Journal of Shandong University(Engineering Science) ›› 2018, Vol. 48 ›› Issue (5): 131-136.doi: 10.6040/j.issn.1672-3961.0.2018.270

• Electrical Engineering • Previous Articles    

PV installed capacity planning for power distribution network based on time series production simulation

Shizhan SONG1,Chuanyong WANG1(),Wenwen KANG1,Jian ZHANG1,Honghua YAN2,*(),Peng LI2   

  1. 1. State Grid Zaozhuang Power Supply Company, Zaozhuang 277800, Shandong, China
    2. Shandong Green Power Tech Co., Ltd., Jinan 250061, Shandong, China
  • Received:2018-07-04 Online:2018-10-01 Published:2018-07-04
  • Contact: Honghua YAN E-mail:15266172927@163.com;sdgrtech@163.com
  • Supported by:
    国网山东省电力公司科技资助项目(2017A82)

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Abstract:

Based on time series production simulation, an optimization model was built to optimize PV installed capacity for distribution network with integration of wind and solar power. The optimal installed capacity of the photovoltaic system was given according to the different wind/PV curtailment ratios. Simulations revealed that the proposed planning method guaranteed the reasonable revenue of wind power/PV and maximized the integration of PV generation with a certain level of wind/PV curtailment ratio, which improved utilization level of renewable energy generation.

Key words: renewable energy, wind/PV curtailment, distribution network, PV planning, time series production simulation

CLC Number: 

  • TM615

Fig.1

Flow chart of PV installed capacity planning"

Fig.2

Load sequence in 2016"

Fig.3

Normalized data of theoretical wind power"

Fig.4

Normalized data of theoretical PV power"

Fig.5

Normalized curve of theoretical wind/PV mean daily power"

Fig.6

Wind/PV theoretical utilization hours"

Table 1

PV capacity, generation and curtailment ration under different scenarios"

场景 SPV/MW EPV0/(GW·h) EPV/(GW·h) EPVC/(GW·h) EWC/(GW·h) ETC/(GW·h)
1 31.87 32.75 32.75 0.00 0.00 0.00
2 52.07 53.51 53.43 0.07 0.79 0.87
3 68.20 70.07 67.67 2.40 2.68 5.08
4 82.82 85.10 77.50 7.60 3.97 11.57
5 96.40 99.05 84.66 14.39 5.00 19.39

Fig.7

Iteration process of scenario 3"

Fig.8

Power area stacking diagram in Feb. 26 under scenario 3"

Fig.9

Monthly curtailment generation of wind"

Fig.10

Monthly curtailment generation of PV"

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