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A Dynamic Power Flow Model Considering the Uncertainty of Primary Frequency Regulation of System

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Advances in Artificial Systems for Medicine and Education II (AIMEE2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 902))

Abstract

In view of the problem that uncertainty of primary frequency regulation (PFR) has not been considered in the existing research on the dynamic power flow, which may cause fault, this paper presents a stochastic dynamic power flow model that takes into account the uncertainty of the primary frequency regulation coefficient and the total adjustment amount of the AGC system, the switching process of allocation and control mode. By analyzing the uncertainties of primary frequency regulation coefficient and the regulation of AGC and AVC, as well as considering the active coordination equation of AGC unit with load frequency advanced control strategy, this model solves the problems of existing dynamic power flow model. The impact of the uncertain variables is addressed by the method of Monte Carlo simulation. Applying the proposed model to the IEEE 39-bus system to simulate the power flow distribution of cutting unit, load disturbance, and so on, the results prove that the model is practical and precise.

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References

  1. Ji-lai, Y., Jiang, W., Zhuo, L.: Improvement on usual load flow algorithms of power system. Proc. Chin. Soc. Electr. Eng. 21(9): 88–93 (2001)

    Google Scholar 

  2. Ramanathan, R., Ramchandani, H., Sackett, S.A.: Dynamic load flow technique for power system simulators. IEEE Trans. Power Syst. 1(3), 25–30 (1986)

    Article  Google Scholar 

  3. Bing, L.: The research of dynamic load flow model for power system dispatcher training simulator. Proc. EPSA 9(03):33–39 (1997, in Chinese)

    Google Scholar 

  4. LANG, B.: Research on dynamic load flow model for power system dispatcher training simulator. J. North. Jiaotong Univ. 26(04), 112–118 (2002). (in Chinese)

    Google Scholar 

  5. Sun, Y., Hang, N.: A power flow model considering the static control characteristic of units in power systems. Proc. CSEE 30(10): 43–49 (2010, in Chinese)

    Google Scholar 

  6. Zhu, X., Liu, W., Zhang, J., et al.: Probabilistic load flow method considering function of frequency modulation. Proc. CSEE 34(1): 168–178 (2014, in Chinese)

    Google Scholar 

  7. Qu, F.: Stochastic Load Flow Calculation for Power system Base on Point Estimate Method. Northeast Electric University (2011, in Chinese)

    Google Scholar 

  8. Sun, H., Li, Q., Zhang, M., et al.: Continuation power flow method based on dynamic power flow equation. Proc. CSEE 31(7): 77–82 (2011, in Chinese)

    Google Scholar 

  9. Shan, Y., Jiang, Y., Cai, S.: Primary frequency regulation performance analysis for generating units of different types. East China Electr. Power 3(06), 1242–1245 (2014). (in Chinese)

    Google Scholar 

  10. Zhang, J., Li, H., Xie, H.: Stability of frequency regulating system for hydropower units in grid-connected operation. Power Syst. Technol. 8(9), 57–62 (2009). (in Chinese)

    Google Scholar 

  11. Gao, L., Dai, Y., Wang, J.: An online estimation method of primary frequency regulation parameters of generation units. Proc. CSEE 15(16), 62–69 (2012, in Chinese)

    Google Scholar 

  12. Chen, L., Chen, H.: Analysis on primary frequency regulation of generator units in Guangdong power system. Guangdong Electr. Power 11(08), 8–12 (2008). (in Chinese)

    Google Scholar 

  13. Ma, B., Zhou, W., Wang, T.: An experimental investigations on applicable criterion for AC corona discharge evolvement of rod-plane gap based on UV digital image processing. Autom. Electr. Power Syst. 32(24), 52–55 (2008, in Chinese)

    Google Scholar 

  14. Dai, Y., Zhao, T., Gao, L.: Research on characteristics of power system primary frequency control operating on power plants. Electr. Power 39(11), 37–41 (2006, in Chinese)

    Google Scholar 

  15. Du, L., Liu, J., Lei, X.: The primary frequency regulation dynamic model based on power network. In: IEEE, International Conference on Power System Technology, pp. 1–8 (2006)

    Google Scholar 

  16. Yang, G.: Evaluation of primary frequency modulation performance of generator units. Electric Power. 1(03), 32–35 (2013). (in Chinese)

    Google Scholar 

  17. Yu, L.I.U.: Review on algorithms for probabilist load flow in power system. Autom. Power Syst. 12(7), 127–135 (2014). (in Chinese)

    Google Scholar 

  18. Singh, R.K., Choudhury, N.B.D., Goswami, S.K.: Optimal allocation of distributed generation in distribution network with voltage and frequency dependent loads. In: Industrial and Information Systems, 2008. IEEE Region 10 and the Third international Conference on Kharagpur (2008)

    Google Scholar 

  19. Zhao, X.: Dynamic Modeling and Probabilistic Rotor Angle Stability Assessment of Asynchronized Generator in a Multimachine System. College of Electrical Engineering of Chongqing University (2009, in Chinese)

    Google Scholar 

  20. Khani Maghanaki, P., Tahani, A.: Designing of fuzzy controller to stabilize voltage and frequency amplitude in a wind turbine equipped with induction generator. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 7(7), 17–27 (2015). https://doi.org/10.5815/ijmecs.2015.07.03

  21. Ramji, T., Ramesh Babu, N.: Comparative analysis of pitch angle controller strategies for PMSG based wind energy conversion system. Int. J. Intell. Syst. Appl. (IJISA) 9(5), 62–73 (2017). https://doi.org/10.5815/ijisa.2017.05.08

  22. Abebe, Y.M., Mallikarjuna Rao, P., Gopichand Nak, M.: Load flow analysis of a power system network in the presence of uncertainty using complex affine arithmetic. Int. J. Eng. Manuf. (IJEM) 7(5), 48–64 (2017). https://doi.org/10.5815/ijem.2017.05.05

  23. Mihaela, O.: Numerical simulation methods of electromagnetic field in higher education: didactic application with graphical interface for FDTD method. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 10(8), 1–10 (2018). https://doi.org/10.5815/ijmecs.2018.08.01

  24. Al-Mashaqbeh, I.: Computer simulation instruction: carrying out chemical experiments. Int. J. Mod. Educ. Comput. Sci. (IJMECS) 6(5), 1–7 (2014). https://doi.org/10.5815/ijmecs.2014.05.01

  25. Wang, J., Dou, W., Shi, K.: A scalable simulation method for network attack. Int. J. Wireless Microw. Technol. (IJWMT) 1(3), 21–28 (2011). https://doi.org/10.5815/ijwmt.2011.03.04

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Authors and Affiliations

  1. State Grid Hunan Electric Power Corporation Research Institute, Changsha, 410007, China

    Daojun Chen, Chenkun Li, Hu Guo & Ting Cui

  2. State Grid Hunan Electric Power Corporation, Changsha, 410014, China

    Nianguang Zhou

Authors
  1. Daojun Chen
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  2. Nianguang Zhou
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  3. Chenkun Li
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  4. Hu Guo
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  5. Ting Cui
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Corresponding author

Correspondence to Daojun Chen .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey V. Petoukhov

  3. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Davie, FL, USA

    Matthew He

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Chen, D., Zhou, N., Li, C., Guo, H., Cui, T. (2020). A Dynamic Power Flow Model Considering the Uncertainty of Primary Frequency Regulation of System. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_39

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