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

• Type: Article in International Scientific Journal
• Date: 2021

Authors

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

Journal

Title: IEEE Transactions on Power Systems

Vol. 36

Pages: 3520-3530

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 31 Citations

Scopus - 44 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11