您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报 (工学版) ›› 2020, Vol. 50 ›› Issue (3): 111-116.doi: 10.6040/j.issn.1672-3961.0.2019.592

• 电气工程 • 上一篇    下一篇

基于分时电价的含光伏的智慧家庭能量调度方法

潘志远1(),刘超男1,李宏伟1,王婧1,王威2,刘静1,郑鑫1   

  1. 1. 国家电网有限公司技术学院分公司,山东 济南 250002
    2. 山东科技大学机电工程系,山东 泰安 271019
  • 收稿日期:2019-10-09 出版日期:2020-06-20 发布日期:2020-06-16
  • 作者简介:潘志远(1983—),男,山东淄博人,工学博士,高级工程师,主要研究方向为电力系统及其自动化.E-mail:z.y.pan@qq.com

Energy scheduling method of smart home integrated with photovoltaic units based on time-of-use pricing

Zhiyuan PAN1(),Chaonan LIU1,Hongwei LI1,Jing WANG1,Wei WANG2,Jing LIU1,Xin ZHENG1   

  1. 1. State Grid of China Technology College, Jinan 250002, Shandong, China
    2. College of Electromechanical Engineering, Shandong University of Science and Technology, Tai'an 271019, Shandong, China
  • Received:2019-10-09 Online:2020-06-20 Published:2020-06-16

摘要:

提出一种考虑分时电价的含光伏发电的智慧家庭能量调度方法。在考虑光伏输出的条件下,基于分时电价(time-of-use pricing,TOUP),建立计及功率可调节家用电器的智慧家庭日前能量调度用户收益最大化数学模型,并考虑了家庭与电网之间双向收益方程。基于线性变换技术,将智慧家庭能量调度的混合整数规划模型转化为线性规划模型,可求得最优解;研究智慧家庭与电网之间的最大交换功率和功率可调节电器之间的协调配合对智慧家庭收益的影响。典型算例的结果验证了该模型和方法的有效性和实用性。

关键词: 智慧家庭能量调度, 光伏发电, 日前能量调度, 分时电价, 线性变换技术

Abstract:

An energy scheduling method of smart home integrated with photovoltaic (PV) generation units under time-of-use pricing (TOUP) was proposed. Based on TOUP and PV generation output, the mathematical model of day-ahead energy scheduling to obtain maximal gains for smart home was established considering the appliances with adjustable power. The bilateral gains equations of smart home and the grid were incorporated in the proposed model. Based on linear transformation method, the proposed mixed integer programming model was reformulated as a linear programming one, which made it easy to obtain optimal solution. The influence of maximal exchange power and controllable appliances on gains of smart home was also studied. Test results verified the effectiveness and practicability of the proposed model and method.

Key words: energy scheduling of smart home, photovoltaic generation, day-ahead energy scheduling, time-of-use pricing, linear transformation method

中图分类号: 

  • TM732

图1

家庭与光伏装置连接示意图"

表1

家庭电器列表"

序号设备名称日消耗/(kW·h)Pre-emptive可调
1冰箱1.3200
2电热炉2.0100
3照明灯(10)1.0000
4洗碗机1.4410
5洗衣机1.9410
6烘干机2.5010
7充电汽车(PHEV)9.9011
8加热器7.1000
9电视机0.8000
10电脑0.7000
11热水器1.5011

表2

晴天及阴天下光伏出力值"

时段/h晴天光伏出力值/(kW·h)阴天光伏出力值/(kW·h)
1-600
70.010.001
80.710.068
91.750.196
102.480.348
113.590.481
123.450.473
133.750.512
143.800.534
153.480.451
163.000.373
172.090.234
181.170.120
190.670.053
200.050.031
21-2400

表3

用户收益"

天气状况CFR/元TOUP/元
晴天10.56212.870
阴天-13.150-10.200

图2

用户在TOUP与CFR下收益对比"

图3

晴天最大交换功率对用户收益影响"

图4

晴天非高峰时段最大交换功率对负荷需求的影响"

