A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration

Zhang, GZ; Hu, WH; Cao, D; Huang, Q; Chen, Z; Blaabjerg, F

Hu, WH (corresponding author), Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu, Peoples R China.

RENEWABLE ENERGY, 2021; 178 (): 363

Abstract

With increasing proportion of wind energy in power systems, the intermittence of such energy makes the system run a wide range of operating conditions......

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