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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"

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