基于自适应框架的行业可调节负荷资源研究
林跻云,冀明
(国网河北省电力有限公司营销服务中心,河北 石家庄 050000)
摘 要:为挖掘客户侧不同行业、不同工艺、不同用电设备在电力负荷高峰时期的可调节负荷潜力,提出了一种便于工程实施的行业可调节负荷测算模型。构建的模型自数据调研开始,通过建立摸排数据仓库进行数据处理,搭建负荷可调节的自适应分析模型,分别输出行业实时、日内、日前可调节负荷占比,并基于某地纺织行业负荷特性,选取纺织业的代表用户对模型的有效性及实用性进行验证,证明了该模型的输出结果准确、可靠,具有现实使用价值,为客户侧各行业可调节负荷研究提供了理论基础。
关键词: 电力负荷;可调节负荷资源;需求响应;可调节自适应框架;负荷特性;纺织行业
中图分类号:TM714 文献标识码:A 文章编号:1007-3175(2024)10-0067-06
Research on Industry Adjustable Load Resources Based on
Adaptive Framework
LIN Ji-yun, JI Ming
(State Grid Hebei Electric Power Co., Ltd. Marketing Service Center, Shijiazhuang 050000, China)
Abstract: In order to explore the adjustable load potential of different industries, different processes and different electrical equipment at the customer side in the peak period of power load, a calculation model of industry adjustable load is proposed which is convenient for engineering implementation. The constructed model starts from data investigation, through the establishment of mapping data warehouse for data processing, building load adjustable adaptive analysis model, then respectively outputting industry real-time, intra-day and pre-day adjustable load proportion. Based on the load characteristics of the textile industry in a certain region, a representative user of the textile industry is selected to verify the validity and practicability of the model. It is proved that the output result of this model is accurate and reliable, prssessing practical application value practical, and provides a theoretical basis for the study of adjustable load in various industries at the customer side.
Key words: power load; adjustable load resource; demand response; adjustable adaptive framework; load characteristic; textile industry
参考文献
[1] 程元,饶尧,丁胜. 工业领域电力需求侧可调节负荷潜力分析[J]. 能源工程,2023(1) :72-78.
[2] 孙毅,毛烨华,李泽坤,等. 面向电力大数据的用户负荷特性和可调节潜力综合聚类方法[J]. 中国电机工程学报,2021,41(18) :6259-6270.
[3] 宁剑,江长明,张哲,等. 可调节负荷资源参与电网调控的思考与技术实践[J] . 电力系统自动化,2020,44(17) :1-8.
[4] 陈雪敏,周丽霞,丁恒春,等. 基于可调节负荷参与电网需求响应的潜力挖掘研究[J] . 电子设计工程,2022,30(15) :143-146.
[5] 吴迪,王韵楚,郁春雷,等. 基于高斯过程回归的工业用户需求响应潜力评估方法[J] . 电力自动化设备,2022,42(7) :94-101.
[6] 杨景旭,李钦豪,张勇军,等. 考虑电网需求匹配度的多 EV 聚合商需求响应削峰优化建模[J] . 电力自动化设备,2021,41(8) :125-134.
[7] 梁纪峰, 范辉, 李顺, 等. 计及响应度的电力用户互动潜力画像分析[J] . 科学技术与工程,2022,22(15) :6130-6138.
[8] 张凯,冯剑,刘建华,等. 基于模糊 C 均值聚类算法的用电行为模式分类[J] . 电力需求侧管理,2022,24(3) :98-103.
[9] 刘浩田,陈锦,朱熹,等. 一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J] . 电力系统保护与控制,2021,49(5) :116-123.
[10] 张波,胡卫军,王健,等. 面向虚拟电厂的需求响应潜力评估方法研究[J]. 浙江电力,2023,42(6) :78-85.