The exploration and practice of“valley shaft”demand response in Jiangsu grid

马琎劼; 徐正安

doi:10.3969/j.issn.1009-1831.2018.06.012

您当前的位置：

首页 >

文章列表页 >

The exploration and practice of“valley shaft”demand response in Jiangsu grid

更新时间：2026-03-05

- The exploration and practice of“valley shaft”demand response in Jiangsu grid
- Vol. 20, Issue 6, (2018)
- 作者机构：
  
  国网南京供电公司,南京,210012
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2018.06.012
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
马琎劼, 徐正安. The exploration and practice of“valley shaft”demand response in Jiangsu grid[J]. 2018, 20(6).
DOI：

马琎劼, 徐正安. The exploration and practice of“valley shaft”demand response in Jiangsu grid[J]. 2018, 20(6). DOI： 10.3969/j.issn.1009-1831.2018.06.012.

摘要

受春节期间负荷整体水平较低的影响，江苏电网火电机组开机数量较少，电网调峰、调差困难。同时春节用电低谷时段恰好也是风电、光伏等新能源发电的旺盛时段，新能源发电被迫低功率运行参与电网调差，不利于新能源的及时、充分消纳。为解决春节期间电网调差及新能源消纳难题，江苏电网于2018年春节期间（2月16—18日）组织了省内首次“填谷”需求响应。单次最大响应负荷为168万kW，3日累计响应负荷928万kW，有效缓解了电网调峰、调差压力，保障了本地区新能源发电的全额消纳。

Abstract

Under the influence of low-level load during the Spring Festival

the thermo electric generating set of Jiangsu grid fails to open enough thermal generators

leading to the difficulty in regulating peak and valley load. The valley load period during the Spring Festival is just the period when renewable energy

such as wind and photovoltaic

reaches its peak in generating power

renewable energy generation is forced to participate in regulating the load at a low capacity

adding a negative effect on the full utilization of renewable energy. To deal with the above problems

State Grid Jiangsu Electric Power Company organized the first provincial “valley shaft”demand response during the Spring Festival (Feb.16th-18th)

providing the load of 1.68 million kilowatts at one time and 9.28 million kilowatts in total. This action efficiently alleviates the pressure on regulating the power load

assuring the full utilization of the renewable energy generation in this region.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on distributionally robust optimization based group tuning control strategy for distributed photovoltaic system under solar load gap

Optimal scheduling of virtual power plant based on energy storage and conditional value at risk

Intelligent building demand response optimization strategy for flexible load and carbon trading mechanism

Research on multi state interaction capability of central air conditioning system based on data driven approach

Rapid evaluation method of large-scale air conditioning demand response potential based on simulation model library

Related Author

田闽哲

李俊楠

何心铭

郭露方

马茗婕

黄梦旗

易文飞

叶志刚

Related Institution

国网河南省电力公司营销服务中心

国网江苏省电力有限公司电力科学研究院

国网江苏省电力有限公司盐城供电公司

需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）

华北电力大学电气与电子工程学院

AI问答

⁰