PV interconnection risk analysis through distribution system impact signatures and feeder zones

High penetrations of PV on the distribution system can impact the operation of the grid and may require interconnection studies to prevent reliability problems. In order to improve the interconnection study process, the use of feeder zones and PV impact signatures are proposed to group feeders by allowable PV size as well as by their limiting factors for the interconnection. The feeder signature separates feeders into different impact regions with varying levels of PV interconnection risk, accounting for impact mitigation strategies and associated costs. This locational information improves the speed and accuracy of the interconnection screening process. The interconnection risk analysis methodology is based on the feeder and interconnection parameters such as: feeder type, feeder characteristics, and location and size of PV. PV impact signatures, hosting capacity, and feeder risk zones are demonstrated for four realistic distribution systems.

[1]  Juan Jose Corrales Hernandez,et al.  Guidelines for the technical assessment of harmonic, flicker and unbalance emission limits for PV-di , 2011 .

[2]  J. W. Smith,et al.  Advanced distribution planning tools for high penetration PV deployment , 2012, 2012 IEEE Power and Energy Society General Meeting.

[3]  E. M. Stewart,et al.  A realistic irradiance-based voltage flicker analysis of PV applied to Hawaii distribution feeders , 2012, 2012 IEEE Power and Energy Society General Meeting.

[4]  Vasilis Fthenakis,et al.  Empirical assessment of short‐term variability from utility‐scale solar PV plants , 2014 .

[5]  Martin Braun,et al.  Technical and economical assessment of voltage control strategies in distribution grids , 2013 .

[6]  Sandia Report,et al.  Time Series Power Flow Analysis for Distribution Connected PV Generation , 2013 .

[7]  M. Steurer,et al.  Impact of PV on distribution protection system , 2012, 2012 North American Power Symposium (NAPS).

[8]  B. Kroposki,et al.  Updating Interconnection Screens for PV System Integration , 2012 .

[9]  G. J. Shirek,et al.  Solar plant modeling impacts on distribution systems PV case study , 2012, 2012 Rural Electric Power Conference.

[10]  Fangxing Li,et al.  Properly understanding the impacts of distributed resources on distribution systems , 2010, IEEE PES General Meeting.

[11]  Santiago Grijalva,et al.  Smart inverter capabilities for mitigating over-voltage on distribution systems with high penetrations of PV , 2013, 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC).

[12]  Santiago Grijalva,et al.  Locational dependence of PV hosting capacity correlated with feeder load , 2014, 2014 IEEE PES T&D Conference and Exposition.

[13]  Matthew J. Reno,et al.  Grid integrated distributed PV (GridPV). , 2013 .

[14]  Matthew J. Reno,et al.  Time series simulation of voltage regulation device control modes , 2013, 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC).

[15]  B. Kroposki,et al.  Steady-State Analysis of Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders , 2013, IEEE Transactions on Sustainable Energy.