A two-stage SCUC model for distribution networks considering uncertainty and demand response

Area of Science:

• Electrical Engineering
• Power Systems
• Optimization

Background:

• Demand response (DR) is crucial for power grid reliability, especially with intermittent renewable energy sources like wind power and potential component failures.
• Existing methods often struggle to adequately address the combined uncertainties of wind power generation and power system component outages.
• Optimizing real-time pricing is a key strategy to incentivize flexible electricity consumption and enhance grid management.

Purpose of the Study:

• To develop a robust two-stage security-constrained unit commitment (SCUC) model that incorporates uncertainties in wind power output and component failures.
• To design an effective real-time pricing mechanism that indirectly influences demand response (DR) behavior.
• To reduce overall operational costs and improve the peak load shifting and valley filling capacity of the power system.

Main Methods:

• Modeling wind power uncertainty using Self-Organizing Maps (SOM).
• Simulating power system component failures with Monte Carlo methods.
• Developing a real-time pricing scheme to encourage user participation in DR.
• Employing the Marine Predator Algorithm (MPA) for optimization of the SCUC model.

Main Results:

• The proposed SCUC model effectively manages uncertainties from wind power and component failures.
• The optimized real-time pricing strategy successfully stimulated user electricity consumption behavior.
• Simulation on the IEEE-RTS system demonstrated a 10% reduction in total operating costs.
• Significant improvements in peak load shifting and valley filling were observed.

Conclusions:

• The integrated approach of SCUC, uncertainty modeling, and optimized pricing provides a viable solution for enhancing power system operation.
• The study confirms the effectiveness of DR, stimulated by real-time pricing, in improving grid stability and economic efficiency.
• The proposed methodology offers a practical framework for power operators to navigate operational challenges posed by renewable energy integration and system reliability concerns.