Research on Sitting Transformer Substations in Rural Areas Based on Improved Genetic Algorithm

Wei Li; Yi Huang; Fang Min Wang

doi:10.4028/www.scientific.net/AMM.490-491.1652

Paper Titles

Gait Measurement System for the Elderly Using Laser Range Sensor
p.1629

APD-Based Detection Module of Single-Photons in Chemiluminescence Immunoassay System
p.1636

The Study of Baseline Correction Method Using Energy Dispersive X-Ray Fluorescence to Detect Heavy Metals
p.1641

Research on the Whole Condition Loaded Noise Measurement Circuit of Power Capacitor
p.1647

Research on Sitting Transformer Substations in Rural Areas Based on Improved Genetic Algorithm
p.1652

A Data-Driven Method of Engine Sensor on Line Fault Diagnosis and Recovery
p.1657

Research on the Reliability of Distribution Network and its Influencing Factors
p.1661

Bearing Test Research on the Cable Anchorage Zone of the Main Girder of the Xiamen-Zhangzhou Bridge
p.1666

An Autonomous Predicted Star Locations Algorithm for Star Sensor
p.1671

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 490-491Research on Sitting Transformer Substations in...

Research on Sitting Transformer Substations in Rural Areas Based on Improved Genetic Algorithm

Abstract:

The process of urbanization, Beijing faces a number of environmental problems. Especially in the last few years, there has been constantly sustained fog and haze, which makes the implementation of electric heating in rural areas gradually on the agenda. After the implementation of electric heating, the irrationality of the regional power grid layout will be further amplified. With the rapid growth of electricity load in the planning area, the requirement of the power supply grid reliability and power quality is also increasing. Therefore, on the basis of power load forecasting in consideration of the the electric heating, and based on the particularity of rural power network, we achieve the Huairou District substation site with the use of improved genetic algorithm. The results can provide reference for the selection of substation of the whole Beijing rural area.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 490-491)

Pages:

1652-1656

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.490-491.1652

Citation:

Cite this paper

Online since:

January 2014

Authors:

Wei Li, Yi Huang*, Fang Min Wang

Keywords:

Electric Heating, Genetic Algorithm (GA), Rural Substation, Substation Locating

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wenjun Zhang, Haozhong Cheng, Zhengmin Cheng, Yin Yao, Qingli Gu. Electric power system and automation[J]. Research on distribution network optimal planning. 2008, 20(5): 17-23, 55.

Google Scholar

[2] Xianghui. The basic plan and design of medium and lower voltage power distribution network[M]. China Water Conservancy and Hydropower Press. Beijing. (2004).

Google Scholar

[3] Zhangchao Chen, Haozhong Cheng. The plan and reform of electric power network in urban areas[M]. The second edition. Beijing. China Electric Power Press. (2007).

Google Scholar

[4] Yixiong Jin, Chengmin Wang. The basis and application of electric power network.

Google Scholar