전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제68권3호
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  • Pages.405-415
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  • 2019
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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전력기기 특성 및 가동 지연 불편도를 고려한 실시간 급작 수요 협상 프레임웍 기반 스마트 그리드 시스템

Real Time Sudden Demand Negotiation Framework based Smart Grid System considering Characteristics of Electric device type and Customer' Delay Discomfort

  • Yoo, Daesun (School of Industrial Engineering Kumoh National Institute of Technology) ;
  • Lee, Hyunsoo (School of Industrial Engineering Kumoh National Institute of Technology)
  • 투고 : 2018.08.06
  • 심사 : 2019.02.25
  • 발행 : 2019.03.01
⟨ 이전 논문 다음 논문 ⟩

초록

The considerations of the electrical device' characteristics and the customers' satisfaction have been important criteria for efficient smart grid systems. In general, an electrical device is classified into a non-interruptible device or an interruptible device. The consideration of the type is an essential information for the efficient smart grid scheduling. In addition, customers' scheduling preferences or satisfactions have to be considered simultaneously. However, the existing research studies failed to consider both criteria. This paper proposes a new and efficient smart grid scheduling framework considering both criteria. The framework consists of two modules - 1) A day-head smart grid scheduling algorithm and 2) Real-time sudden demand negotiation framework. The first method generates the smart grid schedule efficiently using an embedded genetic algorithm with the consideration of the device's characteristics. Then, in case of sudden electrical demands, the second method generates the more efficient real-time smart grid schedules considering both criteria. In order to show the effectiveness of the proposed framework, comparisons with the existing relevant research studies are provided under various electricity demand scenarios.

키워드

과제정보

본 논문은 교육 과학 기술부의 한국연구 재단(NRF) 기금을 통한 기초과학 연구 프로그램에서 지원하여 연구하였음(No. NRF-2018R1D1A3B07047113).

참고문헌

  1. A. J. Wood and B. F. Wollenberg, Power Generation, Operation, and Control. Wiley-Interscience, 1996.
  2. H. Farhangi, "The Path of the Smart Grid", IEEE Power and Energy Magazine, Vol. 8, 2010, pp. 18-28. https://doi.org/10.1109/MPE.2009.934876
  3. N. Ruiz, I. Cobelo, and J. Oyarzabal, "A direct load control model for virtual power plant management," IEEE Trans. on Power Systems, Vol. 24, No. 2, pp. 959-966, May 2009. https://doi.org/10.1109/tpwrs.2009.2016607
  4. D. D. Weers and M. A. Shamsedin, "Testing a new direct load control power line communication system," IEEE Trans. on Power Delivery, Vol. 2, No. 3, pp. 657-660, July 1987 https://doi.org/10.1109/TPWRD.1987.4308160
  5. P. Tarasak, "Optimal real-time pricing under load uncertainty based on utility maximization for smart grid," in Proc. of IEEE Conf. on Smart Grid Communications, 2011.
  6. J. Chen, B. Yang, and X. P. Guan, "Optimal demand response scheduling with stackelberg game approach under load uncertainty for smart grid," in Proc. 3rd IEEE Int. Conf. Smart Grid Commun., Nov. 2012, pp. 546-551.
  7. P. Samadi, A. H. Mohsenian-Rad, V. Wong, and R. Schober, "Tackling the load uncertainty challenges for energy consumption scheduling in smart grid," IEEE Trans. Smart Grid, Vol. 4, No. 2, pp. 1007-1016, Jun. 2013. https://doi.org/10.1109/TSG.2012.2234769
  8. I. Koutsopoulos and L. Tassiulas, "Optimal control policies for power demand scheduling in the smart grid," IEEE J. Select. Areas Commun., Vol. 30, pp. 1049-1060, Jul. 2012. https://doi.org/10.1109/JSAC.2012.120704
  9. H. Mortaji, S. H. Ow, M. Moghavvemi, and H. A. F. Almurib, "Smart grid demand response management using internet of things for load shedding and smart-direct load control," in Proc. 2016 IEEE Ind. Appl. Soc. Ann. Meeting, Portland, OR, USA, 2016, pp. 1-7.
  10. P. Palensky and D. Dietrich, "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads," IEEE Transactions on Industrial Informatics, Vol. 7, No. 3, pp. 381-388, 2011. https://doi.org/10.1109/TII.2011.2158841
  11. P. Siano, "Demand response and smart grids-A survey," Renew. Sustain. Energy Rev., Vol. 30, pp. 461-478, 2014. https://doi.org/10.1016/j.rser.2013.10.022
  12. A. H. Mohsenian-Rad, V. W. S. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, "Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid," IEEE Trans. on Smart Grid, Vol. 1, No. 3, pp. 320-331, Dec. 2010. https://doi.org/10.1109/TSG.2010.2089069
  13. H. K. Nguyen, J. B. Song, and Z. Han, "Demand side management to reduce peak-to-average ratio using game theory in smart grid," in Proc. IEEE Int. Conf. Comput. Commun. Workshops, Orlando, FL, USA, Mar. 2012, pp. 91-96.
  14. C. Chen, S. Kishore, and L. V. Snyder, "An innovative RTP-based residential power scheduling scheme for smart grids," Proc. ICASSP, 2011.
  15. S. Lee, DSM and DR Strategies for Sudden Demand Increases in the South Korean Power System [C]. National Harbor, MD (Washington, DC Metro Area), Maryland, USA. IEEE PES General Meeting, 2014.
  16. Niyato D, Wang P, Han Z, Hossain E. Impact of packet loss on power demand estimation and power supply cost in smart grid. In : Proceedings of IEEE wireless communications and networking conference(WCNC), Cancun; 2011. p. 2024-9.
  17. D. G. Hart. Using AMI to realize the smart grid. IEEE Power and Energy Society General Meeting 2008 - Conversion and Delivery of Electrical Energy in the 21st Century, pages 1-2, 2008.
  18. S. Chen, N. B. Shroff, and P. Sinha, "Heterogeneous delay tolerant task scheduling and energy management in the smart grid with renewable energy," IEEE J. Sel. Areas Commun., Vol. 31, No. 7, pp. 1258-1267, Jul. 2013. https://doi.org/10.1109/JSAC.2013.130709
  19. L. Song, Y. Xiao and M. V. D. Schar, "Demand Side Management in Smart Grids Using a Repeated Game Framework", IEEE Journal on Selected Areas in Communications, Vol. 32, No. 7, pp. 1412-1424, July 2014. https://doi.org/10.1109/JSAC.2014.2332119