An Optimization Method to Boost the Resilience of Power Networks with High Penetration of Renewable Energies

This paper proposes a new method to enhance the resilience of power systems with high penetrations of renewable energies. Firstly, the resilience enhancement is configured as maintaining as much electric energy to critical loads in a fixed number of post-disaster periods by properly coordinating the available resources. Secondly, an optimal decision-making method is proposed to maximize the power supply of critical loads and to minimize the instability risks considering the randomness of the output power of renewable energies. The power consumption of loads and power generation of generators and spinning reserve ratios of the renewable energy at each period are taken as controllable variables. Constraints include spinning reserve, power flow constraints, power consumption/generation limits. The interior-point method is used to solve the formulated optimization problem. It is found that a balance should be sought between decreasing stability risks and increasing the maintained loads in extreme environments. Numerical simulations verified the effectiveness and superiority of the proposed optimization method in restoring power supply and boosting grid resilience after disasters.