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时间:2019-02-23
《考虑备用需求和风险的供电企业最优购电计划》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、第29卷第3期电网技术Vol.29No.32005年2月PowerSystemTechnologyFeb.2005文章编号:1000-3673(2005)03-0033-06中图分类号:TM714;F123.9文献标识码:A学科代码:790·625考虑备用需求和风险的供电企业最优购电计划1122周明,李庚银,严正,倪以信(1.华北电力大学电气工程学院,河北省保定市071003;2.香港大学电机与电子工程系,中国香港特别行政区)OPTIMALELECTRICITYPROCUREMENTSCHEDULEFORLOADSERVICEENTI
2、TIESINCORPORATINGWITHRESERVEANDRISKS1122ZHOUMing,LIGeng-Yin,YANZheng,NIYi-Xin(1.SchoolofElectricalEngineering,NorthChinaElectricPowerUniversity,Baoding071003,HebeiProvince,China;2.Dept.ofElectricalandElectronicEngineering,UniversityofHongKong,HongKongSAR,China)ABSTRACT:
3、TheoperationexperiencesofpresentpowerMinistryofEducation(No.20040079002)andPreliminarymarketsandtheexistingresearcheshaveproved:effectiveResearchFundforSignificantSubjectsbyNorthChinaElectricdemandsidecompetitionisessentialtolessengeneratormarketPowerUniversity.power,im
4、provethesystemreliabilityandtheutilizationKEYWORDS:Loadserviceentity;Electricityprocurement;efficiencyofpowersources.Inmostpowermarkets,Loadresourceplanning;Riskhedging;PowermarketsServiceEntities(LSE)actastheagentofconsumerstoparticipateindemandcompetition,itisthedutyo
5、fLSEfor摘要:电力市场的运行实践和已有的研究成果表明:有效的purchaseelectricityontheirconsumers'behalfbyactively需求侧竞争能够削弱发电市场力、提高系统运行的可靠性和takingpartinthecompetitionoflong-termcontractmarkets,电源的利用率。作为用户购电代理的供电企业是需求侧竞争spotmarkets,evenreservemarketswhenhavingreserve的主要参与者。为了满足用户电能和系统备用需要,供电企obligat
6、ions,sohowtoconductsuchelectricityprocurement业应综合考虑在长期合同、现货市场、备用市场上的能量分andplanningactivitiesisbecomingachallengingproblem.配和自备电厂的资源优化利用。最优购电和资源规划问题正ThispaperresearchesLSE’selectricenergypurchaseproblem,是在这样的背景下提出的,并已成为供电企业亟待解决的一andadoptsmoderninvestmenttheorytoproposean
7、optimal个新课题。作者对供电企业的电能购买优化问题进行了研modeloftheminimumpurchaseexpenditurewiththe究,运用现代投资学理论,提出了以购买费用最小为目标的considerationofaffectofvolatilitiesofspotpricesandLSE’s优化模型,考虑了现货市场价格波动风险和企业的风险容忍risktoleranceonpurchaseplanningwhichisformulatedas度对购电计划的影响,并以风险惩罚项形式并入目标函数。penaltyterma
8、ddingintheobjective.MonteCarlosimulation用蒙特卡罗仿真方法实现了对模型的求解。文中以加州电力algorithmisdevelopedtosolvetheobjectivemodel
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