基于纵横维度的光伏阵列群体类比状态评估方法研究

针对光伏阵列状态评估中指标选取维度较窄，异常状态及原因判定误差较大的问题，提出一种基于纵横维度的光伏阵列群体类比状态评估方法。将光伏阵列状态评估特征参量按照递阶层次结构划分，定义时间序列节点和光伏阵列监测点。从横向角度构造基于正负理想点评估法的光伏阵列运行状态评估模型，得出某项评估指标在不同光伏阵列单元中的最佳距离度。从纵向角度利用高斯曲线拟合法构造最佳距离度与评估指标的时间函数关系，得出光伏阵列群体运行状态曲线。从而准确识别异常阵列及对应异常指标，并及时给出预警，为光伏阵列运维提供决策依据。结合实际工程的光伏数据验证该方法，结果表明，该方法能够准确反映光伏阵列的实时运行状态，具有一定的应用价值。

Research on group analogy state evaluation method of photovoltaic array based on the vertical and horizontal dimensions

In photovoltaic array state estimation, the dimensionality of indicator selected is narrow and will lead to big error in the judgment of abnormal state and reason, therefore, this paper proposes one kind of state evaluation method for PV arrays based on the vertical and horizontal dimensions. The method divides the characteristics parameters of PV array in accordance with hierarchy structure and defines time sequence nodes and monitoring points of PV array. From the horizontal angle, it constructs evaluation model of running status of PV array based on the evaluation scheme of positive and negative ideal point, and then obtains the best distance degrees of an indicator in different PV array unit. Afterwards, it uses the Gauss curve fitting to structure the function relations of time between the best distance degrees and evaluation index from the vertical angle, and then acquires the group of running state curve of PV arrays. Thereby, it effectively identifies the abnormal array and relevant indicators, gives warning timely, and provides decision basis for operation and maintenance of PV array. It verifies the assessment method combined with solar data of practical engineering, experimental results show that the method can accurately reflect the actual running condition of PV array, and has a certain application value.