图5

阴天最大交换功率对用户收益影响"

图6

阴天时非高峰时段最大交换功率对用户收益的影响"

1 MOHSENIAN Rad , AMIR Hamed , LEON Garcia . Optimal residential load control with price prediction in real-time electricity pricing environments[J]. IEEE Transactions on Smart Grid, 2010, 1 (2): 120- 133.
doi: 10.1109/TSG.2010.2055903
2 NAN Sibo , ZHOU Ming , LI Genyin . Optimal residential community demand response scheduling in smart grid[J]. Applied Energy, 2018, 210, 1280- 1289.
doi: 10.1016/j.apenergy.2017.06.066
3 CHERRINGTON R , GOODSHIP V , LONGFIELD A , et al. The feed-in tariff in the UK: a case study focus on domestic photovoltaic systems[J]. Renewable Energy, 2013, 50, 421- 426.
doi: 10.1016/j.renene.2012.06.055
4 PEDRASA Michael Angelo A , SPOONER Ted D , MAC-GILL Iain F . Coordinated scheduling of residential distributed energy resources to optimize smart home energy services[J]. IEEE Transactions on Smart Grid, 2010, 1 (2): 134- 143.
5 ATZENI Italo , ORDONEZ Luis G , SCUTARI Gesualdo , et al. Demand-side management via distributed energy generation andstorage optimization[J]. IEEE Transactions on Smart Grid, 2013, 4 (2): 866- 876.
6 CHEN Xiaodao , WEI Tongquan , HU Shiyan . Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home[J]. IEEE Transactions on Smart Grid, 2013, 4 (2): 932- 941.
7 OZTURK Yusuf , SENTHILKUMAR Dathcanamoorthy , KUMAR Sunil , et al. An intelligent home energy management system to improve demand response[J]. IEEE Transactions on Smart Grid, 2013, 4 (2): 694- 701.
doi: 10.1109/TSG.2012.2235088
8 LEE Sunjing , KWON Beom , LEESanghoon . Joint energy management system of electric supply and demand in houses and buildings[J]. IEEE Transactions on Power Systems, 2014, 29 (6): 2804- 2812.
doi: 10.1109/TPWRS.2014.2311827
9 WU Zhi , ZHOU Suyan , LI Jianing , et al. Real-time scheduling of residential appliances via conditional risk-at-value[J]. IEEE Transactions on Smart Grid, 2014, 5 (3): 1282- 1291.
doi: 10.1109/TSG.2014.2304961
10 LWAFUNE Yumiko , LKEGAMI Takashi , OOZEKI Takashi , et al. Cooperative home energy management using batteries for a photovoltaic system considering the diversity of households[J]. Energy Conversion and Management, 2015, 96, 322- 329.
doi: 10.1016/j.enconman.2015.02.083
11 YANNICK Riesen , BALLIF Christophe , WYRSCH Nicolas . Control algorithm for a residential photovoltaic system with storage[J]. Applied Energy, 2017, 202, 78- 87.
doi: 10.1016/j.apenergy.2017.05.016
12 YANG F , XIA X . Techno-economic and environmental optimization of a household photovoltaic-battery hybrid power system within demand side management[J]. Renewable Energy, 2017, 108, 132- 143.
