基于分时电价的家庭智能用电设备的运行优化
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摘要
未来家庭用电作为智能电网的一部分,研究家庭智能用电设备的优化运行具有重要的意义。首先建立了未来典型家庭智能用电设备的数学模型。然后基于分时电价,提出一种以经济性和用户舒适度为目标的未来家庭中智能用电设备的优化运行模型,便于用户制定出满足自身需要的用电计划。最后以某典型家庭用户为例,通过建立典型日仿真场景,采用遗传算法对家庭智能用电设备的运行进行优化,仿真结果表明建立的优化模型的有效性。
As a part of the smart grid, it is of great significance to study the optimal scheduling of intelligent household electrical appliances in future household. Firstly, intelligent household electrical appliances mathematical models are established for the future typical household. Then, based on Time-Of-Use(TOU) power price, an optimal scheduling model of intelligent household electrical appliances is proposed, which aims are economy and user comfort. It is convenient for users to make their plans of electricity to meet their own needs. Finally, a typical home user is taken as an example. Through establishing the typical day of simulation scene, the genetic algorithm is used to optimize the scheduling of the intelligent household electrical appliances, and the simulation results show the effectiveness of the established optimal scheduling model.
As a part of the smart grid, it is of great significance to study the optimal scheduling of intelligent household electrical appliances in future household. Firstly, intelligent household electrical appliances mathematical models are established for the future typical household. Then, based on Time-Of-Use(TOU) power price, an optimal scheduling model of intelligent household electrical appliances is proposed, which aims are economy and user comfort. It is convenient for users to make their plans of electricity to meet their own needs. Finally, a typical home user is taken as an example. Through establishing the typical day of simulation scene, the genetic algorithm is used to optimize the scheduling of the intelligent household electrical appliances, and the simulation results show the effectiveness of the established optimal scheduling model.
引文
[1]刘振亚.智能电网技术[M].北京:中国电力出版社,2010.
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[3]张延宇,曾鹏,臧传治.智能电网环境下家庭能源管理系统优化调度算法[J].电力系统保护与控制,2016,44(2):18-26.ZHANGYanyu,ZENGPeng,ZANGChuanzhi.A schedulingalgorithmforhomeenergymanagement systeminsmartgrid[J].PowerSystemProtectionand Control, 2016, 44(2):18-26.
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[5]唐学军,韩佶,苗世洪,等.基于需求侧响应的多类型负荷协调控制模型[J].电力系统保护与控制,2017,45(16):116-123.TANGXuejun,HANJie,MIAOShihong,etal.Coordinatedcontrolmodelofmulti-typeloadbasedon demandresponse[J].PowerSystemProtectionand Control, 2017, 45(16):116-123.
[6]周磊,李扬.分时电价环境下基于家居能量管理系统的家居负荷建模与优化运行[J].电网技术, 2015, 39(2):367-374.ZHOU Lei, LI Yang. Modeling and optimal dispatch for residentialloadbasedonhomeenergymanagement systemundertime-of-usepricing[J].PowerSystem Technology, 2015, 39(2):367-374.
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[9]CARONS,KESIDISG.Incentive-basedenergy consumption scheduling algorithms for the smart grid[C]//1stIEEEInternationalConferenceonSmartGrid Communications,October4-6,2010,Gaithersburg:391-396.
[10] XIONG G, CHEN C, KISHORE S, et al. Smart(in-home)powerschedulingfordemandresponseonthesmart grid[C]//IEEEInnovativeSmartGridTechnologies(ISGT), January 17-19, 2011, Hilton Anaheim, USA:1-7.
[11]MOHSENIAN-RadAH,LEON-GarciaA.Optimal residential load control with price prediction in real-time electricity pricing environments[J]. IEEE Transactions on Smart Grid, 2010, 1(2):120-133.
[12]EROL-KANTARCI M, MOUFTAH H T. Wireless sensor networks for cost-efficient residential energy management in the smart grid[J]. IEEE Transactions on Smart Grid, 2011,2(2):314-325.
