Technical Papers
Feb 24, 2015

Procedure and Model of Antidisaster Differentiated Planning for a Power Distribution System

Publication: Journal of Energy Engineering
Volume 142, Issue 1

Abstract

Physical topology is essential for antidisaster and disaster recovery abilities of power systems. Focusing on preparedness of physical topology, differentiated planning has been proposed, which refers to supplying power continuously to important special loads under disaster conditions by upgrading the construction standard of the selected subsystem, as well as installing distributed generation, microgrid, or movable generation. In this paper, the specific procedure of differentiated planning in distribution system is proposed, which includes identification and prediction of special loads, analysis of current status, measures of power supply for special loads, and high-standard power grid planning. The construction standard in the procedure not only depends on the voltage class but also the power supply for special loads. Then the model is established to select the subsystem components with minimum cost increment over general planning considering disaster scenario and general scenario. To solve the constrained optimization problem, genetic algorithm (GA) combined with minimum spanning tree (MST) and improved radial topology maintaining method is adopted. The case study shows the effectiveness of the proposed procedure and the model.

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Acknowledgments

The authors gratefully acknowledge the support of the National Science Foundation of China (Nos. 51307148 and 51137003). The authors also appreciate the support of Science and Technology Projects of State Grid Corporation of China (GWKJ2013-005).

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 142Issue 1March 2016

History

Received: May 20, 2014
Accepted: Dec 29, 2014
Published online: Feb 24, 2015
Discussion open until: Jul 24, 2015
Published in print: Mar 1, 2016

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Authors

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Professor, College of Electrical and Information Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Associate Professor, College of Electrical and Information Engineering, Hunan Univ., Changsha 410082, China; and College of Information Engineering, Xiangtan Univ., Xiangtan 411105, China. E-mail: [email protected]
Professor, College of Electrical and Information Engineering, Hunan Univ., Changsha 410082, China (corresponding author). E-mail: [email protected]; [email protected]
Professor, College of Electrical and Information Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]
Yongjun Zhang [email protected]
Professor, School of Electric Power, South China Univ. of Technology, Guangzhou 510640, China. E-mail: [email protected]
Baling Fang [email protected]
Ph.D. Student, College of Electrical and Information Engineering, Hunan Univ., Changsha 410082, China. E-mail: [email protected]

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