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

access icon openaccess Influence of solid oxide fuel cell on power system transient stability

Due to its modular, efficient and non-polluting characteristics, solid oxide fuel cell (SOFC) is promising to be widely utilised in the area of distributed generation. Previous studies mainly focused on dynamic modelling of SOFC to analyse its load following behaviour, however, the influence of SOFC on power system transient stability is not yet clear and needs further discussion. In this study, a system-level electromechanical transient mathematical model for SOFC is proposed, based on the circuit structure of SOFC, DC/DC step-up converter and DC/AC converter. Then, a double closed-loop control scheme is designed for the control of SOFC. Finally, the effect of SOFC on the power system's transient stability is discussed through simulations based on IEEE 3-machine 9-bus standard system. Results show that, under real and reactive power coordinated control strategy, cell current can be adjusted. Therefore, the output power of SOFC can be modulated to help with voltage recovery and power angle stability. The authors’ work reveals the feasibility of using SOFC to enhance power system transient stability.

References

    1. 1)
      • 8. Zhang, T., Feng, G.: ‘Rapid load following of an SOFC power system via stable fuzzy predictive tracking controller’, IEEE Trans. Fuzzy Syst., 2009, 17, (2), pp. 357371.
    2. 2)
      • 17. Ding, K., Liu, J., Wang, X., et al: ‘Research of an active and reactive power coordinated control method for photovoltaic inverters to improve power system transient stability’. 2016 China Int. Conf. on Electricity Distribution (CICED 2016), Xi'an, China, 10–13 August 2016, pp. 15.
    3. 3)
      • 7. Padullés, J., Ault, G. W., Mcdonald, J. R.: ‘An integrated SOFC plant dynamic model for power systems simulation’, J. Power Sources, 2000, 86, (1), pp. 495500.
    4. 4)
      • 15. Liu, J., Wei, Z., Fang, W., et al: ‘Modified quasi-steady state model of DC system for transient stability simulation under asymmetric faults’, Math. Probl. Eng., 2015, 103649, pp. 112.
    5. 5)
      • 1. Aguiar, P., Adjiman, C. S., Brandon, N. P.: ‘Anode-supported intermediate temperature direct internal reforming solid oxide fuel cell. I: model-based steady-state performance’, J. Power Sources, 2004, 138, (1–2), pp. 120136.
    6. 6)
      • 2. Liu, J., Fang, W., Zhang, X., et al: ‘An improved photovoltaic power forecasting model with the assistance of aerosol index data’, IEEE Trans. Sustain. Energy, 2015, 6, (2), pp. 434442.
    7. 7)
      • 18. Wang, X., Fang, W., Du, Z.: ‘Modern power system analysis’ (Science Press, Beijing, 2003).
    8. 8)
      • 6. Aguiar, P., Adjiman, C. S., Brandon, N. P.: ‘Anode-supported intermediate-temperature direct internal reforming solid oxide fuel cell. II: model-based dynamic performance and control’, J. Power Sources, 2005, 147, (1), pp. 136147.
    9. 9)
      • 11. Murshed, A. M., Huang, B., Nandakumar, K.: ‘Control relevant modeling of planer solid oxide fuel cell system’, J. Power Sources, 2007, 163, (2), pp. 830845.
    10. 10)
      • 3. Liu, J., Wang, X., Hao, X., et al: ‘Photovoltaic power forecasting based on multidimensional meteorological data and PCA-BP neural network’, Power Syst. Clean Energy, 2017, 33, (1), pp. 122129.
    11. 11)
      • 9. Zhu, Y., Tomsovic, K.: ‘Development of models for analyzing the load-following performance of microturbines and fuel cells’, Electr. Power Syst. Res., 2002, 62, (1), pp. 111.
    12. 12)
      • 10. Rajashekara, K.: ‘Hybrid fuel-cell strategies for clean power generation’, IEEE Trans. Ind. Appl., 2005, 41, (3), pp. 682689.
    13. 13)
      • 4. Liu, J., Fang, W., Yang, Y., et al: ‘Increasing wind power penetration level based on hybrid wind and photovoltaic generation’. 2013 IEEE Int. Conf. of IEEE Region 10 (TENCON 2013), Xi'an, China, October 2013, pp. 15.
    14. 14)
      • 16. Liu, J., Su, C., Wang, X., et al: ‘Abnormality in power system transient stability control of BESS/STATCOM’. IET RPG2017, Wuhan, China, 19–20 October 2017, pp. 16.
    15. 15)
      • 13. Ghanavati, G., Esmaeili, S.: ‘Dynamic simulation of a wind fuel cell hybrid power generation system’. World Non-Grid-Connected Wind Power and Energy Conf., Nanjing, China, 2009, pp. 14.
    16. 16)
      • 12. Sedghisigarchi, K., Feliachi, A.: ‘Dynamic and transient analysis of power distribution systems with fuel cells – part II: control and stability enhancement’, IEEE Trans. Energy Convers., 2004, 19, (2), pp. 429434.
    17. 17)
      • 14. Xiangwu, Y., Zhang, B., Gu, X., et al: ‘Double closed-loop control of three-phase five-level PWM current source inverter’. IECON 2007, Conf. of the IEEE Industrial Electronics Society, Taipei, Taiwan, 2007, pp. 21102114.
    18. 18)
      • 5. Kou, J., Liu, J., Li, Q., et al: ‘Photovoltaic power forecasting based on artificial neural network and meteorological data’. 2013 IEEE Int. Conf. of IEEE Region 10 (TENCON 2013), Xi'an, China, October 2013, pp. 14.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.8511
Loading

Related content

content/journals/10.1049/joe.2018.8511
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address