AN IMPROVED OPTIMIZATION ALGORITHM FOR NETWORK SKELETON RECONFIGURATION AFTER POWER SYSTEM BLACKOUT

Network skeleton reconfiguration is an important task during power system restoration after blackout. The uncertainty of the restoration time and the restoration successful rate during the network skeleton reconfiguration are considered in the paper. The restoration time of transmission lines and transformers, units' startup time limit and the restoration successful rate are selected as trapezoidal fuzzy variables. The optimal network skeleton reconfiguration model after power system blackout is constructed based on a fuzzy chance-constrained programming. An optimization algorithm combining fuzzy simulation with PSO is implemented to solve the optimal model. The optimal network skeleton with higher reliability and the restoration sequence which meet a certain confidence level are optimized by the proposed method. The restoration sequence can ensure the restoration as quickly as possible. The effectiveness of the proposed method is validated by Matlab with IEEE 30 bus system test.