摘要
需求响应潜力的准确评估是电网调度部门制定科学合理调度计划的数据支撑,对于需求响应实施过程中涉及的各个利益主体均有重要意义。由于工业负荷用电量大且用电规律,其可挖掘的调节潜力巨大,是最理想的需求响应资源之一。首先,针对典型可调节用户,聚类分析其主要用电计划类型,并根据最大相关最小冗余准则对各用电计划进行画像;然后,以典型可调节用户不同用电计划的数据集作为训练集进行负荷超短期预测,得到典型用户在调度时段的可调节容量;最后,基于所提出的园区响应潜力评估框架,根据用电行为聚类确定各工厂所属典型可调节负荷类别,并根据各类型可调节负荷占比得到园区内对应类型负荷的可调节容量,进而得到园区总体的调节潜力。仿真结果表明,所提评估方法可分析出园区内各类可调节负荷的调节潜力,并结合园区总调节潜力的实际数据验证了评估方法的有效性。
The accurate assessment of demand response potential prorides data support for the power grid dispatch departments to formulate scientific and reasonable dispatch plans,which is of great significance to various stakeholders involved in the implementation process of demand response.Due to the high and regular electricity consumption of industrial loads,the regulatory potential that can be tapped is enormous,making it one of the most ideal demand response resources.First,for typical adjustable users,cluster analysis is conducted on their main types of electricity consumption plans,and each electricity consumption plan is depicted based on the maximal relevance and minimal redundancy criterion.Then,a dataset of typical adjustable users with different electricity consumption plans is used as the training set for the ultra-short-term load forecasting to obtain the adjustable capacity of typical users during the dispatch period.Finally,based on the proposed framework for assessing the response potential of the park,the typical adjustable load categories of each factory are determined based on the electricity consumption behavior clustering,and the adjustable capacity of the corresponding type of loads in the park is obtained based on the proportion of each type of adjustable load,thereby obtaining the total regulatory potential of the park.Simulation results show that the proposed assessment method can analyze the regulatory potential of various adjustable loads in the park,and the effectiveness of the assessment method is verified by combining actual data on the total regulatory potential of the park.
作者
范宇辉
姜婷玉
黄奇峰
鞠平
FAN Yuhui;JIANG Tingyu;HUANG Qifeng;JU Ping(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China;Marketing Service Center of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210019,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第1期41-49,共9页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51837004)
江苏省自然科学基金青年项目(SBK2023043599)。
关键词
需求响应
可调节容量
工业园区
工业负荷
聚类分析
用电行为
画像
demand response
adjustable capacity
industrial park
industrial load
clustering analysis
electricity consumption behavior
portrait
