Optimal Economic Operation of Elastic Microgrid Considering User Satisfaction

Abstract While pursuing economic operation, a bi-level optimization model for resilient microgrids is proposed to investigate the system's resilience in the face of extreme conditions. Considering pre-disaster prevention and post-disaster recovery, the model consists of an upper-level optimization model for user satisfaction and a lower-level optimization model for seeking the optimal economic operation and resilience. A hybrid Pelican algorithm incorporating various strategies such as inertia weight and Lévy flight is proposed. Numerical comparisons with test functions have verified that the proposed algorithm has better solution accuracy and convergence speed. Simulation experiments for scenarios with low probability but high damage have been conducted and compared with other algorithms, demonstrating the stronger superiority of the proposed algorithm in solving the optimal economic operation and resilience issues in microgrids.