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A Study on Simplified Robust Optimal Operation of Microgrids Considering the Uncertainty of Renewable Generation and Loads

신재생에너지와 부하의 불확실성을 고려한 마이크로그리드의 단순화된 강인최적운영 기법에 관한 연구

  • Lee, Byung Ha (Dept. of Electrical Engineering, Incheon National University)
  • Received : 2016.11.07
  • Accepted : 2017.02.02
  • Published : 2017.03.01

Abstract

Robust optimal operation of a microgrid is required since the increase of the penetration level of renewable generators in the microgrid raises uncertainty due to their intermittent power output. In this paper, an application of probabilistic optimization method to economical operation of a microgrid is studied. To simplify the treatment of the uncertainties of renewable generations and load, the new 'band of virtual equivalent load variation' is introduced considering their uncertainties. A simplified robust optimization methodology to generate the scenarios within the band of virtual equivalent load variation and to obtain the optimal solution for the worst scenario is presented based on Monte Carlo method. The microgrid to be studied here is composed of distributed generation system(DGs), battery systems and loads. The distributed generation systems include combined heat and power(CHP) and small generators such as diesel generators and the renewable energy generators such as photovoltaic(PV) systems and wind power systems. The modeling of the objective function for considering interruption cost by the penalty function is presented. Through the case study for a microgrid with uncertainties, the validity of proposed robust optimization methodology is evaluated.

Keywords

References

  1. Chih-Chiang Hua, "Charge and discharge characteristics of lead-acid battery and LiFePO4 battery", The 2010 International Power Electronics Conference, pp. 1478-1483, 2010.
  2. TAN Ying, LV Zhilin, LI Suchua, "Stand-alone micro-grid distributed generator optimization with different battery technologies", Proceedings of the 34th Chinese Control Conference, pp.2651-2656, 2015.
  3. L. Xie and M. Ilic, "Model predictive economic/environmental dispatch of power systems with intermittent resources," in IEEE Power and Energy Society General Meeting, pp. 1-6, Jul. 2009.
  4. Hak-Ju Lee, Woo-Ku Cha, Il-Kun Song and Yoon Yong-Tae, "Development of Economic based Optimal Operation Program for Microgrid," Journal of KIEE, Vol.23, No.12, pp. 106-114, 2009.
  5. H.-M. Kim, and T. Kinoshita, "A Multiagent System for Microgrid Operation in the Grid-interconnected Mode," Journal of Electrical Engineering and Technology, Vol. 5, No. 2, pp. 246-254, 2010. https://doi.org/10.5370/JEET.2010.5.2.246
  6. W. Gu, Z. Wu, and X. Yu, "Microgrid Economic Optimal Operation of the Combined Heat and Power System with Renewable Energy," Proceedings of 2010 IEEE Power and Energy Society General Meeting, pp. 1-6, Jul. 2010.
  7. Byung Ha Lee, "A Study on Methodology of Optimal Operation of BESS and Diesel Generators in a Microgrid Considering Efficiency Characteristics according to the Power Ratios of Diesel Generators," Journal of KIEE, Vol.65, No.4, pp. 539-546, 2016.
  8. D. Ke, C. Y. Chung, and Y. Sun, "A novel probabilistic optimal power flow model with uncertain wind power generation described by Customized Gaussian Mixture Model," IEEE Trans. on Sustainable Energy, Vol. 7, No. 1, pp. 200-212, 2016. https://doi.org/10.1109/TSTE.2015.2489201
  9. Miao Fan, "A Novel Optimal Generation Dispatch Algorithm to Reduce the Uncertainty Impact of Renewable Energy", Proceedings of 2016 IEEE Power and Energy Society General Meeting, pp. 1-5, Jul. 2016.
  10. G. Liu, Y. Xu, and K. Tomsovic, "Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic-Robust Optimization", IEEE TRANSACTIONS ON SMART GRID, Vol. 7, No. 1, pp. 227-237, Jan. 2016. https://doi.org/10.1109/TSG.2015.2476669
  11. C, Peng, P, Xie, L, Pan, and R, Yu, "Flexible Robust Optimization Dispatch for Hybrid Wind/Photovoltaic/ Hydro/Thermal Power System", IEEE TRANSACTIONS ON SMART GRID, Vol. 7, No. 2, pp. 751-762, Mar. 2016. https://doi.org/10.1109/TSG.2015.2471102
  12. R. Shi, C. Sun, Z. Zhou, L. Zhang, and Z. Liang, "A robust economic dispatch of residential microgrid with wind power and electric vehicle integration", Proceedings of 2016 IEEE Power and Energy Society General Meeting, pp. 3672-3676, Jul. 2016.
  13. D. Cheng and B. Venkatesh, "Literature survey and comparison of consumer interruption costs in North America and Europe", 2014 IEEE Canadian Conference on Electrical and Computer Engineering, pp. 1-7, May. 2014.