基于故障更换的海上风电场大型部件备件优化策略
Optimization Strategy of Large Spare Parts Based on Fault Replacement in Offshore Wind Farm
寻健 1沈峰 1张超杰1
作者信息
- 1. 国网上海市电力公司青浦供电公司,上海 201799
- 折叠
摘要
风机的备件配置是海上风电场运维中的重要内容,为了合理配置风电场的备件数量,降低海上风电场运维和备件成本,提出了一种考虑风机部件故障更换的(S,s)备件优化策略.在此基础上结合海上天气因素和维修资源约束,建立以备件配置参数和运维组参数为决策变量,以海上风机大型部件平均费用率最低为目标的仿真优化模型,采用蒙特卡洛结合遗传算法的方法对建立的模型进行求解.最后仿真结果表明,所提出的方法可以有效地降低海上风电场备件消耗数量和运维成本,验证了所提出备件优化策略的有效性.
Abstract
Spare parts configuration for turbines is crucial in the operation and maintenance of offshore wind farms.To rationalize the allocation of spare parts and reduce operational and spare parts costs,a(S,s)spare parts optimization strategy considering turbine component replacements is proposed.This strategy integrates offshore weather factors and maintenance resource constraints,establishing a simulation optimization model with spare parts configuration parameters and operational group parameters as decision variables.The objective is to mini-mize the average cost rate of major components in offshore wind turbines using a Monte Carlo combined with ge-netic algorithm approach to solve the model.Simulation results demonstrate that the proposed method effectively reduces spare parts consumption and operational costs for offshore wind farms,validating the effectiveness of the spare parts optimization strategy.
关键词
海上风电场/故障更换/备件优化/运维策略Key words
offshore wind farm/fault replacement/spare parts optimization/maintenance strategy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据