...
首页> 外文期刊>IEEE transactions on industrial informatics >Enhanced Nationwide Wind-Electric Power Monitoring and Forecast System
【24h】

Enhanced Nationwide Wind-Electric Power Monitoring and Forecast System

机译:增强型全国风电监测预报系统

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper describes an enhanced monitoring and forecast system for the electrical power generated from wind in Turkey. Wind power plant (WPP) owners, transmission system operator, distribution system operators, and renewable energy experts are the shareholders of this system. The developed monitoring and forecast system is composed of wind electricity analyzers and reference wind masts, one for each WPP, a Wind-Electric Power Monitoring and Forecast Center (WPMFC) equipped with database, data processing, and application servers, and the associated monitoring and forecast software. All shareholders can communicate with the developed WPMFC in order to retrieve preprocessed wind-electric power forecast data and power quality data, through the IP network according to their authorization level. The electrical and meteorological raw data can also be retrieved for postprocessing. The developed system is based on global positioning system (GPS) synchronized, real-time field measurements taken from each WPP, in addition to the use of mesoscale numerical weather prediction models. Instantaneous electrical and meteorological quantities of each WPP can be monitored continuously through the WPMFC. The forecast system employs physical, statistical, and hybrid models combining both approaches. Some sample monitoring and forecast results are given in the paper to illustrate the benefits and abilities of the developed system.
机译:本文介绍了一种增强的土耳其风能发电监测和预报系统。风电厂(WPP)所有者,传输系统运营商,配电系统运营商和可再生能源专家是该系统的股东。发达的监测和预报系统由风力分析仪和参考风杆组成,每个WPP都有一个,风力发电监测和预报中心(WPMFC)配备数据库,数据处理和应用服务器,以及相关的监测和控制系统。预测软件。所有股东可以根据其授权级别,通过IP网络与已开发的WPMFC通信,以检索预处理的风电功率预测数据和电能质量数据。还可以检索电气和气象原始数据以进行后处理。除了使用中尺度数值天气预报模型之外,开发的系统还基于从每个WPP进行的全球定位系统(GPS)同步,实时野外测量。可以通过WPMFC连续监视每个WPP的瞬时电量和气象量。预测系统采用结合了两种方法的物理,统计和混合模型。本文提供了一些样本监视和预测结果,以说明已开发系统的优势和能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号