Substation Locating and Sizing in Distribution Network Based on Geographic Information

2013 ◽  
Vol 391 ◽  
pp. 619-623
Author(s):  
Zhen Wang ◽  
Si Qing Sheng ◽  
Qing Jie Zhou
Keyword(s):  
Differential Evolution ◽  
Factor Model ◽  
Distribution Network ◽  
Differential Evolution Algorithm ◽  
Geographic Information ◽  
Order Preference ◽  
Evolution Algorithm ◽  
Set Up ◽  
Improved Technique ◽  
The Cost

For substation locating and sizing in the distribution network, the cost of land and geographic information should be considered. A new algorithm based on cultural differential evolution algorithm (CDEA) considering geographic information factor is presented. Based on the improved technique for order preference by similarity to ideal solution (ITOPSIS), geographic information factor model is set up. CDEA is proposed by designing three kinds of knowledge in belief space to guide evolution. The new algorithm overcomes the premature phenomenon of differential evolution algorithm and improves significantly ability of global optimization. Finally the case proves that the proposed model and method is correct, having certain practical value.

scholarly journals Dispatching a 19-Unit Indian Utility System Using a Refined Differential Evolution Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
J. Jasper ◽  
T. Aruldoss Albert Victoire
Keyword(s):  
Differential Evolution ◽  
Operating Cost ◽  
Differential Evolution Algorithm ◽  
New Mutation ◽  
Time Period ◽  
Utility System ◽  
Evolution Algorithm ◽  
Neighborhood Topology ◽  
The Cost ◽  
Dynamic Economic Dispatch

This paper presents a differential evolution with neighborhood based mutation (DE-NM) technique to solve Dynamic Economic Dispatch (DED) problem with valve point effects and multiple fuel options. A new mutation scheme based on neighborhood topology is presented with an aim to achieve the cost reduction together satisfying the dynamic behavior of the generating units over the considered time period. The neighborhood based mutation (NM) balances the exploration and exploitation of the search effort of differential evolution (DE) technique. The NM method enhances the convergence speed and the performance of the DE technique. The performance of the DE-NM is tested on a 10-unit and a real public Indian utility system with 19 generating units. Both the test systems are illustrated under different load patterns. The dispatch results obtained using the proposed method for the Indian system have considerably reduced the operating cost and optimized its operation.

Intelligent Machine Body Repeater Communication Model

2014 ◽  
Vol 971-973 ◽  
pp. 1230-1233
Author(s):  
Xue Zhi Mo
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Communication Model ◽  
Simulation Process ◽  
Intelligent Robots ◽  
Communication Method ◽  
Evolution Algorithm ◽  
Cover Problem ◽  
Set Up ◽  
External Communications

as in the outside work, the intelligent robots cannot get external communications support, the model can set up their own relay communication method, even if there was a limit for the communication range for individual communications, and use of differential evolution algorithm and optimization process was carried out, then the method turn it into the nodes cover problem and use the platform tools for simulation process, its coverage efficiency is shown as 90% or more in a given map, which can obtain some practice value.

Sign in / Sign up

Export Citation Format

Share Document