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山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (6): 93-97,106.doi: 10.6040/j.issn.1672-3961.0.2019.617

• 电气工程 • 上一篇    下一篇

基于分时电价的加权太阳能价值电价

韩方运1(),乔梁2,赵斌成3,张利3   

  1. 1. 国电物资集团有限公司, 北京 100055
    2. 国网山东电力集团公司烟台供电公司, 山东 烟台 264000
    3. 电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061
  • 收稿日期:2019-10-14 出版日期:2019-12-20 发布日期:2019-12-17
  • 作者简介:韩方运(1963—),男,北京人,高级工程师,硕士研究生,主要研究方向为电力系统自动化. E-mail: 13580628815@126.com

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

摘要:

太阳能价值电价是解决分布式光伏发电引起供电成本分摊不公和电网收益下降问题的新思路。针对目前的计算模型未考虑电网不同运行条件下的供电成本变化问题,提出基于分时电价的加权太阳能价值计算方法。按峰、平、谷三时段典型化电网运行条件,讨论了相关参数的设置,建立了改进模型。新模型更好地计及了光伏发电与电网运行的时间一致性,能够更准确地反映光伏发电的价值。仿真分析验证了本方法的有效性。

关键词: 分布式光伏, 分时电价, 加权太阳能价值, 供电成本

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

中图分类号: 

  • TP242

表1

典型用户用电负荷水平"

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

表2

某地电网分时时段"

阶段 时段
7:00—11:00, 17:00—21:00
11:00—17:00, 21:00—23:00
23:00—7:00

图1

电力公司收益随分布式光伏渗透率的变化"

图2

太阳能价值调整系数随光伏渗透率的变化"

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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