Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11542
Title: Stochastic optimal dispatch of power system under extreme weather disaster
Authors: Zhang, Y
Yang, H
Dong, Z
Lai, M
Keywords: Differential evolution algorithms
Extreme weather disaster
Stochastic optimal dispatch
Issue Date: 2010
Publisher: Scientific.Net
Source: Applied mechanics and materials, 2010, v. 37-38, p. 1219-1222 How to cite?
Journal: Applied mechanics and materials 
Abstract: Several large scale failures of power system took place due to extreme weather disaster recent years, which aroused the consideration of power network security operation. Considering that the line failure events caused by natural disaster presented random characteristic, using Poisson distribution theory to depict the probability of line failure, a stochastic power system optimal dispatch model based on chance constraints theory was also proposed. We adopted the Differential Evolution algorithm to calculate the total loss based on Monte-Carlo simulation. The results of IEEE 9-bus case study imply that the dispatch model will give full consideration of weather effects, and provide a more reasonable dispatch plan for power system disaster prevention and reduction.
Description: International Conference on Engineering Design and Optimization, ICEDO 2010, Ningbo, 28-30 October 2010
URI: http://hdl.handle.net/10397/11542
ISBN: 9780878492220
ISSN: 1660-9336 (print)
DOI: 10.4028/www.scientific.net/AMM.37-38.1219
Appears in Collections:Conference Paper

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