Open AccessThe Evaluation of Solely Renewable Energy Based Virtual Power Plants Potential for Ancillary Services Provision
Author(s) -
Guoliang Zhang,
Litao Ouyang,
Senlin Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/621/1/012064
Subject(s) - renewable energy , variable renewable energy , wind power , virtual power plant , environmental economics , photovoltaics , electricity , market penetration , grid , computer science , solar power , grid parity , electric power system , photovoltaic system , power (physics) , distributed generation , engineering , electrical engineering , economics , geography , physics , quantum mechanics , geodesy
High penetration of variable renewable energy sources in the utility grid drives the increasing need for ancillary services (AS) in electricity markets. Wind and Photovoltaics power plants are proven technically and economically capable of providing AS to system operators. To estimate the potential of AS provision by solely renewables based Virtual Power Plant (VPP), an evaluation methodology from the perspective of machine learning (ML) is proposed in this paper. Then, the methodology is tested using open-source datasets that contain hourly power output from wind and solar power plants located in 21 regions of France.