| 引用本文: | 王传志,吴宏伟,汪石农.灰色关联分析与 FCM 融合的光伏阵列状态评估(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2025，42（5）：92-99 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 随着光伏发电的大规模应用,工作于自然环境下的光伏阵列故障频发,为了能准确预测光伏阵列的状
态,提高光伏发电系统的运行安全性和发电效率,提出灰色关联分析与 FCM 融合的方法。 方法 首先,通过建立光
伏阵列的数学仿真模型,实现 I-V 曲线仿真数据和测量数据的灰色关联分析,进而计算出光伏阵列的健康指数,并
划分出健康、亚健康、异常和故障四种健康等级。 然后,针对亚健康或异常等级下且健康指数相近的光伏阵列,采
用模糊 C 均值聚类算法对相应的光伏阵列数据进行聚类得到聚类中心,利用聚类中心与测试数据代入高斯隶属度
函数,从而判断出该光伏阵列的状态类型。 结果 利用仿真与实验对该方法进行验证,结果表明:灰色关联分析与
FCM 融合的方法不仅减少了对光伏阵列运行数据的需求和计算难度;同时能够准确地判断出光伏阵列所处的状
态。 结论 灰色关联分析与 FCM 融合的方法,解决了灰色关联分析不能精确判断光伏阵列状态的问题,而且减少了
模糊 C 均值聚类算法对光伏阵列运行数据的需求量和对光伏阵列所处状态判断的工作量。 |
| 关键词: 光伏阵列 I-V 曲线 灰色关联分析 模糊 C 均值聚类 |
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| Photovoltaic Array State Evaluation Based on Fusion of Grey Relational Analysis and FCM |
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WANG Chuanzhi WU Hongwei WANG Shinong
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School of Electrical Engineering Anhui Polytechnic University Anhui Wuhu 241000 China
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| Abstract: |
| Objective With the large-scale application of photovoltaic PV power generation photovoltaic arraysoperating in natural environments are prone to frequent failures. To accurately predict the state of photovoltaic arrays andimprove the operational safety and power generation efficiency of photovoltaic systems a method combining grey relationalanalysis and fuzzy C-means FCM is proposed. Methods First a mathematical simulation model of the photovoltaicarray is established to perform a grey relational analysis between the simulated I-V curve data and measured data. Thehealth index of the photovoltaic array is then calculated and the health status is classified into four levels healthy subhealthy abnormal and faulty. Subsequently for photovoltaic arrays with sub-healthy or abnormal status and similar hcleuaslttehricnednitceerss .tThheesfeuzczlyusCte-rmceeanntsercsluanstdertiensgt daalgtaoraitrhemusiesdaipnptlhieedGtaoucssluiasntermethmebecrosrhreipspfounndcitniognPtoVdaerterarmyidnaetathetostoabtteaionftthheatpthhoetovcoolmtabicinaatriroany.oRfegsruelytsrTelhaetiopnroaploasendalymseisthoadndisFvCalMidanteodttohnrolyughredsiumceuslattihoen adnedmaenxpderfiomrenotpse.raTtihoenarlesudlattsashaonwdcomputational complexity of photovoltaic arrays but also accurately identifies the state of the photovoltaic array.Conclusion The integration of grey relational analysis and FCM addresses the issue of imprecise state assessment ofphotovoltaic arrays using grey relational analysis alone. It also reduces the data requirements and workload associated withfuzzy C-means clustering for state assessment of photovoltaic arrays. |
| Key words: photovoltaic array I-V curve grey relational analysis fuzzy C-means clustering |
