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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 379250, 10 pages
http://dx.doi.org/10.1155/2015/379250
Research Article

Optimal Economic Operation of Islanded Microgrid by Using a Modified PSO Algorithm

1School of Electric Power, South China University of Technology, No. 381, Wushan Road, Tianhe District, Guangzhou 510641, China
2Guangdong Key Laboratory of Clean Energy Technology, No. 381, Wushan Road, Tianhe District, Guangzhou 510641, China

Received 29 October 2014; Revised 18 February 2015; Accepted 18 February 2015

Academic Editor: Gerhard-Wilhelm Weber

Copyright © 2015 Yiwei Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. N. Hatziargyriou, H. Asano, R. Iravani, and C. Marnay, “Microgrids: an overview of ongoing research, development, and demonstration projects,” IEEE Power and Energy Magazine, vol. 5, no. 4, pp. 78–94, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. A. N. Celik, “Optimisation and techno-economic analysis of autonomous photovoltaic–wind hybrid energy systems in comparison to single photovoltaic and wind systems,” Energy Conversion and Management, vol. 43, no. 18, pp. 2453–2468, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. A. M. Eltamaly and M. A. Mohamed, “A novel design and optimization software for autonomous PV/wind/battery hybrid power systems,” Mathematical Problems in Engineering, vol. 2014, Article ID 637174, 16 pages, 2014. View at Publisher · View at Google Scholar
  4. B. Zhao, X. Zhang, P. Li, K. Wang, M. Xue, and C. Wang, “Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island,” Applied Energy, vol. 113, pp. 1656–1666, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. J. P. S. Catalão, Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling, CRC Press, New York, NY, USA, 2012. View at Publisher · View at Google Scholar
  6. M. G. Ippolito, M. L. Di Silvestre, E. R. Sanseverino, G. Zizzo, and G. Graditi, “Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios,” Energy, vol. 64, pp. 648–662, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. Y.-H. Chen, S.-Y. Lu, Y.-R. Chang, T.-T. Lee, and M.-C. Hu, “Economic analysis and optimal energy management models for microgrid systems: a case study in Taiwan,” Applied Energy, vol. 103, pp. 145–154, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Parvizimosaed, F. Farmani, and A. Anvari-Moghaddam, “Optimal energy management of a micro-grid with renewable energy resources and demand response,” Journal of Renewable and Sustainable Energy, vol. 5, Article ID 053148, pp. 1–15, 2013. View at Publisher · View at Google Scholar
  9. A. Dukpa, I. Duggal, B. Venkatesh, and L. Chang, “Optimal participation and risk mitigation of wind generators in an electricity market,” IET Renewable Power Generation, vol. 4, no. 2, pp. 165–175, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. H. Ren, W. Zhou, K. Nakagami, W. Gao, and Q. Wu, “Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects,” Applied Energy, vol. 87, no. 12, pp. 3642–3651, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. H. Vahedi, R. Noroozian, and S. H. Hosseini, “Optimal management of MicroGrid using differential evolution approach,” in Proceedings of the 7th International Conference on the European Energy Market (EEM '10), pp. 1–6, IEEE, Madrid, Spain, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. C. D. Barley and C. B. Winn, “Optimal dispatch strategy in remote hybrid power systems,” Solar Energy, vol. 58, no. 4-6, pp. 165–179, 1996. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Ashari and C. V. Nayar, “An optimum dispatch strategy using set points for a photovoltaic (PV)-diesel-battery hybrid power system,” Solar Energy, vol. 66, no. 1, pp. 1–9, 1999. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Gupta, R. P. Saini, and M. P. Sharma, “Modelling of hybrid energy system-Part II: combined dispatch strategies and solution algorithm,” Renewable Energy, vol. 36, no. 2, pp. 466–473, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. O. Ekren and B. Y. Ekren, “Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing,” Applied Energy, vol. 87, no. 2, pp. 592–598, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Yang, W. Zhou, L. Lu, and Z. Fang, “Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm,” Solar Energy, vol. 82, no. 4, pp. 354–367, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. N. Cai and J. Mitra, “A multi-level control architecture for master-slave organized microgrids with power electronic interfaces,” Electric Power Systems Research, vol. 109, pp. 8–19, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. J. A. P. Lopes, C. L. Moreira, and A. G. Madureira, “Defining control strategies for microgrids islanded operation,” IEEE Transactions on Power Systems, vol. 21, no. 2, pp. 916–924, 2006. View at Publisher · View at Google Scholar · View at Scopus
  19. L. Guo, X. Fu, X. Li, and C. Wang, “Coordinated control of battery storage and diesel generators in isolated AC microgrid systems,” Proceedings of the Chinese Society of Electrical Engineering, vol. 32, no. 25, pp. 70–78, 2012. View at Google Scholar · View at Scopus
  20. O. Skarstein and K. Uhlen, “Design considerations with respect to long-term diesel saving in wind/diesel plants,” Wind Engineering, vol. 13, no. 2, pp. 72–87, 1989. View at Google Scholar · View at Scopus
  21. W. Morgantown, “Emission rates for new DG technologies,” The Regulatory Assistance Project [EB/OL], 2001, http://www.raponline.org/document/download/id/66.
  22. G. Cau, D. Cocco, M. Petrollese, S. Knudsen Kær, and C. Milan, “Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system,” Energy Conversion and Management, vol. 87, pp. 820–831, 2014. View at Publisher · View at Google Scholar
  23. X. Xia and A. M. Elaiw, “Optimal dynamic economic dispatch of generation: a review,” Electric Power Systems Research, vol. 80, no. 8, pp. 975–986, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. R. Dufo-López, J. L. Bernal-Agustín, and J. Contreras, “Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage,” Renewable Energy, vol. 32, no. 7, pp. 1102–1126, 2007. View at Publisher · View at Google Scholar · View at Scopus
  25. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, pp. 1942–1948, Perth, Ausitalia, December 1995. View at Scopus
  26. Y. Shi and R. Eberhart, “A modified particle swarm optimizer,” in Proceedings of the IEEE International Conference on World Congress on Computational Intelligence, pp. 69–73, IEEE, Anchorage, Alaska, USA, May 1998. View at Publisher · View at Google Scholar
  27. X. Yang, J. Yuan, J. Yuan, and H. Mao, “A modified particle swarm optimizer with dynamic adaptation,” Applied Mathematics and Computation, vol. 189, no. 2, pp. 1205–1213, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus