基于实测数据的分布式电采暖负荷群调峰能力评估

doi:10.3969/j.issn.1000-7229.2018.12.012

电力建设 ›› 2018, Vol. 39 ›› Issue (12): 95-101.doi: 10.3969/j.issn.1000-7229.2018.12.012

基于实测数据的分布式电采暖负荷群调峰能力评估

杨玉龙1, 王彤1，穆钢1，严干贵1，刘劲松2，韩月2，刘芮彤2，范维2

1.东北电力大学电气工程学院, 吉林省吉林市 132012；2.国网辽宁省电力有限公司电力科学研究院，沈阳市 110000

出版日期:2018-12-01
作者简介:杨玉龙（1986），男，博士，通信作者，讲师，主要研究方向为电力系统优化调度，综合能源系统优化，风电并网消纳；王彤（1993），男，硕士研究生，主要研究方向为需求侧管理；穆钢（1957），男，博士，教授，主要研究方向为新能源发电、电力系统稳定性分析；严干贵（1971），男，博士，教授，主要研究方向为新能源发电联网运行分析与控制；刘劲松（1975），男，硕士，高级工程师，主要研究方向为电力系统及其自动化；韩月（1978），女，硕士，高级工程师，主要研究方向为电力系统及其自动化；刘芮彤（1988），女，学士，工程师，主要研究方向为电力系统及其自动化；范维（1984），男，硕士，高级工程师，主要研究方向为电力系统及其自动化。
基金资助:
国家重点研发计划项目（2017YFB0902200）；2017国家电网公司科技项目（2017GW-20）

Evaluation of Peak-Shaving Capability of Distributed Electric Heating Load Group Based on Measured Data

YANG Yulong1, WANG Tong1, MU Gang1,YAN Gangui1, LIU Jinsong2,HAN Yue2, LIU Ruitong2,FAN Wei2

1.School of Electrical Engineering，Northeast Electric Power University，Jilin 132012，Jilin Province，China；2.Electric Power Research Institute，State Grid Liaoning Electric Power Co., Ltd.，Shenyang 110000， China

Online:2018-12-01
Supported by:
This work is supported by National Key Research and Development Program of China （No.2017YFB0902200） and State Grid Corporation of China Research Program（No.2017GW-20）.

摘要/Abstract

摘要： 在我国风电渗透率较高的地区电网中，由于风电具有反调峰特性，危害电力系统安全运行，电源侧调节资源逐渐匮乏，挖掘分布式电采暖负荷调峰能力，是解决该问题的有效途径。文章建立基于建筑参数的电采暖负荷模型以及调峰能力评估模型，然后进行调峰实验验证可行性并拟合严寒地区模型参数，最后基于仿真，从时移电量和调峰成本两方面描述严寒地区典型居民楼调峰能力，并分析时移电量和调峰成本的影响因素。

关键词: 电采暖负荷, 调峰能力, 时移电量, 调峰成本

Abstract: In the regional power grid with high wind power penetration rate in China, the wind power has anti-peaking characteristics, which harms the safe operation of the power system. The source side regulation are gradually lacking, and developing the peak-shaving capability of distributed electric heating load is an effective way to solve this problem. In this paper, an electric heating load model based on building parameters and a peak-shaving capability evaluation model are established. Then the peak-shaving experiment is carried out to verify the feasibility and fit the model parameters in the severe cold region. Finally, on the basis of simulation, the peak-shaving capability of typical residential building in the severe cold region is given from two aspects: time-shift power and peak-shaving cost. And the factors affect the time-shift power and peak-shaving costs are analyzed.

Key words: electric heating load, peak-shaving capability, time-shift power, peak-shaving cost

中图分类号:

TM 732

杨玉龙, 王彤，穆钢，严干贵，刘劲松，韩月，刘芮彤，范维. 基于实测数据的分布式电采暖负荷群调峰能力评估[J]. 电力建设, 2018, 39(12): 95-101.

YANG Yulong, WANG Tong, MU Gang,YAN Gangui, LIU Jinsong,HAN Yue, LIU Ruitong,FAN Wei. Evaluation of Peak-Shaving Capability of Distributed Electric Heating Load Group Based on Measured Data[J]. Electric Power Construction, 2018, 39(12): 95-101.

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基于实测数据的分布式电采暖负荷群调峰能力评估

Evaluation of Peak-Shaving Capability of Distributed Electric Heating Load Group Based on Measured Data

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