Accuracy and validation of measured and modeled data for distributed PV interconnection and control

The distribution grid is changing to become an active resource with complex modeling needs. The new active distribution grid will, within the next ten years, contain a complex mix of load, generation, storage and automated resources all operating with different objectives on different time scales from each other and requiring detailed analysis. Electrical analysis tools that are used to perform capacity and stability studies have been used for transmission system planning for many years. In these tools, the distribution grid was considered a load and its details and physical components were not modeled. The increase in measured data sources can be utilized for better modeling, but also control of distributed energy resources (DER). The utilization of these sources and advanced modeling tools will require data management, and knowledgeable users. Each of these measurement and modeling devices have accuracy constraints, which will ultimately define their future ability to be planned and controlled. This paper discusses the importance of measured data accuracy for inverter control, interconnection and planning tools and proposes ranges of control accuracy needed to satisfy all concerns based on the present grid infrastructure.

[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]  Michael Chertkov,et al.  Options for Control of Reactive Power by Distributed Photovoltaic Generators , 2010, Proceedings of the IEEE.

[3]  Brian Seal,et al.  Smart inverter volt/var control functions for high penetration of PV on distribution systems , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[4]  K. Mani Chandy,et al.  Inverter VAR control for distribution systems with renewables , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[5]  J. Martin-Arnedo,et al.  Tools for Analysis and Design of Distributed Resources—Part I: Tools for Feasibility Studies , 2011, IEEE Transactions on Power Delivery.

[6]  C. M. Shand,et al.  Addressing the challenge of data interoperability for off-line analysis of distribution networks in the Smart Grid , 2012, PES T&D 2012.

[7]  V. Dinavahi,et al.  Tools for Analysis and Design of Distributed Resources—Part IV: Future Trends , 2011, IEEE Transactions on Power Delivery.

[8]  S. Vasilic,et al.  Analysis of High-Penetration Levels of Photovoltaics into the Distribution Grid on Oahu, Hawaii: Detailed Analysis of HECO Feeder WF1 , 2013 .

[9]  David Tse,et al.  Optimal Distributed Voltage Regulation in Power Distribution Networks , 2012, ArXiv.

[10]  Sila Kiliccote,et al.  Software-Based Challenges of Developing the Future Distribution Grid , 2014 .

[11]  B. F. Wollenberg,et al.  Optimization of unbalanced power distribution networks via semidefinite relaxation , 2012, 2012 North American Power Symposium (NAPS).

[12]  Lance A. Irwin A high accuracy standard for electricity meters , 2010, IEEE PES T&D 2010.