Nonlinear multiobjective and dynamic real‐time predictive optimization for optimal operation of baseload power plants under variable renewable energy-Reference-Cited by-同舟云学术

Nonlinear multiobjective and dynamic real‐time predictive optimization for optimal operation of baseload power plants under variable renewable energy

Published:2022-01-19 Issue:2 Volume:44 Page:798-829
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Methods

Author:

Kim Rebecca¹^ORCID,Lima Fernando V.¹^ORCID

Affiliation:

1. Department of Chemical and Biomedical Engineering West Virginia University Morgantown West Virginia USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2852

Reference46 articles.

1. U.S. Energy Information Administration.Annual Energy Outlook with Projections to 2050; January 24; 2019. Accessed February 02 2021.https://www.eia.gov/outlooks/aeo/pdf/AEO2019.pdf

2. International Renewable Energy Agency – IRENA.Planning for the renewable future: long‐term modelling and tools to expand variable renewable rower in emerging economies; 2017. Accessed February 02 2021.https://www.irena.org/‐/media/Files/IRENA/Agency/Publication/2017/IRENA_Planning_for_the_Renewable_Future_2017.pdf

3. US Energy Information Administration – EIA Website.Renewable energy explained. Updated June 22 2020. Accessed February 02 2021.https://www.eia.gov/energyexplained/renewable‐sources

4. The renewable energy policy Paradox

5. Greening the Grid.Demand response and storage. Accessed April 7 2019.http://www.greeningthegrid.org/integration‐in‐depth/demand‐response‐and‐storage

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