Paper Title:
Transmission Network Expansion Planning under Improved Genetic Algorithm
  Abstract

Improved genetic algorithm for solving the transmission network expansion planning is presented in the paper. The module which considered the investment costs of new transmission facilities. It is a large integer linear optimization problem. In this work we present improved genetic algorithm to find the solution of excellent quality. This method adopts integer parameter encoded style and has nonlinear crossover and mutation operators, owns strong global search capability. Tests are carried out using a Brazilian Southern System and the results show the good performance.

  Info
Periodical
Advanced Materials Research (Volumes 347-353)
Chapter
Chapter 1: Development and Utilization of Solar Energy
Edited by
Weiguo Pan, Jianxing Ren and Yongguang Li
Pages
1458-1461
DOI
10.4028/www.scientific.net/AMR.347-353.1458
Citation
H. Fan, Y. X. Jin, "Transmission Network Expansion Planning under Improved Genetic Algorithm", Advanced Materials Research, Vols. 347-353, pp. 1458-1461, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Guang Nian Yang, Wei Qi, Jun Zhou
Abstract:Now, our sewage treatment industry mainly depends on the blower of aeration act as metabolic, absorbed in the toxic substances. Blower...
591
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502
Authors: Sun Xin Wang, Yan Li, Yan Rong Zhang
Chapter 15: Economics, Marketing and Engineering Management
Abstract:In this paper a hybrid algorithm named IPSO-VND is proposed and applied to solving the vehicle routing problem with simultaneous pickup and...
2326