skip to main content
10.1145/3482632.3487533acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiciscaeConference Proceedingsconference-collections
research-article

Research on Regional renewable sources planning Model Based on Improved Ant Colony Algorithm

Published: 22 November 2021 Publication History

Abstract

Renewable sources planning is a planning method that considers the integration of renewable energy and buildings from the regional level, and matches and coordinates with energy demand, traditional energy supply system and different renewable energy sources. It is an important means to realize the microcirculation of regional energy system and is of great significance to realize the construction of low-carbon eco-city. Compared with the world advanced level, the unit energy consumption of China's major energy-consuming products is also very large. Therefore, developing new technologies and improving energy efficiency in China is one of the important ways to achieve energy conservation and consumption reduction. This paper introduces the connotation and planning methods of regional renewable sources planning, focusing on the evaluation of renewable sources, the prediction of regional building energy consumption, the matching method of energy demand and renewable resources, the feedback evaluation method of renewable sources planning and the safeguard measures for planning implementation. Considering that the optimization problem has obvious nonlinear and structural characteristics, ant colony algorithm is chosen to calculate the optimization results.

References

[1]
Zhao Wenhui, Li Ruan, Fu Qiang. Research on Renewable Energy Project Planning under Energy Internet. Power Grid and Clean Energy, vol. 34, no. 2, pp. 142-148+156, 2018.
[2]
Luo Shuxiang, Zhao Peng, Niu Yantao, Research on calculation model of regional renewable energy grid planning based on GIS. Building Technology, vol. 49, no. 4, pp. 352-355, 2018.
[3]
Xu Tanghai, Lu Zongxiang, Qiao Ying, High-proportion renewable energy power planning with multiple types of flexible resource coordination between source, load and storage. Global Energy Internet, vol. 2, no. 1, pp. 33-40, 2019.
[4]
Yang Yi, Zhang Linqiang, Sun Ke, Research on Regional Development Policy of Renewable Energy in France. High Voltage Electrical Apparatus, vol. 367, no. 10, pp. 247-252, 2019.
[5]
Xiao Jun, Zhang Baoqiang, Li Jingru, Research ideas for high-permeability renewable energy distribution system planning based on safety boundaries. Power System Automation, vol. 41, no. 9, pp. 28-35, 2017.
[6]
Han Cangqiong, Cao Jianye. Italy's renewable energy strategic planning and development status. Global Science and Technology Economic Outlook, vol. 32, no. 6, pp. 14-18, 2017.
[7]
Ji Ping, Wu Shouyuan, Zhou Xiaoxin. Determination of regional renewable sources planning schemes for municipal power grids including wind power generation and research on the impact of important factors. Power System Technology, vol. 37, no. 2, pp. 334-341, 2013.
[8]
Dong Wenjie. Planning model for coordinated expansion of power generation, transmission and storage power system for grid connection of renewable energy. Smart Power, vol. 42, no. 9, pp. 24-27, 2014.
[9]
Lv Chunquan, Tian Kuo, Wei Yang. Multi-stage power supply and grid coordination planning model considering renewable energy grid connection. East China Electric Power, vol. 41, no. 9, pp. 1814-1820, 2013.
[10]
Zhang Tao, Liu Shusen, Wang Chuang, Regional multi-energy grid renewable energy generation capacity planning and investment income optimization model. Renewable Energy, vol. 38, no. 5, pp. 705-710, 2020.
[11]
Wang Huaibin, Peng Xue, Zhou Shiyuan, Dynamic hierarchical ant colony algorithm planning strategy for robot navigation path. Machine Design and Manufacturing, vol. 352, no. 6, pp. 102-106, 2020.
[12]
Liu Jingbo, Wang Miao, Xia Jingbo, Planning model of renewable energy active power distribution system based on time-varying communication topology. Renewable Energy, vol. 37, no. 12, pp. 1850-1855, 2019.
[13]
hou Pengfei, Geng Jin. Research on the optimization of the development and utilization structure of renewable energy in coastal areas. Renewable Energy, vol. 33, no. 6, pp. 807-813, 2015.
[14]
Gao Jiawen, Chen Lei, He Jiaxing, Optimal planning of clean heating with surplus renewable energy. Power grid technology, vol. 43, no. 2, pp. 307-314, 2019.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 November 2021

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICISCAE 2021

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 20
    Total Downloads
  • Downloads (Last 12 months)4
  • Downloads (Last 6 weeks)1
Reflects downloads up to 11 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media