基于ExtJs的光伏发电预测系统  

ExtJs-based Photovoltaic Power Prediction System

作　　者：李佑文[1] 王志心[1] 褚红健 秦政[1] 包德梅[1] 

机构地区：[1]国电南京自动化股份有限公司,南京210032

出　　处：《发电设备》2014年第1期70-74,共5页Power Equipment

摘　　要：鉴于光伏功率预测在光电并网中对保持电网功率平衡和电网持续有效地运行有重要意义,介绍了一种基于ExtJs的光伏电站功率预测系统的实现方式。简述了开发过程中使用的开源前端技术ExtJs,及其MVC架构和与服务器的交换方式,给出了系统所使用的自适应逻辑网络预测算法,及系统相关功能描述,对系统的性能进行评价。现场运行结果表明:该预测系统具有良好的可操作性、易维护性和预测准确性。In light of the significance of photovoltaic power prediction for keeping power balance and continuous and effective operation of the power grid during photoelectric grid connection, an implementation model of ExtJs-based photovoltaic power prediction system was introduced. An introduction was presented to the front-end technology ExtJs used in the development process and the interactive mode between its MVC framework and backend server. A description was made to the algorithm of adaptive logic network for prediction of function modules in the system. An evaluation was carried out to the performance of the prediction system. Actual operation results indicate that the system has features of good operability, easy maintenance and high prediction accuracy.

关 键 词：光伏发电 功率预测 自适应线性逻辑网络 

分 类 号：TM615.2[电气工程—电力系统及自动化]