Implementing hosting capacity analysis in distribution
This paper addresses key research gaps, aiming to improve the accuracy, scalability, and practicality of hosting capacity estimation. Standardized methodologies are highlighted as a
Data-driven hidden solar PV and energy storage capacity
A novel method is proposed for estimating the capacity of DER, including PV and energy storage systems (ESS). Furthermore, a reinforcement learning-based ESS control
Distributed Power Tracking Control of Energy Storage Systems
Numerous small-scale energy storage systems (ESSs) are distributed throughout the power system and have the potential to be aggregated for power regulation. In this
Distributed Generation, Battery Storage, and Combined Heat
As part of our Annual Energy Outlook (AEO), we update projections to reflect the most current, publicly available historical cost data, and we use a number of third-party estimates of future
U.S. Energy Information Administration
Current and future DG equipment costs are subject to uncertainty. As part of our Annual Energy Outlook (AEO), we update projections to reflect the most current, publicly available historical
Planning and Dispatching of Distributed Energy Storage
In this paper, based on the study on the low-carbon transformation of urban distribution networks, we conduct research on planning and scheduling energy storage
Planning of distributed energy storage with the coordination of
To address these deficiencies, this paper introduces a bi-level planning model for distributed energy storage that incorporates the influence of extreme weather on transmission
Energy Storage Analysis Case Studies
Each of the analyses in this report is based on a real case study performed by EPRI.
EPRI | DER-VET™
DER-VET™ provides a free, publicly accessible, open-source platform for calculating, understanding, and optimizing the value of distributed energy resources (DER) based on their
Distributed Solar and Storage Adoption Modeling
Distributed Storage Adoption Scenarios (Technical Report): A report on the various future distributed storage capacity adoption scenarios and results and implications. These
Data-driven hidden solar PV and energy storage capacity estimation
A novel method is proposed for estimating the capacity of DER, including PV and energy storage systems (ESS). Furthermore, a reinforcement learning-based ESS control