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

Author:

Kim Rebecca1ORCID,Lima Fernando V.1ORCID

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

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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