DOI QR코드

DOI QR Code

Local-Generator-Based Virtual Power Plant Operation Algorithm Considering Operation Time

  • Park, Sung-Won (Dept. of Electrical Engineering, Gachon University) ;
  • Park, Yong-Gi (Dept. of Electrical and Electronic Engineering, Youngsan University) ;
  • Son, Sung-Yong (Dept. of Electrical Engineering, Gachon University)
  • Received : 2016.07.19
  • Accepted : 2017.07.18
  • Published : 2017.11.01

Abstract

A virtual power plant (VPP) is a system that virtually integrates power resources based on the VPP participating customer (VPC) unit and operates as a power plant. When VPP operators manage resources to maximize their benefits, load reduction instructions may focus on more responsive VPCs, or those producing high profitability, by using VPC resources with high operation efficiency. VPCs may thus encounter imbalance problems during operation. This imbalance in operation time would bring more participation for some VPCs, causing potential degradation of their resources. Such an operation strategy would be not preferable for VPP operators in managing the relationship with VPCs. This issue impedes both continual VPC participation and economical and reliable VPP operation in the long term. An operation algorithm is therefore proposed that considers the operation time of VPC generators for mandatory reduction of power resource consumption. The algorithm is based on constraints of daily and annual operation times when VPP operators of local generators perform capacity-market power transactions. The algorithm maximizes the operator benefit through VPP operations. The algorithm implements a penalty parameter for imbalances in operation times spent by VPC generators in fulfilling their obligations. An evaluation was conducted on VPP operational effects by applying the algorithm to the Korean power market.

Keywords

References

  1. S. You, C. Traeholt, B. Poulsen, "Generic Virtual Power Plants: Management of Distributed Energy Resources under Liberalized Electricity Market," 8th IET International Conference on Advances in Power System Control, Operation and Management. Hong Kong, China: Institution of Engineering and Technology, Nov. 2009
  2. P. Lombardi, M. Powalko, K. Rudion, "Optimal Operation of a Virtual Power Plant," IEEE Power & Energy Society General Meeting, Calgary, Canada, July 2009.
  3. N. Ruiz, I. Cobelo, J. Oyarzabal "A Direct Load Control Model for Virtual Power Plant Management," IEEE Transactions on Power Systems, vol. 24, pp. 959-966, May 2009. https://doi.org/10.1109/TPWRS.2009.2016607
  4. M.A Salmani, et al., "Virtual Power Plant: New Solution for Managing Distributed Generations in Decentralized Power Systems," Management and Service Science, 2010 International Conference, pp. 1-6, 2010.
  5. D. Hropko, J. Ivanecky; J. Turcek "Optimal Dispatch of Renewable Energy Sources Included in Virtual Power Plant Using Accelerated Particle Swarm Optimization," ELEKTRO 2012, pp. 196-200, Oct. 2012.
  6. M. Peikherfeh, M. H. Seifi, M. K. Sheikh-El-Eslami, "Optimal Decision Making for Virtual Power Plant Operation," IPEC 2010 Conference Proceedings, pp. 625-629, Oct. 2010.
  7. M. Peikherfeh, M. H. Seifi, M. K. Sheikh-El-Eslami, "Decision Making of a Virtual Power Plant under Uncertainties for bidding in a Day-ahead Market using Point Estimate Method," International Journal of Electrical Power & Energy Systems, vol. 44, pp. 88-98, Jan. 2013. https://doi.org/10.1016/j.ijepes.2012.07.016
  8. M. A. Tajeddini, A. Rahimi-Kian, A. Soroudi, "Risk Averse Optimal Operation of a Virtual Power Plant Using Two-stage Stochastic Programming," Energy, vol. 73, pp. 958-967, Aug. 2014. https://doi.org/10.1016/j.energy.2014.06.110
  9. S. R. Dabbagh, M. K. Sheikh-El-Eslami, "Risk-based Profit Allocation to DERs Integrated with a Virtual Power Plant Using Cooperative Game Theory," Electric Power Systems Research, vol. 121, pp. 368-378, April 2015. https://doi.org/10.1016/j.epsr.2014.11.025
  10. Y. Wang, Xin Ai, Z. Tan, Lei Yan, "Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory," IEEE Transactions on Smart Grid, vol. 7, pp. 510-519, Jan. 2016. https://doi.org/10.1109/TSG.2015.2409121
  11. H. Taheri, A. Rahimi-Kian, H. Ghasemi, B. Alizadeh, "Optimal Operation of a Virtual Power Plant with Risk Management," Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES, pp. 16-20, Jan. 2012.
  12. P. B. Andersen, B. Poulsen, M. Decker, C. Træholt, J. Ostergaard, "Evaluation of a Generic Virtual Power Plant Framework Using Service Oriented Architecture," 2nd IEEE International Conference on Power and Energy, 2008.
  13. Srdan Vukmirovic, Aleksandar Erdeljan, Filip Kulic, Slobodan Lukovic, "Software Architecture for Smart Metering Systems with Virtual Power Plant," 15th IEEE Mediterranean Electrotechnical Conference, 2010.
  14. A. Moshari, A. Ebrahimi. M. Fotuhi-Firuzabad, "Short-Term Impacts of DR Programs on Reliability of Wind Integrated Power Systems Considering Demand-Side Uncertainties," IEEE Transactions on Power Systems, vol. 31, pp. 2481-2490, May 2016. https://doi.org/10.1109/TPWRS.2015.2449778
  15. Association of Edison Illuminating Companies, "Demand Response Measurement & Verification," March 2009.
  16. Zheng Hu, Jin-ho Kim, Jianhui Wang, John Byrne, "Review of Dynamic Pricing Programs in the U.S. and Europe: Status Quo and Policy Recommendations," Renewable and Sustainable Energy Reviews, vol. 42, pp. 743-751, Feb. 2015. https://doi.org/10.1016/j.rser.2014.10.078
  17. Korea Power Exchange(KPX), "Electricity Market Operation Rules," 2015.
  18. A. J. Wood and B. F. Wollenberg, Power Generation, Operation, and Control, 2nd Ed., New York: Wiley, 1996.
  19. R. E. Bixby, M. Fenelon, Z. Gu, E. Rothberg, and R. Wunderling, "MIP: Theory and Practice Closing the Gap," System Modeling and Optimization: Methods, Theory and Applications, M. J. D. Powell and S. Scholtes, Eds. Norwell, MA: Kluwer, 2000, pp. 19-50.
  20. R. E. Bixby, M. Fenelon, Z. Gu, E. Rothberg, and R. Wunderling, "Optimal Response of a Thermal Unit to an Electricity Spot Market," IEEE Transactions on Power Systems, vol. 15, pp. 1098-1104, Aug. 2000. https://doi.org/10.1109/59.871739
  21. M. Carrion, J. M. Arroyo, "A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem," IEEE Transactions on Power Systems, vol. 21, pp. 1371-1378, Aug. 2006. https://doi.org/10.1109/TPWRS.2006.876672
  22. M. P. Nowak and W. Romisch, "Stochastic Lagrangian Relaxation Applied to Power Scheduling in a Hydro-thermal System under Uncertainty," Ann. Oper. Res., vol. 100, pp. 251-272, 2000. https://doi.org/10.1023/A:1019248506301
  23. F. Mohamed, "Microgrid modelling and online management," Ph.D. dissertation, Helsinki University of Technology, Helsinki, Finland, 2008.