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

access icon free Optimal power scheduling of renewable energy systems in microgrids using distributed energy storage system

The rapid depletion of fossil fuel resources and increase in demand of electricity has renewed interest in micro-grids (MGs). Incorporating renewable energy sources (RESs) and storage devices into MG could play a vital role in enhancing the reliability of the system. However, due to the intermittent nature of RESs, voltage fluctuations may occur in the system. Therefore, storage devices can be the most viable option to handle the intermittent issues of RESs. Nowadays, handling a group of batteries with different ratings in the MG has been a major focus of research. The batteries with different ratings used for storage as well as grid support is termed as a distributed energy storage system. This work mainly emphasises on optimal power management of an MG by controlling the charging and discharging rates of individual battery. A droop-based controller is proposed for optimal power management of batteries. An aggregator has been suggested at the MG which distributes the power among the various charging stations (CSs) and each CS finally distributes the power among the individual batteries based on droop participation factor. Moreover, the charging and discharging rates of batteries are controlled to achieve the desired power flow between the MG and CSs. The simulation results show the efficacy of the controller to meet the desired power at the MG. The proposed system is compared with an existing system to prove the efficacy of the proposed controller. Moreover, all the critical cases have been considered, such as the sudden failure of any generating unit. It has been observed that due to sudden failure of any generating unit, CSs manages power of the MG by altering charging and discharging rate of the batteries.

