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A New Overvoltage Control Method Based on Active and Reactive Power Coupling

  • Guangbin Li
  • Yanhong Luo
  • Dongsheng Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11307)

Abstract

With the development of photovoltaic policy, a large number of PVs will be connected to rural networks, which cause the higher photovoltaic permeability in rural networks in the future. However, the PV of high-permeability will cause very serious reverse power flow in the rural networks, which will lead to the problems of overvoltage and the increasement of network loss, and which also seriously affect the safety of users. The relationship between the active power and reactive power of the inverter is analyzed. The quantization’s relationship between the voltage and the active power or the reactive power in the rural networks is analyzed according to the capacity characteristics of the inverter. In order to minimize the reduction of photovoltaic active power, an active and reactive power coupling control strategy is proposed. A multi-objective particle swarm optimization algorithm is adopted considering the characteristics of economy and the topology of rural networks. The results of simulation show that the proposed control strategy and the optimal control algorithm can not only guarantee the efficient usage of inverter’s active and reactive power, but also realize the optimization of network loss.

Keywords

Rural power grid Active and reactive power coupling Overvoltage Multi-objective particle swarm optimization algorithm 

References

  1. 1.
    Worthmann, K., Braun, P., et al.: Distributed and decentralized control of residential energy systems incorporating battery storage. IEEE Trans. Smart Grid 6(4), 1914–1923 (2015)CrossRefGoogle Scholar
  2. 2.
    Fan, Y., Zhao, B., Jiang, Q., Cao, Y.: Peak capacity calculation of distributed photovoltaic source with constraint of over-voltage. Autom. Electr. Power Syst. 36(17), 40–44 (2012)Google Scholar
  3. 3.
    Sun, Y., Zhang, L., Liu, D.: Research on the consumption capability of distributed photovoltaic access in rural areas. Zhejiang Electr. Power 36(11), 45–50 (2017)Google Scholar
  4. 4.
    Wang, Y.: Influence of grid-connected photovoltaic generation system on feeder voltage of rural power grid and its protection. Technol. Wind (24), 169 (2017)Google Scholar
  5. 5.
    Yang, C.: Study on influence of grid-connected photovoltaic distributed generation system on rural network feeder voltage and self-protection. Sci. Technol. Inf. 12(10), 102 (2014)Google Scholar
  6. 6.
    Xu, X., Huang, Y., Liu, C., Wang, W.: Influence of distributed photovoltaic generation on voltage in distribution network and solution of voltage beyond limits. Power Syst. Technol. 34(10), 140–146 (2010)Google Scholar
  7. 7.
    Chen, X., Zhang, Y., Huang, X.: Review of reactive power and voltage control method in the background of active distribution network. Autom. Electr. Power Syst. 40(1), 143–151 (2016)Google Scholar
  8. 8.
    Long, C., Procopiou, A.T., et al.: Performance of OLTC-based control strategies for LV networks with photovoltaics. In: 2015 IEEE Power & Energy Society General Meeting, pp. 1–5. IEEE Press, Denver (2015)Google Scholar
  9. 9.
    Choi, J.H., Kim, J.C.: Advanced voltage regulation method of power distribution systems interconnected with dispersed storage and generation systems. IEEE Trans. Power Delivery 16(2), 329–334 (2001)CrossRefGoogle Scholar
  10. 10.
    Zhao, B., Wei, L., Xu, Z., et al.: Photovoltaic accommodation capacity determination of actual feeder based on stochastic scenarios analysis with storage system considered. Autom. Electr. Power Syst. 39(9), 34–40 (2015)Google Scholar
  11. 11.
    Reinaldo, T., Luiz, A., Lopes, C., Tarek, H.M.: Coordinated active power curtailment of grid connected PV inverters for overvoltage prevention. IEEE Trans. Sustain. Energ. 2(2), 139–147 (2011)CrossRefGoogle Scholar
  12. 12.
    Tonkoski, R., Lopes, L.A.C.: Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders. Renewable Energy 36(12), 3566–3574 (2011)CrossRefGoogle Scholar
  13. 13.
    Wai, K.Y., Havas, L., Overend, E., et al.: Neural network-based active power curtailment for overvoltage prevention in low voltage feeders. Expert Syst. Appl. 41(4), 1063–1070 (2014)CrossRefGoogle Scholar
  14. 14.
    Xiu, W., Xia, L., Hai, L.: Application of artificial neural network in reactive voltage optimization of power system. J. Shenyang Agric. Univ. 39(06), 713–717 (2008)Google Scholar
  15. 15.
    Demirok, E., Gonzalez, P.C., Frederiksen, K.H.B., et al.: Local reactive power control methods for overvoltage prevention of distributed solar inverters in low-voltage grids. IEEE J. Photovoltaics 1(2), 174–182 (2011)CrossRefGoogle Scholar
  16. 16.
    Xiong, C., Li, C., Yang, L., et al.: Study of reactive power compensation based on neural network. In: Proceedings of the 35th Chinese Control Conference, pp. 323–326. IEEE Press, Chengdu (2016)Google Scholar
  17. 17.
    Kabiri, R., Holmes, D.G., McGrath, B.P., et al.: LV grid voltage regulation using transformer electronic tap changing with PV inverter reactive power injection. IEEE J. Emerg. Sel. Top. Power Electron. 3(4), 1182–1192 (2015)CrossRefGoogle Scholar
  18. 18.
    Alam, M.J.E., Muttaqi, K.M., Sutanto, D.: A multi-mode control strategy for VAr support by solar PV inverters in distribution networks. IEEE Trans. Power Syst. 30(3), 1316–1326 (2015)CrossRefGoogle Scholar
  19. 19.
    Weckx, S., Driesen, J.: Optimal local reactive power control by PV inverters. IEEE Trans. Sustain. Energy 7(4), 1624–1633 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Northeastern UniversityShenyangChina

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