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Real-time Optimal Operation Planning of Isolated Microgrid Considering SOC balance of ESS

  • Lee, Yoon Cheol (Dept. of Electrical and Electronic Engineering, Pusan National University) ;
  • Shim, Ji Yeon (Unique Network Co, Ltd.) ;
  • Kim, Jeongmin (Dept. of Electrical and Electronic Engineering, Pusan National University) ;
  • Ryu, Kwang Ryel (Dept. of Electrical and Electronic Engineering, Pusan National University)
  • Received : 2018.08.27
  • Accepted : 2018.10.11
  • Published : 2018.10.31

Abstract

The operating system for an isolated microgrid, which is completely disconnected from the central power system, aims at preventing blackouts and minimizing power generation costs of diesel generators through efficient operation of the energy storage system (ESS) that stores energy produced by renewable energy generators and diesel generators. In this paper, we predict the amount of renewable energy generation using the weather forecast and build an optimal diesel power generation plan using a genetic algorithm. In order to avoid inefficiency due to inaccurate prediction of renewable energy generation, our search algorithm imposes penalty on candidate diesel power generation plans that fail to maintain the SOC (state of charge) of ESS at an appropriate level. Simulation experiments show that our optimization method for maintaining an appropriate SOC balance can prevent the blackout better when compared with the previous method.

Keywords

References

  1. Y. A.-R. I. Mohamed, and A. A. Radwan, “Hierarchical Control System for Robust Microgrid Operation and Seamless Mode Transfer in Active Distribution Systems,” IEEE Trans. on Smart Grid, Vol. 2, No. 2, pp. 352-362, June 2011. https://doi.org/10.1109/TSG.2011.2136362
  2. S. W. Lee, and J. Park, “Power allocation method for multiple ESS control considering SOC balancing in microgrids,” Trans. of the Korean Institute of Electrical Engineers, Vol. 66, No. 2, pp. 292-299, 2017. https://doi.org/10.5370/KIEE.2017.66.2.292
  3. G. Marinova, and V. Guliashki, "Energy Scheduling for Island Microgird Applications," Journal of Communication and Computer. Vol. 13, No. 6, pp. 281-290, 2016.
  4. J. A. P. Lopes, C. L. Moreira, and A. G. Madureira, “Defining Control Strategies for MicroGrids Islanded Operation,” IEEE Trans. on Power System., Vol. 21, No. 2, pp. 916-924, May 2006. https://doi.org/10.1109/TPWRS.2006.873018
  5. J. Xiao, L. Bai, F. Li, H. Liang, and C. Wang, “Sizing of Energy Storage and Diesel Generators in an Isolated Microgrid Using Discrete Fourier Transform (DFT),” IEEE Trans. on Sustainable Energy, Vol. 5, No. 3, pp. 907-916, 2014. https://doi.org/10.1109/TSTE.2014.2312328
  6. M. Ross, R. Hidalgo, C. Abbey, and G. Joos, “Energy storage system scheduling for an isolated microgrid,” IET Renewable Power Generation, Vol. 5, No. 2, pp. 117-123, 2011. https://doi.org/10.1049/iet-rpg.2009.0204
  7. J. Y. Sim, "Optimization of Constraint Satisfaction of Diesel Power Plan for Uninterrupted Operation of Stand-alone Microgrid", 2017.
  8. G. R. Harik, "Finding multimodal solutions using restricted tournament selection," Proceedings of the International Conference on Genetic Algorithms, pp. 24-31, San Francisco, CA, USA, 1995.
  9. SoDA, http://www.soda-pro.com
  10. OpenEI Datasets, https://openei.org/datasets/dataset