[13]LEEJW,LEEDH.Residentialelectricityload schedulingformulti-classapplianceswithtime-of-use pricing[C]//IEEE GLOBE.COM/Workshops(GC Wkshps),Deceber 5-9, 2011, Houston, USA:1194-1198.
[14]李东东,崔龙龙,林顺富,等.家庭智能用电系统研究及智能控制器开发[J].电力系统保护与控制,2013,41(4):123-129.LI Dongdong, CUI Longlong, LIN Shunfu, et al. Study of smart power utilization system and development of smart controllerforhomes[J].PowerSystemProtectionand Control, 2013, 41(4):123-129.
[15]孙毅,刘迪,李彬,等.基于家庭用电负荷关联度的实时优化策略[J].电网技术, 2016, 40(6):1825-1829.SUNYi,LIUDi,LIBin,etal.Researchonreal-time optimizationstrategy basedon correlationofhousehold electrical load[J]. Power System Technology, 2016, 40(6):1825-1829.
[16]汤奕,鲁针针,宁佳,等.基于电力需求响应的智能家电管理控制方案[J].电力系统自动化,2014,38(9):93-99.TANG Yi, LU Zhenzhen, NING Jia, et al. Management and control scheme for intelligent home appliances based on electricity demand reponse[J]. Automation of Electric Power Systems, 2014, 38(9):93-99.
[17]郭思琪,袁越,张新松,等.多时间尺度协调控制的独立微网能量管理策略[J].电工技术学报,2014,29(2):122-129.GUO Siqi, YUAN Yue, ZHANG Xinsong, et al. Energy managementstrategyofisolatedmicrogridbasedon multi-timescalecoordinatedcontrol[J].Transactionsof China Electrotechnical Society, 2014, 29(2):122-129.
[18]郝文斌,李银奇.不同电价机制下含光伏发电的家庭负荷调度经济性研究[J].电力系统保护与控制,2017,45(17):34-42.HAOWenbin,LIYinqi.Economicstudyofhousehold loadschedulingofasmarthomewithphotovoltaic systemunderdifferentpricingmechanisms[J].Power System Protection and Control, 2017, 45(17):34-42.
[19]ZHAO Z, LEE W C, SHIN Y, et al. An optimal power scheduling method for demand response in home energy management system[J]. IEEE Transactions on Smart Grid,2013, 4(3):1391-1400.
[20]Natural Resources Canada’s Office of Energy Efficiency.Energy consumption of major household appliances shipped in Canada 2009[EB/OL].[2014-06-06]. http://oee.nrcan.gc.ca/Publications/statis-tics/cama07/pdf/cama07.pdf.
[2]殷树刚,张宇,拜克明.基于实时电价的智能用电系统[J].电网技术, 2009, 33(19):11-16.YIN Shugang, ZHANG Yu, BAI Keming. A smart power utilization system based on real-time electricity prices[J].Power System Technology, 2009, 33(19):11-16.
[3]张延宇,曾鹏,臧传治.智能电网环境下家庭能源管理系统优化调度算法[J].电力系统保护与控制,2016,44(2):18-26.ZHANGYanyu,ZENGPeng,ZANGChuanzhi.A schedulingalgorithmforhomeenergymanagement systeminsmartgrid[J].PowerSystemProtectionand Control, 2016, 44(2):18-26.
[4]BARBATOA,CAPONEA.Optimizationmodelsand methodsfordemand-sidemanagementofresidential users:a survey[J]. Energies, 2014, 7(9):5787-5824.
[5]唐学军,韩佶,苗世洪,等.基于需求侧响应的多类型负荷协调控制模型[J].电力系统保护与控制,2017,45(16):116-123.TANGXuejun,HANJie,MIAOShihong,etal.Coordinatedcontrolmodelofmulti-typeloadbasedon demandresponse[J].PowerSystemProtectionand Control, 2017, 45(16):116-123.
[6]周磊,李扬.分时电价环境下基于家居能量管理系统的家居负荷建模与优化运行[J].电网技术, 2015, 39(2):367-374.ZHOU Lei, LI Yang. Modeling and optimal dispatch for residentialloadbasedonhomeenergymanagement systemundertime-of-usepricing[J].PowerSystem Technology, 2015, 39(2):367-374.
