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Modeling and Simulation for Battery Energy Storage System Participating in Power System Frequency Modulation Based on Power System Analysis Software Package

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Advances in Intelligent Information Hiding and Multimedia Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 211))

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Abstract

Battery energy storage technology, with its fast and accurate power response, has become the focus of the auxiliary means of power system frequency modulation. However, the traditional simulation software lacks an accurate battery energy storage system component model, which affects the accuracy of analyzing the response characteristics of the energy storage system to a certain extent. This paper presents an electromechanical transient model of battery energy storage system without time delay, which considers the participation of energy storage system in frequency modulation dead zone and battery charging and discharging power. The control model is built based on the node current injection method by using the power system analysis integrated program, and the EPRI-7 standard system is selected for simulation analysis. The simulation results show that the model has good implant ability. And when the load is cut off in the power system, the energy storage system participating in frequency modulation can effectively maintain the frequency stability.

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References

  1. Tian, S., Cheng, H., Zeng, P., et al.: Analysis on wind power curtailment at frequency adjustment level. J. Trans. China Electro Tech. Soc. 30, 18 (2015)

    Google Scholar 

  2. Hu, Z., Xie, X., Zhang, F., et al.: Research on automatic generation control strategy incorporating energy storage resources. J. Proc. CSEE 34, 5080 (2014)

    Google Scholar 

  3. Sun, B., Yang, S., Liu, Z., et al.: Analysis on present application of megawatt-scale energy storage in frequency regulation and its enlightenment. J Autom. Electr. Power Syst. 41, 8 (2017)

    Google Scholar 

  4. Ye, X., Liu, T., Wu, G., et al.: Multi-time scale simulation modeling and characteristic analysis of large-scale grid-connected battery energy storage system. J. Proc. CSEE 35, 2635 (2015)

    Google Scholar 

  5. Zhang, L., et al.: Modeling and analysis of battery energy storage systems in multitime scales application. J. Proc. CSEE 33, 86 (2013)

    Google Scholar 

  6. Wu, J., Wen, J., Sun, H.: Study of control method for improving AC interconnected grid stability based on energy storage technology. J. Trans. China Electro Tech. Soc. 27, 261 (2012)

    Google Scholar 

  7. Li, Y., Wu, Z.: A method to interface matlab model with power flow module of PSASP software. J. Power Syst. Technol. 32, 20 (2008)

    Google Scholar 

  8. Li, Y., Wu, Z.: An approach to interface matlab model with PSASP transient stability module. J. Power Syst. Technol. 32, 31 (2008)

    Google Scholar 

  9. Liu, Q., Li, X., Sun, Y.: Power flow modeling of facts based on PSASP. J. Power Syst. Technol. 24(6) (2000)

    Google Scholar 

  10. Meng, Z., Pan, J.-S.: Monkey king evolution: a new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization. Knowl. Based Syst. 97, 144–157 (2016)

    Article  MathSciNet  Google Scholar 

  11. Zhang, Y., Mao, X., Xu, Z.: UPFC models for power system steady-state and dynamic analysis. J. Power Syst. Technol. 24, 30 (2002)

    Google Scholar 

  12. Chang, K.-C., Chu, K.-C., Wang, H.-C., Lin, Y.-C., Pan, J.-S.: Agent-based middleware framework using distributed CPS for improving resource utilization in smart city. Future Gener. Comput. Syst. 108, 445–453 (2020). https://doi.org/10.1016/j.future.2020.03.006

    Article  Google Scholar 

  13. Chang, K.C., Chu, K.C., Wang, H.C., Lin, Y.C., Pan, J.S.: Energy saving technology of 5G base station based on internet of things collaborative control. IEEE Access 8, 32935–32946 (2020)

    Article  Google Scholar 

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Correspondence to Pengcheng Cao .

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Cao, P., Li, P., Sun, P., Zhang, Z., Chang, KC. (2021). Modeling and Simulation for Battery Energy Storage System Participating in Power System Frequency Modulation Based on Power System Analysis Software Package. In: Pan, JS., Li, J., Namsrai, OE., Meng, Z., Savić, M. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 211. Springer, Singapore. https://doi.org/10.1007/978-981-33-6420-2_1

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