential energy storage in Michigan , 2013 .

[25]  N. Lu,et al.  The system impact of air conditioner under-voltage protection schemes , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[26]  R. Brown,et al.  Asset management for transmission and distribution , 2005, IEEE Power and Energy Magazine.