Effectiveness Assessment of Black Start Schemes Based on Data Envelopment Analysis from the Perspective of Power Grid Crisis

Shi Hua Li

doi:10.4028/www.scientific.net/AMR.1008-1009.387

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1008-1009Effectiveness Assessment of Black Start Schemes...

Effectiveness Assessment of Black Start Schemes Based on Data Envelopment Analysis from the Perspective of Power Grid Crisis

Abstract:

Black start of power system is an issue of typical semi-structural optimization. Black-start scheme of power-grid recovery should have one or more alternative plans, when one project due to some special links cannot be successfully implemented, the other can quickly be implemented, so as to ensure the success rate of black-start crisis recovery. The preplan of crisis management requires the effective plan of crisis disposal, especially the preplan of black-start-path must be established, because effective recovery-path program can obtain an effective disposal of crisis to prevent the spread of the crisis. It is by the model of DEA that can evaluate the relative efficiency of the same type of black-start-path with multiple input, multiple output indexes, so as to identify gaps and improve the factors that affect the efficiency. So we chose the DEA model to evaluate the selection-path of black-start.

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Periodical:

Advanced Materials Research (Volumes 1008-1009)

Pages:

387-390

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.387

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Online since:

August 2014

Authors:

Shi Hua Li*

Keywords:

Black Start, Data Envelopment Analysis, DEA, Power Grid Crisis

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* - Corresponding Author

References

[1] Cohen A I, Brandwahjn V, Chang Show-Kan. Security constrained unit commitment for open markets[C]. 1999 IEEE International Conference on Power Industry Computer Applications. California: 1999. 39-44.

DOI: 10.1109/pica.1999.779383

Google Scholar

[2] Stefanini, Alberto, Masera, Marcelo. The security of power systems and the role of information and communication technologies: lessons from the recent blackouts [J]. International Journal of Critical Infrastructures, v 4, n 1-2, 2008, pp.32-45.

DOI: 10.1504/ijcis.2008.016090

Google Scholar

[3] Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2: 429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar

[4] Song-Di Qian. Operational Research [M]. Beijing: Tsinghua University Press, 2006, 06.

Google Scholar

[5] Quan-Ling Wei. DEA methods for assessing relative effectiveness [M]. Beijing: Chinese people University press, (1988).

Google Scholar

[6] Jenne, C. A, Cattell, R. K., 1983. Structural change and energy efficiency in industry. Energy Economics, 5, pp.114-123.

DOI: 10.1016/0140-9883(83)90018-x

Google Scholar

[7] Jin-Li Hu, Shi-Chuan Wang, 2006. Total-factor energy efficiency of regions in China. Energy Policy, 34, pp.3206-3217.

DOI: 10.1016/j.enpol.2005.06.015

Google Scholar

[8] Xian-ming Meng. Study on power-grid's black-start [D]. Tianjin University, 2007, 26-38.

Google Scholar

[9] Li Shi-Hua. Research on the online intelligent decision-making system of power-grid security based on power grid crisis[C]. Advanced Materials Research Vols. 889-890 (2014) pp.1555-1558.

DOI: 10.4028/www.scientific.net/amr.889-890.1555

Google Scholar

[10] Li Shi-Hua, Zhao Shi-De. Efficiency evaluation on listed power company based on data envelopment analysis [J]. Advanced Materials Research, Vols. 63-64 (2011, 06) pp.318-321.

DOI: 10.4028/www.scientific.net/amm.63-64.318

Google Scholar