分时电价下考虑舒适度的家庭负荷调节特性分析Analysis of Household Load Regulation Considering Comfort under TOU Price
张爽,丁麒,景伟强,何韵,谷泓杰
ZHANG Shuang,DING Qi,JING Weiqiang,HE Yun,GU Hongjie
摘要(Abstract)：
传统用电方式及收费方式不仅存在电能浪费,也使得用户的用电成本居高不下,用户参与需求侧管理可在满足用电舒适度的情况下对电能成本进行优化。首先根据调节特性对居民用电负荷分类进行分析,针对不同类负荷设备的特点建立数学模型;然后以最优化电能成本及满足用户用电舒适度为目标,建立基于分时电价的优化模型;最后通过仿真分析验证了在满足用户舒适度的前提下,通过分时电价可以有效节约电费。
The traditional way of electricity consumption and charging not only wastes the power but also keeps the power cost of the users high. The user's participation in DSM can optimize the energy cost under the condition of satisfying power consumption comfort. First of all, according to the regulation characteristics,the classification of the residents′ electricity load is analyzed, and the mathematical model is set up according to the characteristics of different types of load equipment; then, the optimization model based on TOU price is established with the objective of optimizing the energy cost and satisfying the user's consumption comfort;finally, through simulation analysis, it is proved that the electricity price can be effectively saved under the premise of satisfying the user′s comfort degree.
关键词(KeyWords)：
负荷特性;分时电价;优化模型;舒适度指数
load characteristics;TOU price;optimization model;comfort index
基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211DS15002S)
作者(Author):
张爽,丁麒,景伟强,何韵,谷泓杰
ZHANG Shuang,DING Qi,JING Weiqiang,HE Yun,GU Hongjie
DOI: 10.19585/j.zjdl.201712009
参考文献(References)：
- [1]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.
- [2]阮文骏,王蓓蓓,李扬,等.峰谷分时电价下的用户响应行为研究[J].电网技术,2012,36(7):86-93.
- [3]LEE J,PARK G L,KIM S W,et al.Power consumption scheduling for peak load reduction in smart grid homes[C]//ACM Symposium on Applied Computing.DBLP,2011:584-588.
- [4]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.
- [5]马永武,赵国生,黄明山,等.峰谷分时电价下用户需求响应行为模型的研究[J].郑州大学学报(理学版),2015,47(4):119-122.
- [6]孔祥玉,杨群,穆云飞,等.分时电价环境下用户负荷需求响应分析方法[J].电力系统及其自动化学报,2015,27(10):75-80.
- [7]CARON S,KESIDIS G.Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid[C]//First IEEE International Conference on Smart Grid Communications.IEEE,2010:391-396.
- [8]LEE J W,LEE D H.Residential electricity load scheduling for multi-class appliances with Time-of-Use pricing[C]//IEEE GLOBECOM Workshops.IEEE,2011:1194-1198.
- [9]HUBERT T,GRIJALVA S.Modeling for Residential Electricity Optimization in Dynamic Pricing Environments[J].IEEE Transactions on Smart Grid,2012,3(4):2224-2231.
- [10]李春燕,许中,马智远.计及用户需求响应的分时电价优化模型[J].电力系统及其自动化学报,2015,27(3):11-16.
- [11]董军,张晓虎,李春雪,等.自动需求响应背景下考虑用户满意度的分时电价最优制定策略[J].电力自动化设备,2016,36(7):67-73.
- [12]于雷,汤庆峰,张建华.基于负荷资源分类建模和启发式策略的家居型微电网优化运行[J].电网技术,2015,39(8):2180-2187.
- [13]佚名.室内空气质量标准[C]//全国供热技术研讨会.2004.
- [14]林启开,王珂,余昆,等.峰谷电价下居民用电聚合响应特性分析[J].电力工程技术,2017,36(3):88-93.