Abstract: Anti-misoperation locking is a critical safety measure in power system operation and maintenance, preventing operators from entering live intervals or mis-switching breakers through interlocking logic. However, the execution of anti-misoperation locking involves multiple operating condition switching and complex signal inputs, where parameter tuning has long relied on manual experience and struggles to balance multiple performance indicators, leading to response lag or high misoperation rates in certain scenarios. To address these issues, a multi-index weighted parameter tuning method is proposed. This method introduces differential and integral operators with long-memory characteristics into the control structure, expanding additional tunable parameters (differential order and integral order). It enhances the utilization of historical operation ticket execution states and operating condition evolution patterns, enabling the algorithm to dynamically adjust its current output based on historical execution information, thereby significantly reducing the risk of misoperation and refusal during anti-misoperation locking. For parameter optimization, four indicators — integral of squared error (ISE), integral of time-weighted squared error (ITSE), overshoot, and settling time—are combined with a weighted approach to balance system performance requirements at different operational stages, and an iterative optimization algorithm is employed for automatic parameter searching. Simulation results show that the method achieves good tracking performance for both pulse signals and superimposed signals under noisy conditions, with fast response and high steady-state accuracy, verifying the feasibility and effectiveness of the proposed parameter tuning method in anti-misoperation locking scenarios.