The assignment of work orders is an essential part of the power operation and maintenance management system. Timely and accurate assignment methods can effectively improve the efficiency of work order circulation. In traditional operation and maintenance systems, work order assignment relies entirely on manual processing, which may lead to low assignment efficiency and inappropriate allocations. With the continuous expansion of the power system scale and the improvement of information technology in operation and maintenance management processes, relying solely on manual assignment methods can no longer meet the management needs. Based on an in-depth analysis of the characteristics of work order management in the field of power operation and maintenance, this paper proposes an automatic assignment model for power operation and maintenance work orders based on fit degree. The model adopts the CRITIC weighting method and fuzzy comprehensive evaluation (FCE) to calculate the compatibility between operation and maintenance personnel and the work orders, determine the optimal candidate for work order assignment, and then achieve automatic assignment of work orders. The results from practical applications demonstrate that, compared to manual assignment, this automatic model significantly enhances both the efficiency and accuracy of assigning work orders.