Two-Stage Chance-Constrained Stochastic Thermal Unit Commitment for Optimal Provision of Virtual Inertia in Wind-Storage Systems

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Tao Ding (Autor) Outra; Ziyu Zeng (Autor) Outra; Ming Qu (Autor) Outra; João P. S. Catalão (Autor) FEUP; Mohammad Shahidehpour (Autor) Outra

Revista

Título: IEEE Transactions on Power Systems

Vol. 36

Páginas: 3520-3530

ISSN: 0885-8950

Editora: IEEE

Indexação

ISI Web of Knowledge - 31 Citações

Scopus - 44 Citações

Outras Informações

ID Authenticus: P-00T-KFV

DOI: 10.1109/tpwrs.2021.3051523

Abstract (EN): The frequency security problem becomes a critical concern in power systems when the system inertia is lowered due to the high penetration of renewable energy sources (RESs). A wind-storage system (WSS) controlled by power electronics can provide the virtual inertia to guarantee the fast frequency response after a disturbance. However, the provision of virtual inertia might be affected by the variability of wind power generation. To address this concern, we propose a two-stage chance-constrained stochastic optimization (TSCCSO) model to find the optimal thermal unit commitment (i.e., economic operation) and the optimal placement of virtual inertia (i.e., frequency stability) in a power grid using representative power system operation scenarios. An enhanced bilinear Benders decomposition method is employed with strong valid cuts to effectively solve the proposed optimization model. Numerical results on a practical power system show the effectiveness of the proposed model and solution method.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11