Restoration switching analysis with modified genetic algorithm
The method of determining back-feed paths is capable of efficiently solving multi-layer restoration problems by minimizing a fitness function using an iterative genetic algorithm. The method optimizes back-feeding of out-of-service areas by minimizing power loss, switching, unserved loads and voltage/current violations. The efficiency of the algorithm is further increased through the use of a reactive Tabu search to prevent duplicate candidate systems.
ABB Research Ltd.
G
G06N
inventional
William Zhenyuan Wenping Vaibhav D. James
Peterson Wang Li Donde Stoupis