Multi-Agent Soft Actor-Critic Aided Active Disturbance Rejection Control of DC Solid-State Transformer

Keyphrases

• Multi-agent 100%
• Solid State Transformer 100%
• Active Disturbance Rejection Control 100%
• DC Solid State Transformer (DCSST) 100%
• Soft Actor-critic 100%
• Control Method 66%
• Dynamic Performance 66%
• Controller Gain 66%
• Neural Network 33%
• Experimental Validation 33%
• Performance Metrics 33%
• Control Challenges 33%
• Optimization Methods 33%
• Mean Square Error 33%
• Uncertainty Estimation 33%
• Power Output 33%
• Input-output 33%
• Input Voltage 33%
• DC Microgrid 33%
• Tailored Strategies 33%
• Voltage Power 33%
• Yield Improvement 33%
• DC Load 33%
• Settling Time 33%
• DC Source 33%
• Uncertainty Compensation 33%
• Power Balance Control 33%
• Changing Conditions 33%
• Times Square 33%
• Gain Optimization 33%
• Environmental Scenarios 33%
• Output Voltage Regulation 33%

Engineering

• Solid State Transformer 100%
• Active Disturbance Rejection Control 100%
• Dynamic Performance 50%
• Multiagents 50%
• Controller Gain 50%
• Metrics 25%
• Output Power 25%
• Output Voltage 25%
• Adaptability 25%
• Optimization Method 25%
• Mean Square Error 25%
• DC Microgrid 25%
• Voltage Regulation 25%
• Input Voltage 25%
• Settling Time 25%
• Power Balance 25%
• Changing Condition 25%