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1、促进风电消纳的需求响应与储热CHP联合优化模型黄培东1,詹红霞1,彭光斌1,张曦2,张宁2,龙飞2(1、西华大学电气与电子信息学院,成都610039;2、重庆市电力公司南岸供电局,重庆400060)摘要:传统调度方式下系统调峰能力不足,风电弃风严重。先采用需求侧管理调控负荷的方法削峰填谷、降低负荷谷时段风电弃风,再在需求响应的引导下,通过对热电联产机组(CHP,combinedheatandpower)处储热环节的控制,解耦以热定电刚性约束,增强系统调峰能力。以系统煤耗量最小为优化目标,构建了包含
2、需求响应、储热的电热联合优化调度模型。算例采用粒子群算法进行优化求解,模拟结果表明:本方法既能有效减少风电弃风,又能降低系统煤耗。关键词:风电消纳;分时电价;储热;电热系统中图分类号:TM93文献标识码:B文章编号:1001-1390(2017)00-0000-00AnoptimizationmodelofpromotingaccommodationofwindpowercombiningdemandresponseandCHPwithheatstoragetopromoteaccommodati
3、onofwindpowerHuangPeidong1,,ZhanHongxia1,,PengGuangbin1,ZhangXi2,ZhangNing2,,LongFei2(1、.SchoolofElectrical&Information,XihuaUniversity,Chengdu610039,SichuanProvinceChina.2、.Nan’an PowerSupplyCompany,Chongqing Electric Power Power Company of Cho
4、ngqing ,Company,Chongqing400060,,ChinaChongqing ))Abstract:Underthetraditionalscheduling,systemschedulingmode,thesystemloadcapacityisinsufficientandabandonedwindseriously.Firstly,withthehelpofregulationloadcapacity,thedemandresponsecanadjustuserload
5、shiftinginload-peakperiodandreducetheabandonedwind,andthen,undertheguidanceofdemandresponse,controlofthecogenerationunitheatstoragelinkof(CHP,combinedheatandpower)candecoupletheelectricheatofrigidconstraintsandimprovetheabilitytoloadcapacity.Astheopti
6、mizationgoalofminimumsystemcoalconsumptionquantity,quantity,theoptimizationschedulingmodelisconstructedincludeincludingdemandresponse,thermalstorageoptimizationschedulingmodelofelectro-thermal,andtheexampletaketakestheparticleswarmalgorithmtooptimizef
7、inish.Thesimulationresultsoftheexampleshowthatthemethodscanmethodscaneffectivelyreducetheabandonedwindwind,andcanaswellascanreducethecoalconsumptionofthesystem.Keywords:windpoweraccommodation;,time-of-useelectricityprice,demandresponse;heatstorage;E,e
8、lectricheatingsystem0引言近年来,我国风电产业蓬勃发展,蒸蒸日上。但是系统调峰能力不足与风电的反调峰特性致使风电开发与弃风问题凸显,消纳问题严重。如何有效解决风电弃风已成为制约风电持续、健康发展的关键性问题[1]。北方冬季供暖期与风电大发期叠加致使系统安全稳定性受到威胁,风电场被迫弃风。利用负荷追踪风电出力变化,解耦供暖季热电联产机组“以热定电”刚性约束的调度方式有望成为解决当前风电弃风问题的有效措施[2]。为解决风电弃风的难题,电力研究者已提出相关的解决措施。