Abstract
Timely and effective supply of power material is the basic gurantee of quickly service restoration after a disaster. Scientific and rational allocation of power material that can greatly reduce the time of recovery, increase the safty of power grid and the efficiency in handling the accident. Triangular fuzzy number is brought to simulate the the uncertainties in the emergency response activities. Based on the characteristics of demand for power material, the optimal path with time limits is determined by the guarantee rate of time for material supply. On this basis, the mathematical model of emergency power material allocation program for multi-material reserves and multi-material needs is established to achieve the goal of maximizing total transfer capability of the grid. An example proves the efficiency and validity of the approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ye, P., Du, H., Sheng, X.: Application of the Dijkstra algorithm in the best repairing path. Relay 34(12), 39–41 (2006)
Zhang, M., Xu, M., Qing, W.: Research of the Best Repair Path Based on an Improved Particle Swarm Optimization in Power Communication Network. Science Technology and Engineering 8(22), 5990–5995 (2008)
Fan, Y.: Optimal Routing through Stochastic Networks. Ph.D Dissertation. University of Southern Californian, USA (2003)
Gang, Y., Jian, Y.: On the Robust Shortest Path Problem. Computers and Operation Research 25(6), 457–568 (1998)
Zou, Z., Song, C., Guo, X.: How to Select the Optimal Emergent Logistics Route Based on Grey Theory. Logistics Technology 27(1), 46–48 (2008)
Rathi, A.K., Church, R.L., Solanki, R.S.: Allocating resources to support a multicommodity flow with time windows. Logistics and Transportation Review 28(1), 167–188 (1993)
Ozdamar, L.: Emergency logistics planning in natural disasters. Annals of Operation Research 129(1), 218–219 (2004)
He, J., Liu, C.: Fuzzy Programming Problem for Vehicle Dispatch under Time Restriction. Design and Control 3(16), 318–321 (2001)
Dai, G., Da, Q.: The Study of Combinatorial Scheduling Problem in Emergency Systems. Systems Engineering Theory and Practice 12(9), 52–55 (2009)
He, J., Liu, C.: Emergency management and emergency system. publishing (2005)
Chen, D., Xiao, J., Wang, C.: A Fahp-Based Madam Method In Urban Power System Planning. Proceedings of the CSU-EPSA 15(4), 83–88 (2003)
Liu, S., Jiang, C., Hou, Z.: Optimal Power Flow Based Total Transfer Capability Calculation. Journal Of Shanghai Jiaotong Unversity 38(8), 1233–1237 (2004)
Liu, H., Li, Y., Chen, X.: Availiable Transfer Capability Calculation Based on Continual Power Flow for Transmission Network. Electric Power Automation Equipment 23(12), 5–8 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xiaofeng, X., Xiaoming, G., Junyong, L. (2011). Research on Emergency Power Material Allocation Program. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-23235-0_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23234-3
Online ISBN: 978-3-642-23235-0
eBook Packages: Computer ScienceComputer Science (R0)