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

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Control Algorithm of Hybrid System for Feeder Flow Mode Operation in Microgrid

마이크로그리드에서 하이브리드 시스템의 Feeder Flow Mode 운영을 위한 제어 알고리즘

  • Received : 2010.09.13
  • Accepted : 2010.11.13
  • Published : 2011.01.01
Download PDF
⟨ Previous Next ⟩

Abstract

Active power control scheme for distributed generation in microgrid consists of feeder flow control and unit power control. Feeder flow control is more useful than the unit power control for demand-side management, because microgrid can be treated as a dispatchable load at the point of common coupling(PCC). This paper presents detailed descriptions of the feeder flow control scheme for the hybrid system in microgrid. It is divided into three parts, namely, the setting of feeder flow reference range for stable hybrid system operation, feeder flow control algorithm depending on load change in microgrid and hysteresis control. Simulation results using the PSCAD/EMTDC are presented to validate the inverter control method for a feeder flow control mode. As a result, the feeder flow control algorithm for the hybrid system in microgrid is efficient for supplying continuously active power to customers without interruption.

Keywords

References

  1. R. H. Lasseter, "Microgrids," IEEE PES Winter Meeting, Jan. 2002.
  2. P. Piagi, R. H. Lasseter, "Autonomous control of microgrids," IEEE PES General Meeting, Jun. 2006.
  3. F. Katiraei, M. R. Iravani, "Power management strategies for a microgrid with multiple distributed generation units", IEEE Trans. on Power Systems, vol. 21, no. 4, Nov. 2006, pp. 1821-1831. https://doi.org/10.1109/TPWRS.2006.879260
  4. R. H. Lasseter, "Control and design of microgrid components," PSERC Final Project Report, Jan. 2006.
  5. G. Kyriakarakos, G. Papadakis, Essam Sh. Mohamed, "Realization and Testing of a Hybrid Renewable Energy Polygeneration System," 4th European Conference PV-Hybrid and Mini-Grid, 8pp, 2008.
  6. M.A.S. Masoum Dehbonei, E.F H. Fuchs, "Theoretical and experimental analyses of photovoltaic systems with voltageand current-based maximum power-point tracking," IEEE Trans. on Energy Conversion, VOL. 17, NO. 4, pp. 514-522, December 2004.
  7. Minwon Park, In-Keun Yu, "A Novel Real-Time Simulation Technique of Photovoltaic Generation Systems Using RTDS," IEEE Trans. on Energy Conversion, VOL. 19, NO. 1, March 2004.
  8. Fuel Cell Handbook, 5th ed., EG&G Services Parsons Inc., U.S. Department of Energy, 2000.
  9. C. Wang, M. H. Nehrir, and S. R. Shaw, "Dynamic models and model validation for PEM fuel cells using electrical circuits," IEEE Trans. Energy Conversion, vol. 20, no. 2, pp. 442-451, Jun. 2005. https://doi.org/10.1109/TEC.2004.842357
  10. Massomo Ceraolo, "New Dynamical Models of Lead_Acid Batteries", IEEE transactons on power system, Vol.15, No.4 November, 2000.
  11. Stefano Barsali, Massimo Ceraolo, " Dynamical Models of Lead-Acid Batteries: Implementation Issues", IEEE transaction on energy conversion, vol. 17, no 1, march 2002.