An Improved Scatter Search Algorithm for a Generator Maintenance Scheduling Model Based on Probabilistic Production Simulation

The traditional equal-reserve principle for generator maintenance model is no longer relevant with the wind power integrated power system. In contrast to earlier reliability frameworks based on reserve capacity developed in GMS, this paper takes the EENS indicators and generation costs that can be calculated from probabilistic production simulation as the objective functions of GMS, which can more accurately measure the operational risks and economies faced by the power system. For the proposed GMS model, an improved scatter search algorithm is suggested. More dispersed solutions in the solution space may be found during the population's initiation stage, and the suggested heuristic neighborhood search algorithm is utilized to enhance the new solution. The proposed generator maintenance model and improved scatter search algorithm are verified to be effective on IEEE-RTS79 system.