Journal of Shandong University(Engineering Science) ›› 2019, Vol. 49 ›› Issue (6): 93-97.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

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
7:00—11:00, 17:00—21:00
11:00—17:00, 21:00—23:00
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"

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