Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

Integrated Approach to Power Distribution Loss Based on Improved Genetic Algorithm

Authors
Chen Li, Yunsi Huang, Anjia Mao, Yu Zhang, Peng Wu
Corresponding Author
Chen Li
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.25How to use a DOI?
Keywords
distribution network reconstruction; transformer economy operation; improved genetic algorithm
Abstract

Profit space of power grid enterprises is being compressed under the background of continuous improvement of power system reform in China. At the same time, due to environmental and climate issues, the state strongly advocates energy conservation and emission reduction, all of which makes the grid enterprises pay more attention to the loss of power grid than before. In this paper, in the case of no additional investment, we use the existing distribution network equipment, a comprehensive quantitative distribution network, network reconfiguration and reactive power compensation for transformer economic operation on the influence of network loss. In this paper, a mathematical model of power loss reduction is established based on the minimum power dissipation. To improve the mutation rate and cross rate to improve the genetic algorithm, using the algorithm to solve the model, the algorithm's search performance has been improved considerably.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
10.2991/cmsa-18.2018.25
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.25How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chen Li
AU  - Yunsi Huang
AU  - Anjia Mao
AU  - Yu Zhang
AU  - Peng Wu
PY  - 2018/04
DA  - 2018/04
TI  - Integrated Approach to Power Distribution Loss Based on Improved Genetic Algorithm
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 106
EP  - 109
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.25
DO  - 10.2991/cmsa-18.2018.25
ID  - Li2018/04
ER  -