Cost-optimized energy storage operation for a grid-connected solar PV system at community and individual scales
Abstract
This study provides a comparative analysis of grid-connected PV-integrated battery storage at individual and community scales. A cost-optimization framework is used to evaluate the variability, scalability, and economic benefits of community scale storage. Results show that community-scale storage dampens grid exchange power fluctuations more effectively and achieves lower system costs. Moderate differences between electricity buying and selling prices and low battery capacities yield the lowest net operational cost. The paper also analyzes the impacts of static control versus cost-optimized battery system management. It is shown that the gap between cost-optimized and static control scenarios widens as the price difference increases.
Primary Faculty Mentor Name
Hamid Ossareh
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Mechanical Engineering
Primary Research Category
Engineering and Math Science
Cost-optimized energy storage operation for a grid-connected solar PV system at community and individual scales
This study provides a comparative analysis of grid-connected PV-integrated battery storage at individual and community scales. A cost-optimization framework is used to evaluate the variability, scalability, and economic benefits of community scale storage. Results show that community-scale storage dampens grid exchange power fluctuations more effectively and achieves lower system costs. Moderate differences between electricity buying and selling prices and low battery capacities yield the lowest net operational cost. The paper also analyzes the impacts of static control versus cost-optimized battery system management. It is shown that the gap between cost-optimized and static control scenarios widens as the price difference increases.
