Journal of Shandong University(Engineering Science) ›› 2020, Vol. 50 ›› Issue (3): 111-116.doi: 10.6040/j.issn.1672-3961.0.2019.592

• Electrical Engineering • Previous Articles     Next Articles

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

RichHTML

14

PDF (PC)

383

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

CLC Number: 

  • TM732

Fig.1

Schematic diagram of home photovoltaic devices connection"

Table 1

List of electrical appliances"

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

Table 2

Photovoltaic output on sunny or cloudy days"

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

Table 3

Benefits of the customer"

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

Fig.2

Customer benefits comparison with TOUP and CFR"

Fig.3

The influence of maximum exchange power on the customer benefits on sunny days"

Fig.4

Influence of maximum exchange power on load demand during off-peak hours on sunny days"

Fig.5

The influence of maximum exchange power on customer benefits on cloudy days"

Fig.6

Influence of maximum exchange power on customer benefits during off-peak hours on cloudy days"

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] HAN Xueshan, LI Keqiang. Theoretical study on synergistic dispatch for development of new power system [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 14-23.
[2] Shizhan SONG,Haoyu CHEN,Jian ZHANG,Kun WANG,Qingshui HAO. Voltage control method of urban distribution network considering street light charging pile access [J]. Journal of Shandong University(Engineering Science), 2020, 50(3): 104-110.
[3] Meng LIU,Dingyi CHENG,Wen ZHANG,Hengxu ZHANG,Kuan LI,Guohui ZHANG,Jianjun SU. Discussion on emergency control of central air conditioner at large receiving-end grid to cope with HVDC blocking fault [J]. Journal of Shandong University(Engineering Science), 2020, 50(1): 72-81.
[4] Yutian LIU, Runjia SUN, Hongtao WANG, Xueping GU. Review on application of artificial intelligence in power system restoration [J]. Journal of Shandong University(Engineering Science), 2019, 49(5): 1-8.
[5] Runjia SUN,Hainan ZHU,Yutian LIU. Transmission network reconfiguration strategy based on preference multiobjective optimization and genetic algorithm [J]. Journal of Shandong University(Engineering Science), 2019, 49(5): 17-23.
[6] YANG Peng-peng,HAN Xue-shan,WANG Jing,MENG Xing-xin . Unit commitment with analytic expression of probability reserve by Lagrangian relaxation method [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(2): 58-62 .
[7] SUN Donglei, YANG Si, HAN Xueshan, YE Pingfeng, WANG Xian, LIU Rui. Dynamic economic dispatching method considering time-coupling spinning reserve response risk for power system with high proportion of wind power [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 111-122.
[8] YANG Si, WANG Yan, ZHAO Bincheng, HAN Xueshan, LIU Dong, SUN Donglei. Three-stage collaborative optimal dispatching of distribution network with distributed power generation [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 55-69.
[9] LIAO Huilian, WU Ning, PENG Huakun, CHEN Qi, YE Hua, ZHANG Wen, LI Changgang. Method for determining the optimal sets of switching on alternating current filters in converter stations [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 77-83.
[10] YANG Daye, SUN Shengya, SUN Yuanyuan, WANG Shanshan, ZHAO Bing, YIN Rui, SUN Kaiqi , TIAN Chunyi. Analysis of typical alternating current/direct current fault characteristics at the receiving end of hybrid cascaded high voltage direct current system [J]. Journal of Shandong University(Engineering Science), 2023, 53(6): 131-142.
[11] ZHOU Qian, LI Qun, ZHU Dandan, LI Yibo. Coordinated inertia response control for offshore low frequency wind power system based on adaptive virtual inertia of M3C [J]. Journal of Shandong University(Engineering Science), 2025, 55(5): 30-39.
[12] AN Haiyun, ZHOU Qian, LIU Yufang, HUANG Cheng, CHEN Zhe, WU Qiuwei. A hybrid data-mechanism driven approach to active distribution network line loss calculation [J]. Journal of Shandong University(Engineering Science), 2025, 55(5): 51-61.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] ZHANG Yong-hua,WANG An-ling,LIU Fu-ping . The reflected phase angle of low frequent inhomogeneous[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 22 -25 .
[2] KONG Xiang-zhen,LIU Yan-jun,WANG Yong,ZHAO Xiu-hua . Compensation and simulation for the deadband of the pneumatic proportional valve[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 99 -102 .
[3] LAI Xiang . The global domain of attraction for a kind of MKdV equations[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 87 -92 .
[4] YU Jia yuan1, TIAN Jin ting1, ZHU Qiang zhong2. Computational intelligence and its application in psychology[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 1 -5 .
[5] JI Tao,GAO Xu/sup>,SUN Tong-jing,XUE Yong-duan/sup>,XU Bing-yin/sup> . Characteristic analysis of fault generated traveling waves in 10 Kv automatic blocking and continuous power transmission lines[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 111 -116 .
[6] QIN Tong, SUN Fengrong*, WANG Limei, WANG Qinghao, LI Xincai. 3D surface reconstruction using the shape based interpolation guided by maximal discs[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(3): 1 -5 .
[7] SUN Dianzhu, ZHU Changzhi, LI Yanrui. [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 84 -86 .
[8] HU Tian-liang,LI Peng,ZHANG Cheng-rui,ZUO Yi . Design of a QEP decode counter based on VHDL[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(3): 10 -13 .
[9] XU Li-li,JI Zhong,XIA Ji-mei . The optimum algorithm for the container loading problem with homogeneous cargoes[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(3): 14 -17 .
[10] . [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(2): 104 -107 .
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd