Journal of Shandong University(Engineering Science) ›› 2019, Vol. 49 ›› Issue (6): 93-97,106.doi: 10.6040/j.issn.1672-3961.0.2019.617

• Electrical Engineering • Previous Articles     Next Articles

Weighted value of solar tariff based on time-of-use electricity price

Fangyun HAN1(),Liang QIAO2,Bincheng ZHAO3,Li ZHANG3   

  1. 1. State Grid Materials Group Co., LTD., Beijing 100055, China
    2. Yantai Power Supply Company, State Grid Shandong Electric Power Company, Yantai 264000, Shandong, China
    3. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Received:2019-10-14 Online:2019-12-20 Published:2019-12-17

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Abstract:

Value of solar tariff is a new way to solve the problem of unfair allocation of power supply costs and revenue decrease of power grid company caused by distributed photovoltaic power generation. Because the existing model did not consider the change of power supply cost under different operating conditions of power grid, a weighted solar energy value calculation method based on time-of-use electricity price was proposed in the paper. The operation conditions of the grid were typificated as peak, flat and valley periods, the setting of relevant parameters was discussed and an improved model was established. The new model accounted more for the time consistency of photovoltaic power generation and grid operation, and could reflect the value of photovoltaic power generation more accurately. Simulation analysis were done, the results demonstrated the effectiveness of the proposed model.

Key words: distributed photovoltaic, time-of-use electricity price, weighted value of solar tariff, power supply costs

CLC Number: 

  • TP242

Table 1

Load of the typical users"

组别 用户数量比例/% 用电负荷比例/%
1 0.02 0.01
2 1.47 0.70
3 13.00 8.25
4 22.00 20.00
5 21.00 20.00
6 27.00 29.00
7 11.00 15.00
8 4.50 7.00
9 0.01 0.04

Table 2

Time division of the local power grid"

阶段 时段
峰 7:00—11:00, 17:00—21:00
平 11:00—17:00, 21:00—23:00
谷 23:00—7:00

Fig.1

Variation of the power company revenue with the penetration of distributed PV"

Fig.2

Variation of solar value adjustment coefficient with PV penetration"

1 王康达, 张保会. 远方集中式与就地分布式光伏供电经济性比较[J]. 电力系统自动化, 2017, 41 (16): 179- 186.
doi: 10.7500/AEPS20161104004
WANG Kangda , ZHANG Baohui . Economy comparison of distant ground photovoltaic stations and distributed photovoltaic stations[J]. Automation of Electric Power Systems, 2017, 41 (16): 179- 186.
doi: 10.7500/AEPS20161104004
2 国家能源局.太阳能发电发展"十三五"规划[EB/OL]. (2016-12-08)[2019-10-14]. http://zfxxgk.nea.gov.cn/auto87/201612/t20161216_2358.htm.
3 王飞, 王春义, 王传勇, 等. 基于梯次利用电池储能系统的分布式光伏接入受限对策[J]. 山东大学学报(工学版), 2018, 48 (6): 109- 121.
WANG Fei , WANG Chunyi , WANG Chuanyong , et al. Restrictions and countermeasures of distributed PV integration based on secondary battery energy storage system[J]. Journal of Shandong University(Engineering Science), 2018, 48 (6): 109- 121.
4 DARGHOUTH N R , BARBOSE G , WISER R . The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California[J]. Energy Policy, 2011, 39 (9): 5243- 5253.
doi: 10.1016/j.enpol.2011.05.040
5 高正平. 分布式光伏发电并网对电网公司运营影响的分析[J]. 电力需求侧管理, 2013, 15 (6): 34- 37.
doi: 10.3969/j.issn.1009-1831.2013.06.009
GAO Zhengping . Analysis on the impact of distributed photovoltaic generationon grid company operation[J]. Power Demand Side FManagement, 2013, 15 (6): 34- 37.
doi: 10.3969/j.issn.1009-1831.2013.06.009
6 KIND P . Disruptive challenges: financial implications and strategic responses to a changing retail electric business[M]. Washington, USA: Edison Electric Institute, 2013.
7 邢相军, 邓潇玥. 我国光伏电站上网电价定价机制研究[J]. 价格理论与实践, 2014, (2): 65- 67.
XING Xiangjun , DENG Xiaoyue . Research on pricing mechanism of on-grid electricity price of PV power plants in China[J]. Price(Theory & Practice), 2014, (2): 65- 67.
8 范斌, 姚瑜, 褚燕. 分布式光伏上网电价国际经验及其对我国的启示[J]. 华东电力, 2014, 42 (10): 2197- 2200.
FAN Bin , YAO Yu , CHU Yan . International policyof distributed photovoltaic feed-in tariffand enlightenment to China[J]. East China Electric Power, 2014, 42 (10): 2197- 2200.
9 王斯成. 如何科学测算光伏分区标杆电价[J]. 太阳能, 2017, (3): 13- 20.
doi: 10.3969/j.issn.1003-0417.2017.03.002
WANG Sicheng . How to scientifically calculate the PV partition price[J]. Solar Energy, 2017, (3): 13- 20.
doi: 10.3969/j.issn.1003-0417.2017.03.002
10 吴兴全, 李秋鹏, 乔梁, 等. 分布式光伏发电定价方法探讨[J]. 电力需求侧管理, 2016, 18 (5): 10- 14.
doi: 10.3969/j.issn.1009-1831.2016.05.003
WU Xingquan , LI Qiupeng , QIAO Liang , et al. Discussion on pricing methods of distributed photovoltaics[J]. Power Demand Side Management, 2016, 18 (5): 10- 14.
doi: 10.3969/j.issn.1009-1831.2016.05.003
11 NEGASH A I, KIRSCHEN D S. Combined optimal retail rate restructuring and value of solar tariff[C]// IEEE Power ＆ Energy Society General Meeting. Colorado, USA: IEEE, 2015.
12 丁宁, 吴军基, 邹云. 基于DSM的峰谷时段划分及分时电价研究[J]. 电力系统自动化, 2001, 25 (23): 9- 12.
doi: 10.3321/j.issn:1000-1026.2001.23.003
DING Ning , WU Junji , ZOU Yun , et al. Research of peak and valley time period partition approach and TOU price on DSM[J]. Automation of Electric Power Systems, 2001, 25 (23): 9- 12.
doi: 10.3321/j.issn:1000-1026.2001.23.003
13 高效, 李成仁. 国外多部制电价制度探析与启示[J]. 大众用电, 2010, (2): 3- 4.
doi: 10.3969/j.issn.1009-1831.2016.05.003
GAO Xiao , LI Chengren , et al. Analysis and enlightenment of foreign multi-system electricity price system[J]. Popular Utilization of Electricity, 2010, (2): 3- 4.
doi: 10.3969/j.issn.1009-1831.2016.05.003
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