Risk Constrained Self-Scheduling of AA-CAES Facilities in Electricity and Heat Markets: A Distributionally Robust Optimization Approach

Advanced adiabatic compressed air energy storage (AA-CAES) has the advantages of large capacity, long service time, combined heat and power generation (CHP), and does not consume fossil fuels, making it a promising storage technology in a low-carbon society. An appropriate self-scheduling model can...

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Principais autores:	Zhiao Li, Laijun Chen, Wei Wei, Shengwei Mei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	China electric power research institute 2024-01-01
Colecção:	CSEE Journal of Power and Energy Systems
Assuntos:	Advanced adiabatic compressed air energy storage (AA-CAES) conditional value at risk (CVaR) distributionally robust optimization (DRO) heat market self-scheduling Stackelberg game
Acesso em linha:	https://ieeexplore.ieee.org/document/9535406/
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