首页|基于置信规则库的干式空心电抗器状态评估方法研究

基于置信规则库的干式空心电抗器状态评估方法研究

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针对电力设备故障样本少且获取困难等问题,提出了基于置信规则库的干式空心电抗器状态评估方法.通过搭建多工况下干式空心电抗器电气及温升特性试验平台,获取不同工况下电抗器有功功率和最热点温升率数据样本集,建立基于置信规则库和证据推理的电抗器状态评估模型.为了减小因专家主观经验对状态评估模型预测结果的影响,提出置信规则库优化方法,并采用证据推理算法将电抗器输入特征信息转化为输出状态等级.利用测试数据对评估模型进行测试,结果验证了基于小训练样本的干式空心电抗器状态评估方法的有效性和准确性.
Research on condition assessment method of dry-type air core reactor based on belief rule base and evidential reasoning
Aiming at the lack of fault samples of power equipment,this paper proposes a dry-type air-core reactor condition assessment method based on belief rule base.By building a test platform for the electrical and temperature rise characteristics of dry-type air-core reactors under multiple working conditions,a data sample set of reactor active power and the temperature rise rate of the hottest point is obtained under different operating conditions.A reactor condition assessment model based on belief rule base and evidential reasoning is established.In order to reduce the influence of expert subjectivity on the prediction results of the state assessment model,a belief rule base optimization method is proposed,and the evidential reasoning algorithm is used to convert the input feature information of the reactor into the output state level.The evaluation model was tested by test data,and the results verified the validity and accuracy of the dry-type air-core reactor condition assessment method based on small training samples.

dry-type air core reactorbelief rule baseevidential reasoningcondition assessment

苏培宇、韩国文、韩文芳、陈金鹏、陈锋、史宇超、叶罕罕、袁法培

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国网杭州供电公司,浙江 杭州 310000

西安交通大学电气工程学院,陕西 西安 710049

浙江大有实业有限公司,浙江 杭州 310009

干式空心电抗器 置信规则库 证据推理 状态评估

浙江大有集团有限公司科技项目

CF058104012022002

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(4)
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