Multi-timescale data-driven method identifying flexibility requirements for scenarios with high penetration of renewables-Reference-Cited by-同舟云学术

Multi-timescale data-driven method identifying flexibility requirements for scenarios with high penetration of renewables

Published:2020-04 Issue: Volume:264 Page:114702
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Olsen Karen Pardos,Zong Yi,You Shi,Bindner Henrik,Koivisto Matti,Gea-Bermúdez Juan

Funder

“Enhancing wind power integration through optimal use of cross”

Danish Innovation Funding

NSON-DK

PSfuture

WASTE to offer flexible GRID balancing Services with highly-integrated, efficient solid-oxide plants (Waste2Grids)”

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference31 articles.

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3. Application of advanced battery energy storage systems for wind integration;Vartanian,2012

4. Reviews on grid-connected inverter, utility-scaled battery energy storage system, and vehicle-to-grid application - challenges and opportunities;Choi,2017

5. Energy storage methods for renewable energy integration and grid support;Shively,2008

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