基于记忆遗传算法的海上风电场运维调度研究

Investigation on Operation and Maintenance Scheduling of Offshore Wind Farm Based on Memory Genetic Algorithm

综合考虑海上风电场的多种因素,以海上风电场运维调度成本最低为优化目标,基于两种改进记忆遗传算法,求解运维队列。并以某海上风电场的实际数据为基础,模拟不同的运维场景,对传统记忆遗传算法和两种改进记忆遗传算法进行验证。

With comprehensive consideration of the multiple factors of offshore wind farms,taking the minimum cost of operation and maintenance of offshore wind farms as the optimization goal,the operation and maintenance queues were solved based on two improved memory genetic algorithms.Based on the real data of an offshore wind farm,different operation and maintenance scenarios were simulated,and the traditional memory genetic algorithm and two improved memory genetic algorithms were verified.