scholarly journals Bayesian framework for power network planning under uncertainty

2016 ◽  
Vol 7 ◽  
pp. 47-57 ◽  
Author(s):  
A. Lawson ◽  
M. Goldstein ◽  
C.J. Dent
2013 ◽  
Vol 448-453 ◽  
pp. 2636-2641
Author(s):  
Hai Long Bao ◽  
Chen Fang ◽  
Jian Lin Yang ◽  
Qiang Yin

As the urbanization of cities is rapidly developing in China, metropolitan regions establish the clustered power network planning scheme on the background of the clustered city planning of the adjacent areas. Base on the functional orientation and difference of clusters, as well as the theory of hierarchical clustered city planning, the article puts forward the power network planning thoughts and methods. As cluster becomes a planning unit, the load density method is applied in the differential load forecast and the location of substations as well as the path of transmission lines is selected with the thoughts of separation according to different layers and areas. And then, the results will be compared and verified with the planning scheme of the other clustered cities which have the similar function orientation and planning strategy. Finally, the planning methods will be standardized. The application in the power network of Cluster of Livable Education City in Zhengzhou has proved that the methods and steps of the power planning method proposed is able to meet the demand of the network development under the situation of the rapid growth of load.


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