Journal of Shandong University(Engineering Science) ›› 2021, Vol. 51 ›› Issue (1): 69-75, 86.doi: 10.6040/j.issn.1672-3961.0.2020.361

• Electrical Engineering • Previous Articles     Next Articles

Day-ahead optimal scheduling considering the constraints of UHVDC transmission and wheeling contracts

Dexin LI1(),Chonglin ZONG2,*(),Jiarui WANG1,Haifeng ZHANG1,Chang LIU1,Dawei HUANG2   

  1. 1. State Grid Jilin Electric Power Research Institute, Changchun 130021, Jilin, China
    2. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, Jilin, China
  • Received:2020-08-31 Online:2021-02-20 Published:2021-03-01
  • Contact: Chonglin ZONG E-mail:lidexin0323@163.com;zongcl0088@163.com

Abstract:

The operational characteristics of ultra-high voltage direct current (UHVDC) transmission and the impact of wheeling contracts on power grid operation and dispatching were analyzed, and a grid-optimized dispatching model considered the constraints of UHVDC transmission and inter-subnet wheeling contracts was established. The model aimed at the minimum operating cost of the power grid and the minimum of wind and photovoltaic curtailment, at the same time, the power constraints of the transmission and wheeling of AC and DC lines were considered, by adding two types of 0-1 variables that characterize power regulation, power up and power down, the stepped constraints of UHVDC transmission lines were expressed as linear equations of 0-1 mixed integers. Taking the improved IEEE39 node system as an example, the impact of UHVDC transmission and wheeling contracts on the grid′s renewable energy consumption was analyzed, and the effectiveness of the proposed method was verified.

Key words: renewable energy consumption, UHVDC, collection transmission, wheeling, day-ahead scheduling

CLC Number: 

  • TM7

Fig.1

Schematic diagram of subnet wheeling and regional collection transmission"

Table 1

Thermal power unit parameters"

机组 ai/(元·MW-2) bi/(元·MW-1) ci/元 ${{\bar P}^{\rm{G}}} $ / MW ${{\underline P}^{\rm{G}}} $/MW ΔPG/(MW·h-1)
#1 1.79×10-3 226 73.8 300 660 100
#2 1.59×10-3 272 76 100 220 80

Fig.2

Wind power and photovoltaic forecast curves on typical day"

Fig.3

Improved IEEE-39 system"

Fig.4

Transmission power curves in different transmission modes"

Table 2

Comparison of different transmission modes"

模式 弃风率/% 输电损耗/% 发电成本/万元
1 11.66 0.92 3 102.63
2 8.88 0.96 3 095.30
3 4.62 0.98 3 081.31

Table 3

Comparison of different wheeling energy"

转运电量/(MWh) 弃风率/% 网损率/% 单位电量发电成本/(元·(MWh)-1)
2×104 1.44 1.37 196.799 5
3×104 1.33 1.90 196.655 8
4×104 1.21 2.66 196.487 8
5×104 3.96 3.60 200.430 5

Fig.5

Thermal power generation power curve under different wheeling energy"

Fig.6

Renewable energy generation power curve under different wheeling energy"

Fig.7

Trend curves of wheeling power under different wheeling energy"

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