Modeling and Solution of Offshore Wind Farm Maintenance Scheduling

Abstract

Wind resources are considered to be one of the most promising alternative energy sources. It is difficult to achieve the maximum utilization of wind energy by artificial maintenance scheduling, because of poor operating environment, poor site accessibility, and other objective factors such as randomness. According to health of turbines, wind power forecasting results, maintenance resource availability, weather and other factors, how to achieve the minimum maintenance cost and minimum wind power loss of offshore wind farms in the short-term maintenance task optimization scheduling is still a difficult problem facing the industry. This paper presented an optimization model for the scheduling of short term maintenance scheduling in offshore wind field, the optimization model belongs to nonlinear optimization problem with constraints, and uses the Gurobi to solve the optimization problem with the minimum wind field maintenance cost and the minimum wind power loss.