An Optimal VPP Grouping Method for Deep Peak Regulation Ancillary Service of Power Grid
Author:
Affiliation:
1. Shanghai University of Electric Power,Department of Electric Power and Automation Engineering,Shanghai,China
2. State Grid Jiaxing Power Supply Company,Jiaxing,China
3. Hohai University,School of Energy and Electrical Engineering,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115460/10115466/10117309.pdf?arnumber=10117309
Reference9 articles.
1. Blockchain-Integrated Virtual Power Plant Demonstration
2. Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling
3. Market Mechanism and Clearing Model of Deep Peak Regulation Considering Virtual Power Plant Participation [J];jinquan;Global Energy internet,2020
4. Optimal Scheduling of Virtual Power Plants Utilizing Wind Power and Electric Vehicles
5. Optimal VPP Energy Production Planning with Renewable Energy Sources and Small Dispatchable Generators
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