ETRI Journal

  • 제35권4호
  • /
  • Pages.677-686
  • /
  • 2013
  • /
  • 1225-6463(pISSN)
  • /
  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
권호 표지
DOI QR코드

DOI QR Code

An Optimal Power Scheduling Method Applied in Home Energy Management System Based on Demand Response

  • Zhao, Zhuang (Department of Electronic Engineering, Soongsil University) ;
  • Lee, Won Cheol (Department of Electronic Engineering, Soongsil University) ;
  • Shin, Yoan (Department of Electronic Engineering, Soongsil University) ;
  • Song, Kyung-Bin (Department of Electrical Engineering, Soongsil University)
  • 투고 : 2012.09.13
  • 심사 : 2013.04.18
  • 발행 : 2013.08.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we first introduce a general architecture of an energy management system in a home area network based on a smart grid. Then, we propose an efficient scheduling method for home power usage. The home gateway (HG) receives the demand response (DR) information indicating the real-time electricity price, which is transferred to an energy management controller (EMC). Referring to the DR, the EMC achieves an optimal power scheduling scheme, which is delivered to each electric appliance by the HG. Accordingly, all appliances in the home operate automatically in the most cost-effective way possible. In our research, to avoid the high peak-to-average ratio (PAR) of power, we combine the real-time pricing model with the inclining block rate model. By adopting this combined pricing model, our proposed power scheduling method effectively reduces both the electricity cost and the PAR, ultimately strengthening the stability of the entire electricity system.

키워드

참고문헌

  1. J. Lu, D. Xie, and Q. Ai, "Research on Smart Grid in China," IEEE Transmission Distrib. Conf. Exposition: Asia Pacific, Seoul, Rep. of Korea, Oct. 2009, pp. 1-4.
  2. L. Peretto, "The Role of Measurements in the Smart Grid Era," IEEE Instrum. Meas. Mag., vol. 13, no. 3, June 2010, pp. 22-25.
  3. G. Xiong et al., "Smart (In-Home) Power Scheduling for Demand Response on the Smart Grid," IEEE PES Conf. Innov. Smart Grid Technol., Anaheim, CA, USA, Jan. 2011, pp. 1-7.
  4. T.T. Kim and H.V. Poor, "Scheduling Power Consumption with Price Uncertainty," IEEE Trans. Smart Grid, vol. 2, no. 3, Sept. 2011, pp. 519-527. https://doi.org/10.1109/TSG.2011.2159279
  5. A.-H. Mohsenian-Rad and A. Leon-Garcia, "Optimal Residential Load Control with Price Prediction in Real-Time Electricity Pricing Environments," IEEE Trans. Smart Grid, vol. 1, no. 2, Sept. 2010, pp. 120-133. https://doi.org/10.1109/TSG.2010.2055903
  6. S. Tompros et al., "Enabling Applicability of Energy Saving Applications on the Appliances of the Home Environment," IEEE Netw., vol. 23, no. 6, Nov. 2009, pp. 8-16. https://doi.org/10.1109/MNET.2009.5350347
  7. Y.S. Son and K.D. Moon, "Home Energy Management System Based on Power Line Communication," Proc. IEEE Int. Conf. Consum. Electron., Las Vegas, NV, USA, Jan. 2010, pp. 115-116.
  8. M. Inoue et al., "Network Architecture for Home Energy Management System," IEEE Trans. Consum. Electron., vol. 49, no. 3, Aug. 2003, pp. 606-613. https://doi.org/10.1109/TCE.2003.1233782
  9. M. Erol-Kantarci and H.T. Mouftah, "Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid," IEEE Trans. Smart Grid, vol. 2, June 2011, pp. 314-325. https://doi.org/10.1109/TSG.2011.2114678
  10. Time-Based Pricing. Available: http://en.wikipedia.org/wiki/-Time-based_pricing
  11. M.A.A. Pedrasa, T.D. Spooner, and I.F. MacGill, "Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services," IEEE Trans. Smart Grid, vol. 1, no. 2, Sept. 2010, pp. 134-143. https://doi.org/10.1109/TSG.2010.2053053
  12. A.-H. Mohsenian-Rad et al., "Optimal and Autonomous Incentive-Based Energy Consumption Scheduling Algorithm for Smart Grid," IEEE Conf. Innov. Smart Grid Technol., Gaithersburg, MD, USA, Jan. 2010, pp. 1-6.
  13. A. Aggarwal, S. Kunta, and P.K. Verma, "A Proposed Communications Infrastructure for the Smart Grid," IEEE Conf. Innov. Smart Grid Technol., Gaithersburg, MD, USA, Jan. 2010, pp. 1-5.
  14. D.Y.R. Nagesh, J.V.V. Krishna, and S.S. Tulasiram, "A Real-Time Architecture for Smart Energy Management," IEEE Conf. Innov. Smart Grid Technol., Gaithersburg, MD, USA, Jan. 2010, pp. 1-4.
  15. S. Young and R. Stanic, "SmartMeter to HAN Communications," Smart Grid Australia Intelligent Networking Working Group, July 2009.
  16. B.R. Szkuta, L.A. Sanabria, and T.S. Dillon, "Electricity Price Short-Term Forecasting Using Artificial Neural Networks," IEEE Trans. Power Syst., vol. 14, no. 3, Aug. 1999, pp. 851-857.
  17. D.W. Bunn, "Forecasting Loads and Prices in Competitive Power Markets," Proc. IEEE, vol. 88, no. 2, Feb. 2000, pp. 163-169. https://doi.org/10.1109/5.823996
  18. C.P. Rodriguez and G.J. Anders, "Energy Price Forecasting in the Ontario Competitive Power System Market," IEEE Trans. Power Syst., vol. 19, no. 1, Feb. 2004, pp. 366-374. https://doi.org/10.1109/TPWRS.2003.821470
  19. A.J. Conejo et al., "Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models," IEEE Trans. Power Syst., vol. 20, no. 2, May 2005, pp. 1035-1042. https://doi.org/10.1109/TPWRS.2005.846054
  20. Inclining Block Rate in British Columbia Hydro Co., Jan. 2012. http://www.bchydro.com/youraccount/content/-residential_rates.jsp
  21. Real-Time Pricing for Residential Customers, Ameren Illinois Power Co., Jan. 2012. https://www2.ameren.com/retailenergy/realtimeprices.aspx
  22. O. Derin and A. Ferrante, "Scheduling Energy Consumption with Local Renewable Micro-Generation and Dynamic Electricity Prices," Proc. 1st Workshop Green Smart Embedded Syst. Technol.: Infrastructures, Methods, Tools, Stockholm, Sweden, Apr. 2010.
  23. A.-H. Mohsenian-Rad et al., "Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid," IEEE Trans. Smart Grid, vol. 1, no. 3, Dec. 2010, pp. 320-331. https://doi.org/10.1109/TSG.2010.2089069
  24. L.D. HA et al., "Tabu Search for the Optimization of Household Energy Consumption," Proc. IEEE Int. Conf. Inf. Reuse Integration, Sept. 2006, pp. 86-92.
  25. J. Chen, B. Yang, and X. Guan, "Optimal Demand Response Scheduling with Stackelberg Game Approach under Load Uncertainty for Smart Grid," IEEE 3rd Int. Conf. SmartGridComm., Tainan, Taiwan, Nov. 2012, pp. 546-551.

