电力系统保护与控制2024，Vol.52Issue(12)：154-166,13.DOI:10.19783/j.cnki.pspc.231100
计及劣化状态和随机故障的光伏发电系统视情维修模型以及最优检修策略
Condition-based maintenance model and optimal maintenance strategy of a photovoltaic power generation system considering deterioration state and random failure
摘要
Abstract
There are problems in existing PV power generation system maintenance strategy research,since it usually only considers the deterioration state and leads to unreasonable maintenance decisions.Thus this paper proposes a PV power generation system visual maintenance model and optimal overhaul strategy that takes into account the deterioration state and random faults.First,based on the Markov process in the discrete state,the influence of random faults on the maintenance strategy is introduced into the PV power generation system visual maintenance modeling.Then a visual maintenance model of the system taking into account the deterioration state and random fault state is established,the state of the system is detected periodically.Incomplete maintenance is carried out when the state of the system is more than the threshold value of the preventive maintenance;the minimum maintenance is carried out when there is a random fault;and replacement is carried out when it reaches the fault state.Then,an improved viscous bacteria optimization algorithm is used to find the optimal detection period and preventive maintenance threshold of the PV power generation system with the objective of the minimum total cost rate of the system for long-term stable operation.Finally,taking a PV power generation system as an example,the effectiveness and feasibility of the proposed model and strategy are verified through sensitivity analysis of the model parameters and a comparative study of the traditional maintenance model without considering the random faults.关键词
光伏发电系统/视情维修/Markov过程/随机故障/预防性维修阈值Key words
photovoltaic power generation system/condition-based maintenance/Markov process/random failure/preventive maintenance threshold引用本文复制引用
陈伟,孙存育,裴婷婷,李明..计及劣化状态和随机故障的光伏发电系统视情维修模型以及最优检修策略[J].电力系统保护与控制,2024,52(12):154-166,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.51767017 and No.51867015). 国家自然科学基金项目资助(51767017,51867015) （No.51767017 and No.51867015）
甘肃省基础研究创新群体项目资助(18JR3RA133) （18JR3RA133）
甘肃省自然科学基金项目资助(21JR7RA258) （21JR7RA258）
