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恶劣环境中风光互补电路故障在线检测系统设计 被引量:3

Design of On-line Detection System for Wind-solar Complementary Circuit Fault in Harsh Environment
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摘要 由于传统方法在恶劣环境下检测风光互补电路故障的效果差、抗干扰性能低,设计风光互补电路故障在线检测系统。首先建立在线检测系统总体逻辑结构,分析检测系统的硬件与软件组成要求。结合硬件要求,对检测系统电路中风机控制器与光伏控制器的电流进行控制,实现平衡负载及提升蓄电池续航能力;在检测系统中,设置上位机与下位机共同组成其故障检测模块,结合系统功能模块及障碍检测算法完成系统故障的全面检测。实验结果表明,所设计系统在恶劣环境中对故障检测准确率高于93%,对不同类型故障的平均故障检测时间和检测结果误差率分别为1.93 s和2.11%,远远低于对比系统,说明该系统的检测效率高。 Due to the poor effect and low anti-interference performance of the traditional methods in detecting the wind-solar complementary circuit fault in harsh environment,an on-line fault detection system for the wind-solar complementary circuit in harsh environment is designed.Firstly,the overall logic structure of the online detection system is established,and its hardware and software requirements are analyzed.According to the hardware requirements,the current in the fan controller and photovoltaic controller of the detection system circuit is controlled to balance load and improve the battery endurance.In the detection system,the upper and lower computers together constitute the fault detection module,and the comprehensive detection of system fault is completed by combining the system function modules and the obstacle detection algorithm.Experimental results show that the fault detection accuracy of the designed system in harsh environment was higher than 93%;the average fault detection time and error rate of detection results for different types of fault were 1.93 s and 2.11%,respectively,which were far lower than those of the comparative system,indicating that the detection efficiency of the novel system was higher.
作者 郭怡婷 王俊年 GUO Yiting;WANG Junnian(Department of Construction Equipment Engineering,Hunan Urban Construction College,Xiangtan 411101,China;School of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)
出处 《电源学报》 CSCD 北大核心 2019年第6期137-144,共8页 Journal of Power Supply
基金 湖南省教育厅科学研究课题资助项目(15C0239) 国家自然科学基金资助项目(60974048)~~
关键词 恶劣环境 风光互补发电 故障 在线检测 控制器 故障树 harsh environment wind-solar complementary power generation fault online test controller fault tree
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