피인용 문헌

  1. Design and Implementation of Meter Simulator for Smart Grid Technology vol.2, pp.3, 2013, https://doi.org/10.12720/ijoee.2.3.254-257
  2. An efficient energy and power manager for autonomous systems based on energy harvesting vol.81, pp.1, 2013, https://doi.org/10.1007/s10470-014-0386-x
  3. Design of SCR-Based ESD Protection Circuit for 3.3 V I/O and 20 V Power Clamp vol.37, pp.1, 2013, https://doi.org/10.4218/etrij.15.0114.0730
  4. Generation Expansion Planning Model Supporting Diverse Environmental Policies for Reduction of Greenhouse Gases vol.37, pp.2, 2013, https://doi.org/10.4218/etrij.15.2314.0059
  5. 광패턴을 이용한 능동형 수위 및 거리 측정 기법 vol.52, pp.4, 2013, https://doi.org/10.5573/ieie.2015.52.4.156
  6. User-friendly monitoring system for residential PV system based on low-cost power line communication vol.61, pp.2, 2013, https://doi.org/10.1109/tce.2015.7150571
  7. Lighting Control System Based on the RTP of Smart Grid in WSN vol.11, pp.9, 2013, https://doi.org/10.1155/2015/571429
  8. Adaptive Standby Mode Scheduling Method Based on Analysis of Activation Pattern for Improving User Experience of Low-Power Set-Top Boxes vol.38, pp.5, 2016, https://doi.org/10.4218/etrij.16.2615.0041
  9. Home energy management incorporating operational priority of appliances vol.74, pp.None, 2013, https://doi.org/10.1016/j.ijepes.2015.07.035
  10. Energy Management for Smart Multi-Energy Complementary Micro-Grid in the Presence of Demand Response vol.11, pp.4, 2013, https://doi.org/10.3390/en11040974
  11. Peak shaving: a planning alternative to reduce investment costs in distribution systems? vol.10, pp.4, 2013, https://doi.org/10.1007/s12667-018-0299-3
  12. Smart home energy management system under false data injection attack vol.30, pp.7, 2013, https://doi.org/10.1002/2050-7038.12411
  13. Home Electrical Energy Management System Using DijCostMin Algorithm vol.1569, pp.None, 2013, https://doi.org/10.1088/1742-6596/1569/4/042004
  14. Scalable Microgrid Process Model: The Results of an Off-Grid Household Experiment vol.14, pp.21, 2013, https://doi.org/10.3390/en14217139