Dynamic Hosting Capacity Analysis for Distributed Photovoltaic Resources - Framework and Case Study

Akshay Kumar Jain, Kelsey Horowitz, Fei Ding, Kwami Senam Sedzro, Bryan Palmintier, Barry Mather, Himanshu Jain

Research output: Contribution to journalArticlepeer-review

30 Scopus Citations


Distributed photovoltaic systems can cause adverse distribution system impacts, including voltage violations at customer locations and thermal overload of lines, transformers, and other equipment resulting from high current. The installed capacity at which violations first occur and above which would require system upgrades is called the hosting capacity. Current static methods for determining hosting capacity tend to either consider infrequent worst-case snapshots in time and/or capture coarse time and spatial resolution. Because the duration of violations cannot be captured with these traditional methods, the metric thresholds used in these studies conservatively use the strictest constraints given in operating standards, even though both worse voltage performance and higher overloads may be temporarily acceptable. However, assessing the full details requires accurately capturing time-dependence, voltage-regulating equipment operations, and performance of advanced controls-based mitigation techniques. In this paper, we propose a dynamic distributed photovoltaic hosting capacity methodology to address these issues by conducting power flow analysis for a full year. A key contribution is the formulation of time aware metrics to take these annual results and identify the hosting capacity. Through a case study, we show that this approach can more fully capture grid impacts of distributed photovoltaic than traditional methods and the dynamic hosting capacity was 60%–200% higher than the static hosting capacity in this case study.

Original languageAmerican English
Article number115633
Number of pages13
JournalApplied Energy
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

NREL Publication Number

  • NREL/JA-5D00-74752


  • Distributed photovoltaic resources
  • Dynamic hosting capacity
  • Quasi-static time-series analysis


Dive into the research topics of 'Dynamic Hosting Capacity Analysis for Distributed Photovoltaic Resources - Framework and Case Study'. Together they form a unique fingerprint.

Cite this