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光伏发电功率预测预报系统升级方案设计及关键技术实现

Upgrade of the PV Power Prediction System and Implementation of the Key Technologies

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【作者】 崔杨陈正洪成驰唐俊谷春

【Author】 CUI Yang;CHEN Zhen-hong;CHEN Chi;TANG Jun;GU Chun;Hubei Meteorological Service Center;Meteorological Energy Development Center of Hubei Province;Wuhan Science and Technology Co., Ltd.;

【机构】 湖北省气象服务中心湖北省气象能源技术开发中心武汉鼎盛科技有限公司

【摘要】 "光伏发电功率预测预报系统V2.0"开发完成于2012年初,由于国家能源行业标准《光伏发电功率预测系统功能规范》(2014)即将颁布,完善系统功能,提高系统适用性,对系统升级尤其必要。从系统框架完善、预报方法改进、网络技术应用以及功能模块优化等4个方面对"光伏发电功率预测预报系统V2.0"进行了升级。升级内容主要包括:新增集合预报法以实现多种预报方法的集成优化,新增B/S架构方式并通过Silverlight 4.0技术实现预报产品的网络发布,新增电站地理信息地图显示从而增强系统的展示性,加强入库数据的规范化管理及对系统进行发电单元划分。升级后的系统已推广应用于全国多家光伏电站,将有助于电网对光伏发电的合理有效调度及光伏电站发电效率的提高。

【Abstract】 The "Solar Power Generation Forecasting System V2.0" was developed in early 2012. As the national energy industry standardthe "Functional Specification for Photovoltaic Power Prediction System "(2014) is to be issued soon, it’s necessary to upgrade this system to further perfect its function and improve its suitability. The upgrade mainly consists the following respects. Firstly, the B/S technical architecture is added to achieve the network publishing of forecasting products through Silverlight 4.0. Secondly, the combined forecast method is included in the upgrade to integrate various forecasting methods as to improve the forecast accuracy. Thirdly, the Google Earth will be incorporated to show the geographic information of plant which can enhance the display performance of the system. Finally, the upgrade strengthens the standardized management of data and divides the system by power generation units. The upgraded system has been applied to several PV power plants and it will help to effectively schedule the photovoltaic power generation and improve the power generation efficiency.

【基金】 财政部公益性行业(气象)科研专项资助项目(GYHY201006036,GYHY201306048);中国气象局小型业务专项资助项目(中气函〔2014〕3号);湖北省气象局科技发展基金资助项目(2013Q06)~~
  • 【分类号】TM615
  • 【被引频次】8
  • 【下载频次】166
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