Two-stage optimal dispatching of multi-energy virtual power plants based on chance constraints and data-driven distributionally robust optimization considering carbon trading.

Zhao, Huiru; Wang, Xuejie; Siqin, Zhuoya; Li, Bingkang; Wang, Yuwei

Zhao, Huiru; Wang, Xuejie; Siqin, Zhuoya; Li, Bingkang; Wang, Yuwei.

Afiliação

Zhao H; School of Economics and Management, North China Electric Power University, Beijing, 102206, China.
Wang X; School of Economics and Management, North China Electric Power University, Beijing, 102206, China. wangxuejie155@163.com.
Siqin Z; School of Economics and Management, North China Electric Power University, Beijing, 102206, China.
Li B; Department of Economic Management, North China Electric Power University, Baoding, 071003, Hebei Province, China.
Wang Y; Department of Economic Management, North China Electric Power University, Baoding, 071003, Hebei Province, China.

Environ Sci Pollut Res Int ; 30(33): 79916-79936, 2023 Jul.

Article em En | MEDLINE | ID: mdl-37291342

Assuntos

Carbono; Energia Renovável; Reprodutibilidade dos Testes; Centrais Elétricas; Incerteza

Palavras-chave

Chance constraint; Data-driven; Distributionally robust optimization model; Multi-energy virtual power plant; Wasserstein metric

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Energia Renovável Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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