doi: 10.1016/j.renene.2017.02.054
13 ERDINC Ozan , PATERAKIS Nikolaos G , MENDES Tiago D P , et al. Smart household operation considering Bi-directional EV and ESS utilization by real-time pricing-based DR[J]. IEEE Transactions on Smart Grid, 2015, 6 (3): 1281- 1291.
doi: 10.1109/TSG.2014.2352650
14 郝允梁, 王威, 张建中, 等. 一种基于负荷最优控制的智慧家庭能量调度方法[J]. 中国科技论文, 2017, 12 (23): 2746- 2750.
doi: 10.3969/j.issn.2095-2783.2017.23.019
HAO Yuliang , WANG Wei , ZHANG Jiangzhong , et al. A smart home energy scheduling method based on load optimal control[J]. China Sciencepaper, 2017, 12 (23): 2746- 2750.
doi: 10.3969/j.issn.2095-2783.2017.23.019
15 MOHSENZADEH Amin , PANG Chengzong . Two-stage residential energy management under distribution locational margin pricing[J]. Electric Power Systems Research, 2018, 154, 361- 372.
doi: 10.1016/j.epsr.2017.09.010
16 RAKIPOUR Davood , BARATI Hassan . Probabilistic optimization in the operation of energy hub with participation of renewable energy resources and demand response[J]. Energy, 2019, 173, 384- 399.
doi: 10.1016/j.energy.2019.02.021
17 WANG Shu , LUO Fengji , ZHAO YangDong , et al. Coordinated residential energy resource scheduling with human thermal comfort modeling and renewable uncertainties[J]. IET Gener Transm Distrib, 2019, 13 (10): 1768- 1776.
doi: 10.1049/iet-gtd.2018.5355
18 FLOUDAS C A . Nonlinear and mixed-integer optimi-zation: fundamentals an applications[M]. New York, USA: Oxford University Press, 1995.
[1] 尹晓敏,孟祥剑,侯昆明,陈亚潇,高峰. 一种计及空间相关性的光伏电站历史出力数据的修正方法[J]. 山东大学学报 (工学版), 2021, 51(4): 118-123.
[2] 韩方运,乔梁,赵斌成,张利. 基于分时电价的加权太阳能价值电价[J]. 山东大学学报 (工学版), 2019, 49(6): 93-97,106.
[3] 丛旖旎,曹增功,牟宏,王春义,刘玉田. 百万千瓦级滩涂光伏电站接入电网分析[J]. 山东大学学报(工学版), 2017, 47(6): 77-82.
[4] 孟祥星1,于大洋2,韩学山2,赵建国3. 太阳辐射与负荷波动的相关性对光伏发电并网的影响[J]. 山东大学学报(工学版), 2010, 40(2): 126-129.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘文亮,朱维红,陈涤,张泓泉. 基于雷达图像的运动目标形态检测及跟踪技术[J]. 山东大学学报(工学版), 2010, 40(3): 31 -36 .
[2] 孔宪明 鞠培军. 一类中立型不确定变时滞系统的稳定性新判据[J]. 山东大学学报(工学版), 2009, 39(5): 48 -51 .
[3] 姚占勇,商庆森,赵之仲,贾朝霞 . 界面条件对半刚性沥青路面结构应力分布的影响[J]. 山东大学学报(工学版), 2007, 37(3): 93 -99 .
[4] 任敬喜,耿金花,高齐圣 . 多因素多指标产品的质量优化[J]. 山东大学学报(工学版), 2007, 37(3): 114 -117 .
[5] 孙向勇 . 不含四圈,三圈不重点的平面图全染色的一个结论[J]. 山东大学学报(工学版), 2007, 37(3): 118 -121 .
[6] 贝广霞,楼佩煌,叶文华,王晓梅 . 精密加工中圆柱度在机检测关键技术[J]. 山东大学学报(工学版), 2007, 37(5): 65 -67 .
[7] 邓修成,沈艳军,方胜乐 . 多输入-多输出线性系统有限时间观测器设计方法[J]. 山东大学学报(工学版), 2008, 38(4): 17 -21 .
[8] 侯燕,杨猛. 高效解决复杂拓扑问题的显式界面追踪算法[J]. 山东大学学报(工学版), 2016, 46(4): 15 -20 .
[9] 刘斌 李术才 张庆松 李树忱 薛翊国. 隧道地质灾害预警体系中岩溶裂隙水综合预报技术研究[J]. 山东大学学报(工学版), 2009, 39(3): 115 -121 .
[10] 闫崇京 廖文和 郭宇 程筱胜. 基于多色图的BOM建模[J]. 山东大学学报(工学版), 2008, 38(6): 70 -75 .