[7]HUBERTT,GRIJALVAS.Modelingforresidential electricity optimization in dynamic pricing environments[J].IEEE Transactions on Smart Grid, 2012, 3(4):2224-2231.
[8]YOZA A, HOWLADER A M, UCHIDA K, et al. Optimal scheduling method of controllable loads in smart house consideringforecasterror[C]//IEEE10thInternational ConferenceonPowerElectronicsandDriveSystems(PEDS), April 22-25, 2013, Kitakyushu, Japan:84-89.
[9]CARONS,KESIDISG.Incentive-basedenergy consumption scheduling algorithms for the smart grid[C]//1stIEEEInternationalConferenceonSmartGrid Communications,October4-6,2010,Gaithersburg:391-396.
[10] XIONG G, CHEN C, KISHORE S, et al. Smart(in-home)powerschedulingfordemandresponseonthesmart grid[C]//IEEEInnovativeSmartGridTechnologies(ISGT), January 17-19, 2011, Hilton Anaheim, USA:1-7.
[11]MOHSENIAN-RadAH,LEON-GarciaA.Optimal residential load control with price prediction in real-time electricity pricing environments[J]. IEEE Transactions on Smart Grid, 2010, 1(2):120-133.
[12]EROL-KANTARCI M, MOUFTAH H T. Wireless sensor networks for cost-efficient residential energy management in the smart grid[J]. IEEE Transactions on Smart Grid, 2011,2(2):314-325.
[13]LEEJW,LEEDH.Residentialelectricityload schedulingformulti-classapplianceswithtime-of-use pricing[C]//IEEE GLOBE.COM/Workshops(GC Wkshps),Deceber 5-9, 2011, Houston, USA:1194-1198.
[14]李东东,崔龙龙,林顺富,等.家庭智能用电系统研究及智能控制器开发[J].电力系统保护与控制,2013,41(4):123-129.LI Dongdong, CUI Longlong, LIN Shunfu, et al. Study of smart power utilization system and development of smart controllerforhomes[J].PowerSystemProtectionand Control, 2013, 41(4):123-129.
[15]孙毅,刘迪,李彬,等.基于家庭用电负荷关联度的实时优化策略[J].电网技术, 2016, 40(6):1825-1829.SUNYi,LIUDi,LIBin,etal.Researchonreal-time optimizationstrategy basedon correlationofhousehold electrical load[J]. Power System Technology, 2016, 40(6):1825-1829.
[16]汤奕,鲁针针,宁佳,等.基于电力需求响应的智能家电管理控制方案[J].电力系统自动化,2014,38(9):93-99.TANG Yi, LU Zhenzhen, NING Jia, et al. Management and control scheme for intelligent home appliances based on electricity demand reponse[J]. Automation of Electric Power Systems, 2014, 38(9):93-99.
[17]郭思琪,袁越,张新松,等.多时间尺度协调控制的独立微网能量管理策略[J].电工技术学报,2014,29(2):122-129.GUO Siqi, YUAN Yue, ZHANG Xinsong, et al. Energy managementstrategyofisolatedmicrogridbasedon multi-timescalecoordinatedcontrol[J].Transactionsof China Electrotechnical Society, 2014, 29(2):122-129.
[18]郝文斌,李银奇.不同电价机制下含光伏发电的家庭负荷调度经济性研究[J].电力系统保护与控制,2017,45(17):34-42.HAOWenbin,LIYinqi.Economicstudyofhousehold loadschedulingofasmarthomewithphotovoltaic systemunderdifferentpricingmechanisms[J].Power System Protection and Control, 2017, 45(17):34-42.
[19]ZHAO Z, LEE W C, SHIN Y, et al. An optimal power scheduling method for demand response in home energy management system[J]. IEEE Transactions on Smart Grid,2013, 4(3):1391-1400.
[20]Natural Resources Canada’s Office of Energy Efficiency.Energy consumption of major household appliances shipped in Canada 2009[EB/OL].[2014-06-06]. http://oee.nrcan.gc.ca/Publications/statis-tics/cama07/pdf/cama07.pdf.