The Quantitative Evaluation Research of Grid Planning Economy Based on Improved DEA Model

Article Preview

Abstract:

To solve the problem for the complexity of the quantitative evaluation of grid planning economy, in accordance with the principle of cost-benefit analysis, and combined with the characteristics of UHV power grid, we construct an input-output index system which contains the planning costs, economic benefits, the benefits of interconnection, environmental benefits, social benefits and other benefits in this paper. And for the problem of comparison between unexpected output indicators and effective unit that exists in the index system, we improve the traditional data envelopment analysis (DEA), and build a quantitative evaluation model of grid planning economy based on the improved DEA model. Finally, use the data of the planning program of a UHV grid, to test and verify the established evaluation model. The results show that the model is reasonable and effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2163-2171

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhao Junguang, Tang Henghai, Wu Qifu. Study of economy assessment methods for electric power grid planning and related software design [J]. East China electric power, 2009, 37(2): 1-4.

Google Scholar

[2] Zhang Yunzhou, Han Feng, Wang Le, Sun Qiang, Li Jun. Study on integrated planning cost and its application in transmission grid[J]. Electric power, 2009, 42(12): 1-5.

Google Scholar

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

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

Google Scholar

[4] Lovell, C.A.K., P. Schmidt. A comparison of alternative approaches to the measurement of productive efficiency. Applications of Modern Production Theory: Efficiency and Productivity, 1988; 3-32.

DOI: 10.1007/978-94-009-3253-1_1

Google Scholar

[5] Andersen, P. , Petersen, N.C., 1993. A procedure for ranking efficient units in data envelopment analysis. Management Science 39 (10), 1261–1264.

DOI: 10.1287/mnsc.39.10.1261

Google Scholar

[6] Fa¨re, R., Grosskopf, S., Noh, D., Weber, W. Characteristics of a polluting technology: Theory and practice. Journal of Econometrics 2005; 126: 469–492.

DOI: 10.1016/j.jeconom.2004.05.010

Google Scholar

[7] Mandal, S.K., Madheswaran, S. Environmental efficiency of the Indian cement industry: an interstate analysis. Energy Policy 2010; 38: 1108–1118.

DOI: 10.1016/j.enpol.2009.10.063

Google Scholar