Toolbox Entry: Electric Program Investment Charge 2.02 – Distributed Energy Resource Management System Final Report

From energypedia
Revision as of 19:02, 27 November 2022 by ***** (***** | *****) (Created page with "{{TUEWAS ToolboxDB |TUW title=Electric Program Investment Charge 2.02 – Distributed Energy Resource Management System Final Report |TUW author=Pacific Gas and Electric |TUW...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

► Back to the Toolbox

Last edited on 27/11/2022 by Hector Alfaro
(Date format: DD/MM/YYYY)

General Information

ID Number
74
Main Author
Pacific Gas and Electric
Publication Year
2019
Type of Entry
Study Report
Active management of distribution grid
  • DERMS
  • Monitoring Solutions
  • Control Solutions
  • Smart grids (AMI, smart meters, etc.) increase


Market-based and Tariff-based Solutions
  • VPP and aggregators (market integration of DERs)




Information Exchange
  • Cybersecurity
Which of the above categories best describe the material
Active management of distribution grid
Geographical Scope of the Publication
United States of America
Location within country
California
File
Reference project name
EPIC 2.02 – Distributed Energy Resource Management System


URL
Abstract
This report summarizes the project objectives, technical results and lessons learned for EPIC Project 2.02 - Distributed Energy Resource Management System (DERMS). The main objective of the DERMS Demo was to test and demonstrate that new technologies can provide the functionality to monitor and control DERs to manage system constraints and evaluate the potential value of DER flexibility to the grid. The DERMS Demo demonstrated that value from DERs to provide grid services could be realized. This demonstration drove learnings about the people, process, and technology needed to operate the high DER penetration grid of the future. The challenges and lessons learned through this implementation helped move the industry and PG&E forward in the DERMS space, while grounding perspectives of near-term versus future needs and capabilities.