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Exploiting Meta-heuristic Technique for Optimal Operation of Microgrid

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 17))

Abstract

A power system with different types of micro-sources are very popular in recent years. The aim of the paper is to make the environment green by reducing green house gases and meet the load demand in an efficient way. However, we propose a grid-connected microgrid system which meets the load demand in an efficient manner to achieve our objectives. The objective of this work is to find the optimal set points of controllable micro-sources in terms of cost minimization. The grid-connected microgrid also helps to exchange power with utility during different intervals of a day to meet the load demand. The significance and performance of the proposed strategy is proved through performing simulations in MATLAB. However, the overall cost of MG is less, while in schedulable microsources the cost of FC is less as compared to MT and DE.

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References

  1. Niknam, T., Golestaneh, F., Malekpour, A.: Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm. Energy 43(1), 427–437 (2012)

    Article  Google Scholar 

  2. Tomoiaga, B., Chindris, M.D., Sumper, A., Marzband, M.: The optimization of microgrids operation through a heuristic energy management algorithm. In: Advanced Engineering Forum, vol. 8, pp. 185–194. Trans Tech Publications (2013)

    Google Scholar 

  3. Zachar, M., Daoutidis, P.: Microgrid/Macrogrid energy exchange: a novel market structure and stochastic scheduling. IEEE Trans. Smart Grid 8(1), 178–189 (2017)

    Article  Google Scholar 

  4. Mohan, V., Singh, J.G., Ongsakul, W., Reshma Suresh, M.P.: Performance enhancement of online energy scheduling in a radial utility distribution microgrid. Int. J. Electr. Power Energy Syst. 79, 98–107 (2016)

    Article  Google Scholar 

  5. Zhang, J., Yihong, W., Guo, Y., Wang, B., Wang, H., Liu, H.: A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints. Appl. Energy 183, 791–804 (2016)

    Article  Google Scholar 

  6. Ahmad, A., Khan, A., Javaid, N., Hussain, H.M., Abdul, W., Almogren, A., Alamri, A., Niaz, I.A.: An optimized home energy management system with integrated renewable energy and storage resources. Energies 10(4), 549 (2017)

    Article  Google Scholar 

  7. Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy Build. 129, 452–470 (2016)

    Article  Google Scholar 

  8. Javaid, N., Hussain, S.M., Ullah, I., Noor, M.A., Abdul, W., Almogren, A., Alamri, A.: Demand side management in nearly zero energy buildings using heuristic optimizations. Energies 10(8), 1131 (2017)

    Article  Google Scholar 

  9. Motevasel, M., Seifi, A.R.: Expert energy management of a micro-grid considering wind energy uncertainty. Energy Convers. Manag. 83, 58–72 (2014)

    Article  Google Scholar 

  10. Naderipour, A., Mohn Zin, A.A., Habibuddin, M.H., Moradi, M., Miveh, M., Afrouzi, H.N.: A new compensation control strategy for grid-connected wind turbine and fuel cell inverters in a microgrid. Int. J. Power Electron. Drive Syst. (IJPEDS) 8(1), 272–278 (2017)

    Article  Google Scholar 

  11. Trivedi, I.N., Thesiya, D.K., Esmat, A., Jangir, P.: A multiple environment dispatch problem solution using ant colony optimization for micro-grids. In: 2015 International Conference on Power and Advanced Control Engineering (ICPACE), pp. 109–115. IEEE (2015)

    Google Scholar 

  12. Liu, H., Ji, Y., Zhuang, H., Hongbin, W.: Multi-objective dynamic economic dispatch of microgrid systems including vehicle-to-grid. Energies 8(5), 4476–4495 (2015)

    Article  Google Scholar 

  13. Roy, K., Mandal, K.K., Mandal, A.C.: Modeling and managing of micro grid connected system using improved artificial bee colony algorithm. Int. J. Electr. Power Energy Syst. 75, 50–58 (2016)

    Article  Google Scholar 

  14. Garcia, R.S., Weisser, D.: A wind-diesel system with hydrogen storage: joint optimisation of design and dispatch. Renew. Energy 31(14), 2296–2320 (2006)

    Article  Google Scholar 

  15. Maleki, A., Pourfayaz, F.: Optimal sizing of autonomous hybrid photovoltaic/wind/battery power system with LPSP technology by using evolutionary algorithms. Sol. Energy 115, 471–483 (2015)

    Article  Google Scholar 

  16. Shi, W., Xie, X., Chu, C.-C., Gadh, R.: Distributed optimal energy management in microgrids. IEEE Trans. Smart Grid 6(3), 1137–1146 (2015)

    Article  Google Scholar 

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Correspondence to Nadeem Javaid .

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Zahoor, S., Javaid, N., Zafar, A., Yasmeen, A., Asad-ur-rehman, Khan, Z.A. (2018). Exploiting Meta-heuristic Technique for Optimal Operation of Microgrid. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75927-2

  • Online ISBN: 978-3-319-75928-9

  • eBook Packages: EngineeringEngineering (R0)

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