Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization

Engineering

• Optimal Power Flow 100%
• Distributionally Robust Optimization 100%
• Operational Cost 66%
• Forecast Error 66%
• Flow Problem 66%
• Constraint Violation 66%
• Power Output 33%
• Assuming 33%
• Observables 33%
• Closed Loop Control 33%
• Illustrates 33%
• Metrics 33%
• Error Distribution 33%
• Specifies 33%
• Control Strategy 33%
• Numerical Example 33%
• Multistage 33%
• Predictive Control Model 33%
• Operational Risk 33%
• Real Data 33%
• Sampling Error 33%
• Renewable Energy Source 33%

Chemical Engineering

• Predictive Control Model 100%