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전력시스템 관리 및 Vehicle to Grid 전력시장 개발을 위한 가상발전소의 활용방안
Review of Virtual Power Plant Applications for Power System Management and Vehicle-to-Grid Market Development 원문보기

전기학회논문지 = The Transactions of the Korean Institute of Electrical Engineers, v.65 no.12, 2016년, pp.2251 - 2261  

Jin, Tae-Hwan (School of Mechanical Engineering, Yeungnam Uni.) ,  Park, Herie (Automotive Lighting LED-IT Convergence Education, Yeungnam University) ,  Chung, Mo (School of Mechanical Engineering, Yeungnam Uni.) ,  Shin, Ki-Yeol (School of Mechanical Engineering Yeungnam University) ,  Foley, Aoife (School of Mechanical and Aerospace Engineering, Queen's University of Belfast) ,  Cipcigan, Liana (Electrical & Electronic Discipline, School of Engineering, Cardiff University)

Abstract AI-Helper 아이콘AI-Helper

The use of renewable energy sources and energy storage systems is increasing due to new policies in the energy industries. However, the increase in distributed generation hinders the reliability of power systems. In order to stabilize power systems, a virtual power plant has been proposed as a novel...

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참고문헌 (27)

  1. D. Kathan, R. Aldina, M.P. Lee, L. Medearis, P. Sporborg, M. Tita, D. Wight, A. Wilkerson, "Assessment of Demand Response & Advanced Metering STAFF REPORT," Federal Energy Regulatory Commission, 2012. 

  2. A. Faruqui, R. Hledik, S. S. George, J. Bode, P. Mangasarian, I. Rohmund, G. Wikler, D. Dhosh, S. Yoshida, "A National Assessment of Demand Response Potential," Federal Energy Regulatory Commission, 2009. 

  3. Mapping Demand Response in Europe Today of SEDC, http://www.smartenergydemand.eu/?p6533 

  4. Demand Response Availability Data System (DADA) Phase I & II Final Report, North American Electric Reliability Corporation, http://www.nerc.com/pa/RAPA/dads/Pages/default.aspx 

  5. Korea Electric Power Corporation (Demand Side management), http://www.kepco.co.kr/dsm/ 

  6. Korea Power Exchange (Demand Resource Market), http://dr.kmos.kr/main/market_01.htm 

  7. Electric power statistics information system of Korea Power Exchange, http://epsis.kpx.or.kr/ 

  8. National Grid for Balancing Services, http://www2.nationalgrid.com/uk/services/balancing-services/reserve-services/ 

  9. Resources Subcommittee(RS) of North American Electric Reliability Corporation, http://www.nerc.com/comm/OC/Pages/RS/Resources-Subcommittee.aspx 

  10. Demand Response Subcommittee of PJM, http://www.pjm.com/committees-and-groups/subcommittees/drs.aspx 

  11. P. Siano, "Demand Response and smart grid - A survery," Renewable and Sustainable Energy Reviews, vol. 30, pp. 4161-478, 2014. 

  12. J.A. Lopes, N. Hatziargyriou, J. Mutale, P. Djapic, N. Jenkins, "Integrating distributed generation into electric power system : A review of drivers, challenges and opportunities," Electric Power System Research, vol. 77, pp. 1189-1203, 2007. 

  13. Muljadi, E., Parsons, B.: Comparing Singe and Multiple Turbine Representations in a wind Farm Simulation. European Wind Energy Conference, NREL/CP-500-39510, 2006. 

  14. S. Letendre, K. Gowri, M. Kintner-Meyer, R. Pratt, "Intelligent vehicle charging benefits assessment using EV Project data," Richland, WA: Pacific Northwest National Laboratory, 2013. 

  15. O. Palizban, K. Kauhaniemi, J.M. Geurrero, "Microgrids in active network management - Part I: Hierarchical control, energy storage, virtual power plant, and market participation," Renewable and Sustainable Energy Reviews, vol. 36, pp. 428-439, 2014. 

  16. Quadrennial TECHNOLOGY REVIEW 2015, Chapter 3: Enabling Modernization of the Electric Power System, http://energy.gov/quadrennial-technology-review-2015. 

  17. B. Wille-Haussmann, T. Erge, C. Witter, "Decentralised optimisation of cogeneration in virtual power plants," Solar Energy, vol. 84, pp. 604-611, 2010. 

  18. T.H. Jin, M. Chung, K.Y. Shin, H. Park, G.P. Lim, "Real-Time Dynamic Simulation of Korean Power Grid for Frequency Regulation Control by MW Battery Energy Storage System," Journal of Sustainable Development of Energy, Water and Environment Systems, 4(4), pp. 392-407, 2016. 

  19. J. D. Castillo, G. P. Lim, Y.B. Yoon, B. H. Chang, "Application of Frequency Regulation Control on the 4MW/8MWh Battery Energy Storage System (BESS) in Jeju Island, Republic of Korea," J. Energy Power Sources, vol. 1, pp. 287-295, 2014. 

  20. L. Sigrist, E. Lobato, L. Rouco, "Energy Storage System providing primary reserve and peak shaving in small isolated power system: An economic assessment," Electrical Power and Energy System, vol. 53, pp. 675-683, 2013. 

  21. A.G. Zamani, A. Zakariazadeh, S. Jadid, "Day-ahead resource scheduling of a renewable energy based virtual power plant," Applied Energy, vol. 169, pp. 324-340, 2016. 

  22. P. Faria, T. Soarea, Z. Vale, H. Morais, "Distributed generation and demand response dispatch for a virtual power player energy and reserve provision," Renewable Energy, vol. 66, pp. 686-695, 2014. 

  23. H. Marzooghi, G. Verbic, D.J. Hill, "Aggregated demand response modelling for future grid scenarios," Sustainable Energy, Grids and Networks, vol. 5, pp. 94-104, 2016. 

  24. K. Christakou, "A unified control strategy for active distribution networks via demand response and distributed energy storage systems," Sustainable Energy, Grids and Networks, vol. 6, pp. 1-6, 2016. 

  25. J. Aghaei, A. E. Nezhad, A. Rabiee, E. Rahimi, "Contribution of Plug-in Hybrid Electric Vehicles in power system uncertainty management," Renewable and Sustainable Energy Review, vol. 59, pp. 450-458, 2016. 

  26. A. Ghasemi, S.S. Mortazavi, E. Moshhour, "Hourly demand response and battery energy storage for imbalance reduction of smart distribution company embedded with electric vehicles and farms," Renewable Energy, vol. 85, pp. 124-136, 2016. 

  27. E. Xydas, C. Marmaras, L.M. Cipcigan, "A multi-agent based scheduling algorithm for adaptive electric vehicles charging," Applied Energy vol. 177, pp. 354-365. 2016. 

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