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The comprehensive evaluation model of power supply capacity for regional-oriented distribution network

  • Xiaoming ZhouEmail author
  • Xiaolan Li
  • Fujia Liu
  • Weichun Ge
  • Xianzhi Ma
  • Ye Tian
  • Guangao Li
  • Jiaxin Zhang
  • Yue Qiu
Original Article
  • 8 Downloads

Abstract

With the rapid increase in power loads, power supply capacity plays a significant role in power distribution network. However, attributing to the tremendous differences in regional economic development and diversified characteristics of power distribution network, power supply capacity should be evaluated based on regional differences to better promote the efficiency of distribution network. In this paper, the evaluated indexes including supply capacity reserve, supply capacity margin and supply capacity balance are defined, and the evaluated models for single and inter-layer equipment are established. Furthermore, a case study with ten different regions is employed to validate the proposed models. Results illustrate that considering the effects of “N-x” criterion, network structures and overload features, the proposed comprehensive models could quantitatively evaluate the supply capacity and offer better supports for planning and operation of large-scale power distribution network.

Keywords

Evaluation model Power supply capacity “N-x” criterion Evaluated indexes 

Notes

Acknowledgments

This research is partially supported by State Grid Science and Technology Project 5222SY17004A, and Improving Technological Innovation Ability and Mass Innovation Research Projects 2018ZX-17.

References

  1. 1.
    Ruiz-Romero S, Colmenar-Santos A, Mur-Pérez F, López-Rey Á (2014) Integration of distributed generation in the power distribution network: the need for smart grid control systems, communication and equipment for a smart city—use cases. Renew Sustain Energy Rev 38:223–234CrossRefGoogle Scholar
  2. 2.
    Miu KN, Chiang HD (2000) Electric distribution system load capability: problem formulation, solution algorithm, and numerical results. IEEE Trans Power Deliv 15(1):436–442CrossRefGoogle Scholar
  3. 3.
    Shen X, Shahidehpour M, Han Y, Zhu S, Zheng J (2017) Expansion planning of active distribution networks with centralized and distributed energy storage systems. IEEE Trans Sustain Energy 8(1):126–134CrossRefGoogle Scholar
  4. 4.
    Jin X, Mu Y, Jia H et al (2014) An active reconfiguration strategy for distribution network based on maximum power supply capability. Trans China Electrotech Soc 29:137–147Google Scholar
  5. 5.
    Zhou Z, Ishida M, Maeda T (2012) Capacity planning and practicality evaluation of grid-independent power system based on supply reliability. Electr Eng Jpn 181(2):1–9CrossRefGoogle Scholar
  6. 6.
    Gao Y, Liu J, Yang J, Liang H, Zhang J (2014) Multi-objective planning of multi-type distributed generation considering timing characteristics and environmental benefits. Energies 7(10):6242–6257CrossRefGoogle Scholar
  7. 7.
    Jin P, Li Y, Li G, Chen Z, Zhai X (2017) Optimized hierarchical power oscillations control for distributed generation under unbalanced conditions. Appl Energy 194:343–352CrossRefGoogle Scholar
  8. 8.
    Liao H, Liu D, Huang Y, Zhang Y (2014) Load transfer capability analysis considering interconnection of distributed generation and energy storage system. Int Trans Electr Energy 24(2):166–177CrossRefGoogle Scholar
  9. 9.
    Chang J, Li Y, Yuan M, Wang Y (2017) Efficiency evaluation of hydropower station operation: a case study of Longyangxia station in the Yellow River, China. Energy 135:23–31CrossRefGoogle Scholar
  10. 10.
    Georgilakis PS, Hatziargyriou ND (2013) Optimal distributed generation placement in power distribution networks: models, methods, and future research. IEEE Trans Power Syst 28(3):3420–3428CrossRefGoogle Scholar
  11. 11.
    Gao Y, Yang W, Zhu J, Ren J, Li P (2017) Evaluating the effect of distributed generation on power supply capacity in active distribution system based on sensitivity analysis. Energies 10(10):1473CrossRefGoogle Scholar
  12. 12.
    Zhuo Y, Xu J, Wei F et al (2016) Design of power supply network based on 500/110 kv for load center and comprehensive accessibility evaluation. CSEE J Power Energy Syst 2(1):30–39CrossRefGoogle Scholar
  13. 13.
    Fengzhang L, Chengshan W, Jun X et al (2009) An evaluation method for power supply capability of urban electric power distribution system based on “N-1” simulation analysis of transformers. In: 1st international conference on sustainable power generation and supply (SUPERGEN), p 7Google Scholar
  14. 14.
    Liu J, Gao Y, Wu Y, Li J, Sun J (2014) Real-time evaluation for power supply capacity of distribution network with distributed generation. In: 2014 international conference on power system technology (POWERCON), pp 1485–1490Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Xiaoming Zhou
    • 1
    Email author
  • Xiaolan Li
    • 2
  • Fujia Liu
    • 3
  • Weichun Ge
    • 4
  • Xianzhi Ma
    • 1
  • Ye Tian
    • 5
  • Guangao Li
    • 1
  • Jiaxin Zhang
    • 1
  • Yue Qiu
    • 6
  1. 1.Operation Monitoring Center of State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  2. 2.Operation Monitoring Center of State Grid Shenyang Electric Power Supply CompanyShenyangChina
  3. 3.State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  4. 4.Technology and Information Department of State Grid Liaoning Electric Power Supply Co. LtdShenyangChina
  5. 5.Electric Power Research Institute of State Grid Liaoning Electric Power Co., LtdShenyangChina
  6. 6.Max Planck Institute for Dynamics of Complex Technical SystemsMagdeburgGermany

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