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 2021Publication 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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar
  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.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • 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

    Copyright © 2021 ACM

    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 about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited
  • Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format