文献类型：期刊文献

英文题名：Influence model of wind power capacity in load response system under smart grid environment

作者：Liu, Yan Gu, Ya-li Wang, Jing-min

第一作者：Liu, Yan;刘燕

通信作者：Liu, Y[1]

机构：[1]North China Elect Power Univ, Sch Econ & Mangement, Beijing, Peoples R China;[2]Guizhou Inst Technol, Key Lab Elect Power Big Data Guizhou Prov, Guiyang, Guizhou, Peoples R China

第一机构：North China Elect Power Univ, Sch Econ & Mangement, Beijing, Peoples R China

通信机构：corresponding author), North China Elect Power Univ, Sch Econ & Mangement, Beijing, Peoples R China.

年份：2020

卷号：39

期号：2

起止页码：1481-1488

外文期刊名：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

收录：;EI(收录号：20203809212304);Scopus(收录号：2-s2.0-85091085609);WOS:【SCI-EXPANDED(收录号:WOS:000568506700008)】；

基金：The study was supported by "Open Project of Key Laboratory of Electric Power Big Data of Guizhou Province, China" (Grant No. 2003008004)

语种：英文

外文关键词：Smart grid; consumption; load response; power system

摘要：With the increasing global energy crisis, wind power is gradually favored by people for its sustainability and cleanliness. When the wind power is connected with the power system, the problem of grid connection must be overcome. In order to better meet the demand load interactive response in smart grid environment, a multi-layer scheduling two-dimensional operation model was proposed. The mechanism of wind power uncertainty was analyzed. Thus, wind power prediction algorithm was established, and the concept of probability based multi-level scheduling was introduced to improve the adaptability of the model as a whole. In order to verify the reliability and effectiveness of the method, case experiments were carried out. The results show that the method can effectively help wind power consumption when ensuring economic and reliable conditions.