一种基于关联集和可用度的光伏发电系统维护策略

A maintenance strategy for a photovoltaic power generation system based on an associative set and availability

针对光伏发电系统定期维修费用较高且不能充分利用系统实时状态而动态调整维修策略的问题,在考虑设备运行状态和天气因素影响的基础上,提出了一种基于关联集和可用度的光伏发电系统动态组合维护策略。首先,从设备功能相关性出发建立关联集,以关联集为单位进行维修决策,并通过改进的马尔可夫模型预测设备和关联集状态,计算其可用度。然后,在设备维修决策阶段,以维修成本最低和可用度最高为目标,通过引入方式因子结合设备状态类型确定维修时间及方式。在关联集维修策略优化阶段,依据设备之间经济结构相关性建立共同维修决策集,从而确定系统最佳维修策略。最后,以某光伏电站为例验证了所提方法的正确性和有效性。结果表明,该方法能有效节省系统维修总费用,提高系统可用度。

There is a problem in that the periodic maintenance cost is high in a photovoltaic system and cannot make full use of the real-time state of the system to dynamically adjust the maintenance strategy.Thus a new dynamically combined maintenance strategy for a photovoltaic system based on associative set and availability is proposed by considering the influence of equipment operational status and weather factors.First,the associative set between the equipment from the functional correlation is established and used to make maintenance decisions.Then the status of equipment and the associative set is predicted through an improved Markov model and their availability is calculated.Secondly,in the stage of equipment maintenance decision-making,the lowest maintenance cost and the highest availability are the goals.The maintenance time and mode of equipment is determined by the mode factor and the equipment status.In the optimization stage of associative set maintenance strategy,a joint maintenance decision set based on the economic and structural correlation of equipments is established and the best maintenance strategy for the system is determined.Finally,a photovoltaic power station is taken as an example to verify the correctness and effectiveness of the proposed method.The results show that this method can effectively save on the total cost of system maintenance and improve the availability of the system.