A deep reinforcement learning algorithm for the power order optimization allocation of AGC in interconnected power grids

Keyphrases

• Power Grid 100%
• Interconnected Power Grid 100%
• Deep Reinforcement Learning Algorithm 100%
• Order Optimization 100%
• Resource Allocation Optimization 100%
• Wind Energy 50%
• Energy Storage 50%
• Power System 50%
• Novel Algorithm 50%
• Reinforcement Learning 50%
• Electric Vehicle 50%
• Deep Neural Network 50%
• Solar Power 50%
• Distributed Energy 50%
• Utilization Rate 50%
• Energy Storage Devices 50%
• Distributed Load 50%
• Hill Climbing 50%
• Control Performance 50%
• Stochastic Disturbance 50%
• Distributed Generation 50%
• Reinforcement Mechanism 50%
• Policy Dynamics 50%
• Guangdong 50%
• Fast Policy 50%
• Decision Mechanism 50%
• Prediction Mechanism 50%
• Optimal Coordinated Control 50%
• Unpredictable Perturbations 50%
• DPDPN 50%
• Distributed Generation Integration 50%
• Dynamic Base 50%
• Deep Reinforcement Learning (deep RL) 50%
• Source-grid-load 50%

Engineering

• Power Grid 100%
• Reinforcement Learning 100%
• Deep Reinforcement Learning 100%
• Distributed Power Generation 66%
• Energy Storage 66%
• Wind Power 33%
• Solar Energy 33%
• Power Engineering 33%
• Distributed Load 33%
• Adaptability 33%
• Distributed Energy 33%
• Electric Vehicle 33%
• Dynamic Policy 33%
• Deep Neural Network 33%

Chemical Engineering

• Reinforcement Learning 100%
• Deep Reinforcement Learning 100%
• Deep Neural Network 50%