A new multi-objective solution approach to solve transmission congestion management problem of energy markets
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DOI: 10.1016/j.apenergy.2015.12.101
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- Schönheit, David & Bruninx, Kenneth & Kenis, Michiel & Möst, Dominik, 2022. "Improved selection of critical network elements for flow-based market coupling based on congestion patterns," Applied Energy, Elsevier, vol. 306(PA).
- Schönheit, David & Bruninx, Kenneth & Kenis, Michiel & Möst, Dominik, 2021. "Improved selection of critical network elements for flow-based market coupling based on congestion patterns," EconStor Preprints 233467, ZBW - Leibniz Information Centre for Economics.
- Hosseini, Seyyed Ahmad & Toubeau, Jean-François & De Grève, Zacharie & Vallée, François, 2020. "An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision," Applied Energy, Elsevier, vol. 280(C).
- Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
- Chen, Yusheng & Guo, Tong & Kainz, Josef & Kriegel, Martin & Gaderer, Matthias, 2022. "Design of a biomass-heating network with an integrated heat pump: A simulation-based multi-objective optimization framework," Applied Energy, Elsevier, vol. 326(C).
- Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
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Keywords
Transmission congestion management; Deregulated energy market; Multi-objective mathematical programming; Voltage and transient stability;All these keywords.
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