Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Modelling and simulation of AC–DC hybrid distribution network based on flexible DC interconnection

AC and DC hybrid distribution network detailed modelling and multi-operation conditions of the simulation analysis will effectively support the distribution network project reliable and stable operation. However, at present, large-scale system-level simulation of AC–DC hybrid distribution network based on flexible DC is the lack of timeliness and practicability. Based on the real-time digital simulation platform RT-LAB, ACDC distribution network model is established, which includes ±20 kV flexible DC interconnection system, distributed photovoltaic, wind power, energy storage system, electric vehicle and the corresponding converter control detailed modelling. In view of the limitation of the balance of energy storage system, the flexible DC interconnection is applied to active distribution network, which can provide power supply when the power gap occurs. The conditions of consumptive mode by the energy storage system, power supply through flexible DC interconnection from external power grid were simulated and analysed. The model verifies the validity of the system application in distribution network. This study provides preliminary design reference for active distribution network construction.

References

    1. 1)
      • 9. Sedghi, M., Ahmadian, A., Aliakbar-Golkar, M.: ‘Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 304316.
    2. 2)
      • 2. Libin, Y., Xin, L., Yun, T., et al: ‘A method of power flow analysis of grid-connected photovoltaic and energy storage system suitable for active distribution network’. Smart City and Systems Engineering (ICSCSE), Hunan, China, July 2016, pp. 471474.
    3. 3)
      • 3. Liu, Z.: ‘Research of DC voltage fuzzy control strategy for VSC-MTDC systems’, Electr. Power Eng. Technol., 2017, 36, (2), pp. 2126.
    4. 4)
      • 6. Ling, W., Chen, M., Wei, Z., et al: ‘A distributed optimal control method for active distribution network’. UKACC 11th Int. Conf., Belfast, UK, August 2016, pp. 16.
    5. 5)
      • 12. Li, Y., Mu, Q., An, N., et al: ‘Development and challenge of DC power grid model and simulation’, Autom. Electr. Power Syst., 2014, 38, (4), pp. 127135.
    6. 6)
      • 15. Wu, Q., Fu, Y., Zhang, K., et al: ‘Research on AC bus differential protection of flexible DC transmission system’, Power Syst. Protect. Contr., 2017, 45, (3), pp. 100104.
    7. 7)
      • 1. Chen, R., Sun, Z., Yang, Y., et al: ‘Emergency power support control strategy of VSC-HVDC and LCC-HVDC coordination’, Electr. Power Eng. Technol., 2017, 36, (6), pp. 1419.
    8. 8)
      • 4. Zhao, J.: ‘Dynamic frequency control strategy of wind/photovoltaic/diesel microgrid based on DFIG virtual inertia control and pitch Angie control’, Proc. CSEE, 2015, 35, (15), pp.3816-3822.
    9. 9)
      • 14. Yu, Y., Jin, Y., Jiang, Q., et al: ‘RT-LAB based modeling and simulation analysis of flexible DC distribution network’, Power Syst. Protect. Contr., 2015, 43, (19), pp. 125130.
    10. 10)
      • 10. Xu, Z.: ‘A review of parallel computing digital simulation of large-scale AC/DC power system’, Electr. Power Constr., 2016, 25, (1), pp. 1624.
    11. 11)
      • 8. Gao, Y., Li, R., Wu, W.: ‘Simulation analysis of the influence of harmonics on measurement error and state estimation in active distribution network’, Power Syst. Autom., 2015, 39, (9), pp. 8894.
    12. 12)
      • 7. Yang, X., Wei, Z., Liu, T., et al: ‘Three-phase decoupled power flow algorithm for active distribution networks’, Trans. China Electro Tech. Soc., 2016, 31, (2), pp. 186195.
    13. 13)
      • 13. Tan, W., Qiu, H., Zou, Y.: ‘Application of SSN algorithm in large wind power system real-time simulation’, Power Syst. Protect. Contr., 2014, 42, (5), pp. 98103.
    14. 14)
      • 5. Wang, X., Xu, T., Li, Y., et al: ‘Distributed voltage control in active distribution networks utilizing multiple agent system’, Proc. CSEE, 2016, 36, (11), pp. 29182925.
    15. 15)
      • 11. Tao, H., Yonghua, Y., Zhang, C., et al: ‘Power connection technology for full-digital real-time simulation and analogy simulator’. 2016 IEEE Int. Conf. Power System Technology (POWERCON), July 2016, pp. 17.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8632
Loading

Related content

content/journals/10.1049/joe.2018.8632
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address