Resilience optimal control strategy of microgrid based on electric spring

Abstract

Extreme natural disasters have caused severe power system blackouts in recent years. Aiming at the large-scale fault of microgrid caused by natural disasters, a resilience optimal control strategy based on electric spring is proposed to ensure the ability to restore microgrid power supply and reduce microgrid operation cost. First, a microgrid model with electric spring and water heating system can be established combined with the basic principle of electric spring. Second, a resilience optimal control strategy based on electric spring is proposed to coordinate and control the resources in the microgrid and the water heating system is regarded as a non-critical load. Based on model predictive control strategy, the coordinated control of electric spring and water heating system is realized and the microgrid resilience can be optimized. Final, the optimization ability of electric spring to microgrid resilience in eight cases is studied through the simulation experiments in MATLAB. The simulation results show that under the control of the model predictive control strategy, the electric spring can improve the ability of the microgrid to recover from disasters, control the coordinated operation of various resources in the microgrid and effectively reduce the overall operation cost of the microgrid.

Keywords

• Microgrid
• Electric spring
• Resilience
• Water heating system
• Model predictive control