Fairness-aware Dynamic Hosting Capacity and the Impacts of Strategic Solar PV Curtailment
Abstract
The rapid growth of distributed energy resources (DERs), such as solar photo- voltaics (PV), challenges the distribution grid at high penetration levels. Host- ing capacity (HC) analysis, incorporating grid physics and demand variability, is essential to address these challenges. This study improves an existing con- vex inner approximation method to determine HC for radial networks, achieving larger HC limits. The framework includes time-varying demand and and ensures a fair allocation of HC among all customers. A case study on a modified IEEE- 37 network shows that limiting annual solar curtailment to 5% can increase the HC by 50% without grid harm, yielding economic and carbon benefits.
Primary Faculty Mentor Name
Mads Almassalkhi
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Fairness-aware Dynamic Hosting Capacity and the Impacts of Strategic Solar PV Curtailment
The rapid growth of distributed energy resources (DERs), such as solar photo- voltaics (PV), challenges the distribution grid at high penetration levels. Host- ing capacity (HC) analysis, incorporating grid physics and demand variability, is essential to address these challenges. This study improves an existing con- vex inner approximation method to determine HC for radial networks, achieving larger HC limits. The framework includes time-varying demand and and ensures a fair allocation of HC among all customers. A case study on a modified IEEE- 37 network shows that limiting annual solar curtailment to 5% can increase the HC by 50% without grid harm, yielding economic and carbon benefits.
