A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration
Guozhou Zhang, Weihao Hu, Di Cao, Qi Huang, Zhe Chen, Frede Blaabjerg
Topics & Concepts
Reinforcement learningControl theory (sociology)Electric power systemRobustness (evolution)Computer scienceWind powerAdaptive controlStability (learning theory)Control engineeringEngineeringPower (physics)Control (management)Artificial intelligenceMachine learningPhysicsBiochemistryGeneQuantum mechanicsChemistryElectrical engineeringPower System Optimization and StabilityWind Turbine Control SystemsHVDC Systems and Fault Protection