标题:Day-ahead Generation Scheduling for Variable Energy Resources Considering Demand Response
作者:Gong, Hao; Wang, Hongtao
作者机构:[Gong, Hao; Wang, Hongtao] Shandong Univ, Key Lab Power Syst Intelligent Dispatch & Control, Minist Educ, Jinan, Peoples R China.
会议名称:IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
会议日期:OCT 25-28, 2016
来源:2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC)
出版年:2016
卷:2016-December
页码:2076-2080
DOI:10.1109/APPEEC.2016.7779852
关键词:demand response; chance-constrained programming; wind power; unit; commitment
摘要:The presence of higher penetration of renewable energy generation (RES) requires more flexible scheduling resources to maintain the balance between demand side and generation side. In addition to traditional reserve resources, demand response (DR) programs have gained much attention recently to mitigate wind power's volatility and uncertainty. To better accommodate wind power, this paper proposes a chance-constrained day-ahead generation scheduling model for variable energy resources considering DR. The model considers hourly forecast errors of wind power output and DR. A chance-constrained stochastic programming formulation is presented for the day-ahead scheduling model. Operation risk chance constraints for load shedding and wind curtailment are formulated. Reserve requirements are formulated as chance constraints in which power system reliability requirements are to be satisfied with a presumed level of high probability. The loss of load probability and the probability of wind power curtailment is less than certain level. The formulation captures both wind power output and DR uncertainties. The chance-constrained stochastic programming formulation is converted into an equivalent linear deterministic problem. The proposed model is tested in PJM 5-bus system.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009962485&doi=10.1109%2fAPPEEC.2016.7779852&partnerID=40&md5=60f8df5cb821529663f784ced328901f
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