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Optimal load distribution model of microgrid in the smart grid environment

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Listed:
  • Zhou, Kaile
  • Yang, Shanlin
  • Chen, Zhiqiang
  • Ding, Shuai

Abstract

In the smart grid environment, the flexible and diverse distributed generation (DG) and microgrid (MG) are attracting considerable attention. There are many key management and optimization issues involved in smart grid. As an important part of smart grid optimizations, the optimal load distribution of MG contributes to the efficient operation of MG in the smart grid environment. However, traditional optimal load distribution models of large-scale power generation systems are not fully applicable to MG for their distinct characteristics. In this paper, we first introduce the MG in smart grid and analyze its characteristics. Then, we present a review of the optimal load distribution models of MG in the smart grid environment, and point out the deficiencies of the existing models. Finally, a comprehensive optimal load distribution model of MG both in objective functions and constraints is established and discussed.

Suggested Citation

  • Zhou, Kaile & Yang, Shanlin & Chen, Zhiqiang & Ding, Shuai, 2014. "Optimal load distribution model of microgrid in the smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 304-310.
    • Handle: RePEc:eee:rensus:v:35:y:2014:i:c:p:304-310
    DOI: 10.1016/j.rser.2014.04.028
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    1. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Distributed multi-generation: A comprehensive view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 535-551, April.
    2. Fadaeenejad, M. & Saberian, A.M. & Fadaee, Mohd. & Radzi, M.A.M. & Hizam, H. & AbKadir, M.Z.A., 2014. "The present and future of smart power grid in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 828-834.
    3. Wu, Yun-na & Chen, Jian & Liu, Li-rong, 2011. "Construction of China's smart grid information system analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4236-4241.
    4. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    5. Thornton, Alexander & Monroy, Carlos Rodríguez, 2011. "Distributed power generation in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4809-4817.
    6. Makkonen, Simo & Lahdelma, Risto, 2006. "Non-convex power plant modelling in energy optimisation," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1113-1126, June.
    7. Labis, Paulino E. & Visande, Rey G. & Pallugna, Reuel C. & Caliao, Nolan D., 2011. "The contribution of renewable distributed generation in mitigating carbon dioxide emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4891-4896.
    8. Zhou, Kai-le & Yang, Shan-lin & Shen, Chao, 2013. "A review of electric load classification in smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 103-110.
    9. Clark, Woodrow & Isherwood, William, 2004. "Distributed generation: remote power systems with advanced storage technologies," Energy Policy, Elsevier, vol. 32(14), pages 1573-1589, September.
    10. Morais, Hugo & Kádár, Péter & Faria, Pedro & Vale, Zita A. & Khodr, H.M., 2010. "Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming," Renewable Energy, Elsevier, vol. 35(1), pages 151-156.
    11. Kavrakoglu, Ibrahim & Kiziltan, Gulseren, 1983. "Multiobjective strategies in power systems planning," European Journal of Operational Research, Elsevier, vol. 12(2), pages 159-170, February.
    12. Matthias Nowak & Werner Römisch, 2000. "Stochastic Lagrangian Relaxation Applied to Power Scheduling in a Hydro-Thermal System under Uncertainty," Annals of Operations Research, Springer, vol. 100(1), pages 251-272, December.
    13. Borges, Carmen Lucia Tancredo, 2012. "An overview of reliability models and methods for distribution systems with renewable energy distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4008-4015.
    14. Hafez, Omar & Bhattacharya, Kankar, 2012. "Optimal planning and design of a renewable energy based supply system for microgrids," Renewable Energy, Elsevier, vol. 45(C), pages 7-15.
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