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Development and Field Experiment in Conventional Distribution of Power under Microgrid System
Current Issue
Volume 1, 2014
Issue 2 (June)
Pages: 17-22   |   Vol. 1, No. 2, June 2014   |   Follow on         
Paper in PDF Downloads: 23   Since Aug. 28, 2015 Views: 1757   Since Aug. 28, 2015
Authors
[1]
Yuvaraja T., Department of Electrical and Electronics, Meenakshi Academy of Higher Education & Research, Chennai City, India.
[2]
Gopinath M., Department of Electrical and Electronics, Dr. NGP Institute of Technology, Coimbatore City, India.
Abstract
Power distribution systems should meet demands such as the value of high reliability, adaptation and efficiency of renewable energy generators (REGs) in a smart grid. In varying the power distribution systems are virtual in nature. The power flow merit in radial system is been estimated. In the view of REGs causes bidirectional power flow. Further, there are some limits to improvements in scholastics reliability and efficiency in a radial system. For optimizing the power supply, we consider an economic dispatch method which is modelled by using static programming (SP), prescribing the value power demand and supply information. The power requirement and supply costs are analyzed. In stream value, we can calculate the costs, that can be reduced through the value insists in smart grid data communications infrastructure.
Keywords
Renewable Energy Generator (REG), Static Programming (SP)
Reference
[1]
S. Stoft, Power System Economics: Designing Markets for Electricity. NewYork: Wiley-IEEE Press, May 2002.
[2]
T. T. Kimand H.V. Poor, “Scheduling power consumption with price uncertainty,” IEEE Trans. Smart Grid, vol. 2, no. 3, pp. 519–527, Sep. 2011.
[3]
M. He, S. Murugesan, and J. Zhang, “A Markov decision process approach to multi-timescale scheduling and pricing in smart grids with integrated wind generation,” in Proc. IEEE Int. Workshop Comput. Adv. Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2011, pp. 125–128.
[4]
M. Pedrasa, T. D. Spooner, and I. F. MacGill, “Scheduling of demand side resources using binary particle swarm optimization,” IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1173–1181, Aug. 2009.
[5]
A. J. Conejo, J. M. Morales, and L. Baringo, “Real-time demand response model,” IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 236–242, Dec. 2010.
[6]
W. Shi and V. W. S. Wong, “Real-time vehicle-to-grid control algorithm under price uncertainty,” in Proc. IEEE Int. Conf. Smart Grid Commun. (SmartGridComm), Oct. 2011, pp. 261–266.
[7]
C. Dai, W. Chen, Y. Zhu, and X. Zhang, “Seeker optimization algorithm for optimal reactive power dispatch,” IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1218–1231, Aug. 2009.
[8]
L. Wu, M. Shahidehpour, and T. Li, “Cost of reliability analysis based on stochastic unit commitment,” IEEE Trans. Power Syst., vol. 23, no.
[9]
3, pp. 1364–1374, Au. 2008. g
[10]
J. Hetzer, D. C. Yu, and K. Bhattarai, “An economic dispatch model incorporating wind power,” IEEE Trans. Energy Convers., vol. 23, no. 2, pp. 603–611, Jun. 2008.
[11]
X. Liu and W. Xu, “Minimum emission dispatch constrained by stochastic wind power availability and cost,” IEEE Trans. Power Syst., vol. 25, no. 3, pp. 1705–1713, Aug. 2010.
[12]
S. Dharmaraja, V. Jindal, and U. Varshney, “Reliability and survivability analysis for UMTS networks: An analytical approach,” IEEE Trans. Netw. Service Manage., vol. 5, no. 3, pp. 132–142, Sep. 2008.
[13]
W. Hneiti and N. Ajlouni, “Dependability analysis of wireless local area networks,” in Proc. Int. Conf. Inf. Commun. Technol. (ICTTA), Apr. 2006, pp. 2416–2422.
[14]
H. Wen, C. Lin, F. Ren, Y. Yue, and X. Huang, “Retransmission or redundancy: Transmission reliability in wireless sensor networks,” in Proc. IEEE Int. Conf.Mobile Adhoc Sensor Syst. (MASS), Oct. 2007.
[15]
A. G. Bruce, “Reliability analysis of electric utility SCADA systems,” IEEE Trans. Power Syst., vol. 13, no. 3, pp. 844–849, Aug. 1998.
[16]
Z. Xie, G. Manimaran, V. Vittal, A. G. Phadke, and V. Centeno, “An information architecture for future power systems and its reliability analysis,” IEEE Trans. Power Syst., vol. 17, no. 3, pp. 857–863, Aug. 2002.
[17]
Y.Wang,W. Li, and J. Lu, “Reliability analysis of wide-area measurement system,” IEEE Trans. Power Del., vol. 25, no. 3, pp. 1483–1491, Jul. 2010.
[18]
L.Wen-Xia, L. Nian, F. Yong-Feng, Z. Li-Xin, and Z. Xin, “Reliability analysis of wide area measurement system based on the centralized distributed model,” in Proc. Power Syst. Conf. Expo. (PSCE), Mar. 2009, pp. 1–6.
[19]
J. Zhou, R. Hu, and Y. Qian, “Scalable distributed communication architectures to support advanced metering infrastructure in smart grid,” IEEE Trans. Parallel Distrib. Syst., to be published.
[20]
Z. Md. Fadlullah, M. Fouda, N. Kato, A. Takeuchi, N. Iwasaki, and Y. Nozaki, “Towards intelligent machine-to-machine communications in smart grid,” IEEE Commun.Mag., vol. 49, no. 4, pp. 60–65, Apr. 2011.
[21]
M. Fouda, Z. Md. Fadlullah, N. Kato, R. Lu, and X. Shen, “A lightweight message authentication scheme for smart grid communications,” IEEE Trans. Smart Grid, vol. 2, no. 4, pp. 675–685, Dec. 2011.
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