Hosting Capacity Method

EPRI is currently leading multiple efforts throughout the U.S. to assess how future high penetration PV integrates into distribution feeders of various types, load mixes, and solar characteristics. This work combines both detailed feeder data along with field measurements to examine a wide range of PV deployment scenarios and penetration levels.

The linked report below discusses the analysis developed by EPRI to determine distributed PV impact to a specific feeder. The analysis uses a stochastic approach when creating potential PV deployment scenarios. The stochastic nature of the analysis takes into account the uncertainty in the size and location of potentially installed PV systems. Through the examination of power quality and reliability related issues for thousands of potential scenarios, the feeder response is used to determine the total amount of PV that will likely cause an adverse impact to the feeder. This amount of PV is considered the feeder’s hosting capacity, or the maximum amount of PV that can be accommodated. The feeder modeling, analysis, and evaluation of issues to determine hosting capacity are all discussed in detail in this report:

Stochastic Analysis to Determine Feeder Hosting Capacity for Distributed Solar PV

Further Reading:

EPRI Reports

Distribution Feeder Hosting Capacity: What Matters When Planning for DER?. EPRI, Palo Alto, CA: April 2015. 3002004777.

Common Functions for Smart Inverters, Version 2. EPRI, Palo Alto, CA: 2012. 1026809.

Impact of High-Penetration PV on Distribution System Performance: Assessment of Regulation Control Options for Voltage Mitigation. EPRI, Palo Alto, CA: 2012. 1024355.

Modeling High-Penetration PV for Distribution Interconnection Studies: Smart Inverter Function Modeling in OpenDSS. EPRI, Palo Alto, CA: 2012. 1024353.

Modeling High-Penetration PV for Distribution Analysis: Solar PV Systems and Relevant Grid-Related Responses. EPRI, Palo Alto, CA: 2011. 1021980.

Impact of High-Penetration PV on Distribution System Performance: Example Cases and Analysis Approach. EPRI, Palo Alto, CA: 2011. 1021982.

Common Functions for Smart Inverters, EPRI White Paper, EPRI, Palo Alto CA: December 2011. 1023059.

Standard Language Protocols for Photovoltaics and Storage Grid Integration: Developing a Common Method for Communicating with Inverter-Based Systems, EPRI White Paper, May 2010. 1020906

Integration of Photovoltaic Generation into Distribution Systems, EPRI, Palo Alto, CA: 2010. 1020870.

Papers/Presentations:

Smith, J., “Feeder Characterization for PV Integration Assessment,” Department of Energy High-Penetration PV Workshop, Sacramento, CA, June 13, 2011.

Smith, J., Dugan, R., Key, T., “High-Penetration PV Impact Assessment on Distribution Systems,” 4th International Conference on Integration of Renewable and Distributed Energy Resources, Albuquerque, NM, Dec. 2010.

Smith, J. Dugan, R., Sunderman, W., “Distribution Modeling and Analysis of High Penetration PV,” presented at the IEEE PES General Meeting, Detroit, MI, 2011.

Smith, J., Key, T., “High-Penetration PV Impact Analysis on Distribution Systems,” presented at Solar Power International, Dallas, TX, October 2011.

Smith, J., Rylander, M., Dugan, R., Key, T., “Advanced Distribution Planning Tools for High Penetration PV Deployment,” presented at the IEEE PES General Meeting, San Diego, CA, 2012.

Rylander, M., Smith, J., “Comprehensive Approach for Determining Distribution Network Hosting Capacity for Solar PV”, 2nd International Workshop on Integration of Solar Power Into Power Systems, Lisbon, Portugal, Nov. 2012.

Rylander, M., Smith, J., “Stochastic Approach for Distribution Planning with Distributed Energy Resources”, CIGRE 2012 Grid of the Future Symposium, Kansas City, MO, 2012.

Rylander, M., Smith, J., Lewis, D., Steffel, S., “Voltage Impacts from Distributed PV on Two Distribution Feeders”, IEEE PES General Meeting, Vancouver, Canada, 2013.