基于分区分层前推回代算法的光伏阵列运行状态评估方法

Evaluation method of PV array of running status based on layered and divisional forward and backward algorithm

基于光伏阵列规模较大和辐射型网络且集电单元间耦合较弱的特点,提出了一种基于分区分层前推回代算法的光伏阵列运行状态评估方法,实现对光伏阵列运行状态的准确评估。重点论述了分区分层前推回代算法原理、节点支路矩阵求解和概率统计方法及评估流程。结合新疆某新建20 MWp光伏电站5 MWp光伏阵列系统参数,采用Matlab7.0验证该方法。仿真结果表明:该方法能正确输出5 MWp阵列运行状态的评估数据概率分布和评估结果概率密度,能准确评估阵列运行状态。解决了单一评估算法难以准确评估大规模光伏阵列运行状态的缺陷,提高了工程实用性。此外,该方法具有迭代次数少,收敛速度快,计算效率高等优点。

In order to accurately valuate the running state of the PV array, based on the PV array radial distribution electric network structure and the characteristics of randomness of output power, this paper proposes evaluation method of PV array of running status based on layered and divisional forward and backward algorithm. It discusses mainly the layered and divisional forward and backward algorithm, how to search the branch and node, probability and statistics method and evaluation process. It refers to 5 MWp PV array parameters of the new 20 MWp PV station and uses Matlab7.0 to verify this method. Simulation results show this method can correctly output evaluation data probability distribution and probability density of 5 MWp PV array running state, and can accurately evaluate the running state of PV array. This method solves the problem that single algorithm accurately assess running status of large scale PV arrays. In addition, this method has less number of iterations, fast speed, and high computational efficiency.