大数据 ›› 2015, Vol. 1 ›› Issue (4): 97-108.doi: 10.11959/j.issn.2096-0271.2015043

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基于电力运营大数据分析实现节能减排

方世清   

  1. 中国神华神皖能源有限责任公司 合肥 230041
  • 出版日期:2015-11-20 发布日期:2020-09-28
  • 作者简介:方世清,男,现为中国神华神皖能源有限责任公司副总经理、高级工程师,长期从事火电厂热控自动化、信息化、生产和经营管理、电厂优化运行、数字化管理、系统集成方面的研究工作,目前负责公司发展战略规划。

Based on the Power Operating Data Analysis to Achieve Energy Conservation and Emissions Reduction

Shiqing Fang   

  1. China Shenhua Shenwan Energy Co., Ltd., Hefei 230041, China
  • Online:2015-11-20 Published:2020-09-28

摘要:

研究解决全国火电机组出力系数普遍较低,旋转备用率偏大的问题。通过对近年来安徽电网发电、用电负荷特性数据以及2014年全国大机组竞赛的大量数据进行挖掘和分析,提出了解决问题的几个方案:一是优化电力调度,减少机组在网运行时间;二是增加机组利用小时;三是优化机组设计,降低主辅设备出力富裕度,按IEC标准定义湿冷机组的铭牌;四是发电集团内部机组电量分配优化;五是国家能源局修订电量偏差不大于2%的监管政策。据此可大幅提高火电机组的出力系数,降低旋转备用率和发电煤耗,减少主要污染物排放量,实现企业经济效益和社会效益双丰收。

关键词: 出力系数, 优化电力调度, 优化机组设计, 节能减排

Abstract:

To solve the questions that the thermal power unit efficiency coefficient is generally low and spinning reserve ratio is large, amounts of data mining and analysis about the electricity load characteristic data of power generation in Anhui power grid and the 2014 national competition in the large sets have been done in recent years.The five solutions were proposed.The proposed solutions can dramatically improve the efficiency coefficient of thermal power unit.At the same time, spinning reserve rate, the power generation coal consumption and the main pollutant emissions will be reduced.Thus, the enterprise economic and social benefits will be double achieved.

Key words: efficiency coefficient, optimization of power dispatch, optimize the design of the unit, energy conservation and emission

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