A Spatial and Temporal Evolvement OPA Simulation Method with Optimal Smart Grid Loss

Guchao Xu^1, , Huaiyi Chen¹, Yixi Chen¹, Linru Jiang¹, Rong Ju¹ and Gang Ma¹

¹School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China

Cite this paper:
Guchao Xu, Huaiyi Chen, Yixi Chen, Linru Jiang, Rong Ju and Gang Ma. A Spatial and Temporal Evolvement OPA Simulation Method with Optimal Smart Grid Loss. American Journal of Electrical and Electronic Engineering. 2017; 5(5):166-171. doi: 10.12691/ajeee-5-5-1

Abstract

The volatility of distributed generation (DG) output power have certain effect on the planning, stability, electric quality, and the relay protection of smart grid. Therefore, traditional grid models are not suitable for the smart grid containing DG. Based on the electrical characteristics of power system, this paper takes the minimization of network loss as the optimization goal to achieve maximum benefit of smart grid. Growing-points are utilized by the OPA model established in this paper to determine the locations and the capabilities of new generation nodes, in order to offer research basis for the planning of smart grid.

Keywords:
self-organized criticality spatial and temporal evolvement OPA distributed generation

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References:

[1]	Vidyasagar S., Vijayakumar K., Ramanujam R., et al., “Voltage Profile Improvement Using DG in Reconfigured Distribution System”, International Journal of Control and Automation, 8(6). 393-410. Jan. 2015.
[2]	Abapour S., Zare K. and Mohammadi-Ivatloo B., “Dynamic Planning of Distributed Generation Units in Active Distribution Network”, IET Generation Transmission and Distribution, 9(12). 1445-1463. Aug. 2015.
[3]	Kang SW. and Kim KH., “A Novel Hybrid Anti-Islanding Detection Method for Three-Phase Grid Connected Utility Interactive Inverter of a PMSG-Based Wind Power Generation”, International Journal of Control and Automation, 7(6). 257-268. Jun. 2014.
[4]	Ji Y., Ai Q. and Xie D., “Research on Co-Developmental Trend of Distributed Generation and Smart Grid”, Power System Technology, 34(12). 15-23. Dec. 2010.
[5]	Aigner T., Jaehnert S.,.Doorman GL and Gjengedal T., “The Effect of Large-Scale Wind Power on System Balancing in Northern Europe”, IEEE Transactions on Sustainable Energy,3(4). 751-759. Aug. 2012.
[6]	Zhao Y. and Hu X., “Impacts of Distributed Generation on Distribution System Voltage Sags”, Power System Technology, 32(14). 5-10. Jul. 2008.
[7]	Shi L., Shi Z., Yao L., Ni Y. and Bazargan M., “A Review of Mechanism of Large Cascading Failure Blackouts of Modern Power System”, Power System Technology, 34(3). 48-54. Mar. 2010.
[8]	Yi J., Zhou X. and Xiao Y., “Determining the Self-Organized Criticality State of Power Systems by the Cascading Failures Searching Method”, Proceedings of the CSEE, 27(25). 1-5. Sep. 2007.
[9]	Wu X., Zhang J., Wu L. and Huang Z., “Method of Operational Risk Assessment on Transmission System Cascading Failure”, Proceedings of the CSEE, 32(34). 74-82. Dec. 2012.
[10]	Cao Y., Chen Y., Cao L., et al, “Prospects of Studies on Application of Complex System Theory in Power Systems”, Proceedings of the CSEE, 32(19). 1-7. Jul. 2012.
[11]	Albert R., Jeong H. and Barabasi AL., “Error and Attack Tolerance of Complex Networks”, Nature, 406(6794). 378-382. Jul. 2000.
[12]	Sakaguchi H. and Matsuo T., “Cascade Failure in a Phase Model of Power Grids”, Journal of the Physical Society of Japan, 81(7). 1-7. May. 2012.
[13]	Cao Y., Wang G., Bao Z., et al., “Temporal and Spatial Evolvement Model of Power Grid”, Electric Power Automation Equipment, 29(1). 1-5. Jan. 2009.
[14]	Goswami SK., “Distribution System Planning Using Branch Exchange Technique”, IEEE Transactions on Power Systems, 12(2). 718-723. May. 1997.
[15]	Watts DJ. and Strogatz SH., “Collective Dynamics of ‘Small-World’ Networks”, Nature, 393(6684). 440-442. Jun. 1998.
[16]	Newman MEJ. and Watts DJ., “Renormalization Group Analysis of the Small-World Network Model”, Physics Letters A, 263(4-6). 341-346. Dec. 1999.
[17]	Mei S., He F., Zhang X. et al., “An Improved OPA Model and the Evaluation of Blackout Risk”, Automation of Electric Power Systems, 32(13). 1-5. Jul. 2008.