References

    1. 1)
      • 8. Tani, A., Camara, M.B., Dakyo, B.: ‘Energy management in the decentralized generation systems based on renewable energy ultra-capacitors and battery to compensate the wind/load power fluctuations’, IEEE Trans. Ind. Appl., 2015, 51, pp. 18171827.
    2. 2)
      • 29. Laaksonen, H., Saari, P., Komulainen, R.: ‘Voltage and frequency control of inverter based weak LV network microgrid’. Proc. Int. Conf. Future Power System, Amsterdam, 2005, pp. 16.
    3. 3)
      • 7. Zhou, H., Bhattacharya, T., Tran, D., et al: ‘Composite energy storage system involving battery and ultracapacitor with dynamic energy management in microgrid applications’, IEEE Trans. Power Electron., 2011, 26, pp. 923930.
    4. 4)
      • 27. HOMER (Hybrid Optimization Model for Electric Renewable), NREL, available at http://www.nrel.gov/international/tools/HOMER, last accessed May 2016.
    5. 5)
      • 33. Alegria, E., Brown, T., Minear, E., et al: ‘CERTS microgrid demonstration with large-scale energy storage and renewable generation’, IEEE Trans. Smart Grid, 2014, 5, (2), pp. 937943.
    6. 6)
      • 24. Bevrani, H., Shokoohi, S.: ‘An intelligent droop control for simultaneous voltage and frequency regulation in islanded microgrids’, IEEE Trans. Smart Grid, 2013, 4, pp. 15051513.
    7. 7)
      • 15. Liu, N., Chen, Q., Liu, J., et al: ‘A heuristic operation strategy for commercial building microgrids containing EVs and PV system’, IEEE Trans. Indus. Electron., 2015, 62, pp. 25602570.
    8. 8)
      • 17. Kempton, W., Tomi, J.: ‘Vehicle-to-grid power implementation: from stabilizing the grid to supporting large-scale renewable energy’, J. Power Sources, 2005, 144, pp. 280294.
    9. 9)
      • 20. Matos, J.G.De., Ribeiro, L.A.D.S., Gomes, E.C.: ‘Power control in AC autonomous and isolated microgrids with renewable energy sources and energy storage systems’. Proc. IEEE 39th Annual Conf. Industrial Electronics Society, Vienna, Austria, 2013, pp. 18271832.
    10. 10)
      • 2. Tsikalakis, A.G., Hatziargyriou, N.D.: ‘Centralized control for optimizing microgrids operation’, IEEE Trans. Energy Convers., 2008, 23, pp. 241248.
    11. 11)
      • 30. Ghosh, A., Dewadasa, M.: ‘Intelligent grid operation control and energy management of distributed generation’. Report, available at http://www.igrid.net.au/resources/downloads/project/FinalReport.pdf.
    12. 12)
      • 31. Engler, A., Soultanis, N.: ‘Droop control in LV-grids’. Proc. Int. Conf. Future Power Systems, Amsterdam, 2005.
    13. 13)
      • 19. Singh, M., Kumar, P., Kar, I.: ‘A multi charging station for electric vehicles and its utilization for load management and the grid support’, IEEE Trans. Smart Grid, 2013, 4, pp. 10261037.
    14. 14)
      • 13. Kam, M., Sark, W.: ‘Smart charging of electric vehicles with photo-voltaic power and vehicle-to-grid technology in a microgrid; a case study’, Appl. Energy, 2015, 152, pp. 200230.
    15. 15)
      • 18. Das, R., Thirugnanam, K., Kumar, P., et al: ‘Mathematical modeling for economic evaluation of electric vehicle to smart grid interaction’, IEEE Trans. Smart Grid, 2014, 5, pp. 712721.
    16. 16)
      • 16. Zhang, M., Chen, J.: ‘The energy management and optimized operation of electric vehicles based on microgrid’, IEEE Trans. Power Deliv., 2014, 29, pp. 14271435.
    17. 17)
      • 21. Li, G., Xi, F., Li, X., et al: ‘Coordinated control of battery storage system and diesel generators in ac island microgrid’. 7th Proc. IEEE Int. Power Electronics and Motion Control Conf., China, 2012, pp. 112117.
    18. 18)
      • 5. Olivares, D.E., Cañizares, C.A., Kazerani, M.: ‘A centralized energy management system for isolated microgrids’, IEEE Trans. Smart Grid, 2014, 5, pp. 18641875.
    19. 19)
      • 10. Pahasa, J., Ngamroo, I.: ‘PHEVs bidirectional charging/discharging and SoC control for microgrid frequency stabilization using multiple MPC’, IEEE Trans. Smart Grid, 2015, 6, (2), pp. 526533.
    20. 20)
      • 25. Lu, X., Guerrero, J., Sun, K., et al: ‘An improved droop control method for dc microgrids based on low bandwidth communication with dc bus voltage restoration and enhanced current sharing accuracy’, IEEE Trans. Power Electr., 2014, 29, pp. 18001812.
    21. 21)
      • 23. Kakigano, H., Miura, Y., Ise, T.: ‘Distribution voltage control for DC microgrids using fuzzy control and gain-scheduling technique’, IEEE Trans. Power Electron., 2013, 28, pp. 22462258.
    22. 22)
      • 9. Tan, X., Li, Q., Wang, H.: ‘Advances and trends of energy storage technology in micro-grid’, Int. J. Elect. Power Energy Syst., 2013, 44, pp. 179191.
    23. 23)
      • 22. Wu, T., Yang, Q., Bao, Z., et al: ‘Coordinated energy dispatching in microgrid with wind power generation and plug-in electric vehicles’, IEEE Trans. Smart Grid, 2013, 4, pp. 14531463.
    24. 24)
      • 6. Hosseinzadeh, M., Salmasi, F.R.: ‘Power management of an isolated hybrid AC/DC micro-grid with fuzzy control of battery banks’, IET Renew. Power Gener., 2015, 9, (6), pp. 484493.
    25. 25)
      • 26. Lu, X., Sun, K., Guerrero, J., et al: ‘Double-Quadrant state-of-charge-based droop control method for distributed energy storage systems in autonomous DC micro-grids’, IEEE Trans. Smart Grid, 2015, 6, pp. 147157.
    26. 26)
      • 1. Kroposki, B., Basso, T., Deblasio, R.: ‘Microgrid standards and technologies’. Proc. Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, USA, 2008, pp. 14.
    27. 27)
      • 4. Xu, L., Chen, D.: ‘Control and operation of a DC microgrid with variable generation and energy storage’, IEEE Trans. Ind. Appl., 2011, 26, pp. 25132522.
    28. 28)
      • 11. Chen, C., Duan, S.: ‘Optimal integration of plug-in hybrid electric vehicles in micro-grids’, IEEE Trans. Ind. Electr., 2014, 10, pp. 19171926.
    29. 29)
      • 12. Su, W., Wang, J., Roh, J.: ‘Stochastic energy scheduling in micro-grids with intermittent renewable energy resources’, IEEE Trans. Smart Grid, 2014, 5, pp. 18761883.
    30. 30)
      • 3. Ribeiro, L.A.D.S., Saavedra, O.R., Lima, S.L.De., et al: ‘Isolated micro-grids with renewable hybrid generation: the case of Lençóis Island’, IEEE Trans. Sustain. Energy, 2011, 2, pp. 111.
    31. 31)
      • 32. NASA Surface Meteorology and Solar Energy. http://www.eosweb.larc.nasa.gov/sse/RETScreen, last accessed May 2016.
    32. 32)
      • 14. Roy, J.V., Leemput, N., Geth, F., et al: ‘Electric vehicle charging in an office building microgrid with distributed energy resources’, IEEE Trans. Sustain. Energy, 2014, 5, pp. 13891396.
    33. 33)
      • 28. Xu, L., Ruan, X., Mao, C., et al: ‘An improved optimal sizing method for wind-solar-battery hybrid power system’, IEEE Trans. Sustain. Energy, 2013, 4, (3), pp. 774785.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2015.0552
Loading

Related content

content/journals/10.1049/iet-rpg.2015.0552
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address