Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
---|---|---|
Article Number | 05026 | |
Number of page(s) | 5 | |
Section | Computer Science and System Design | |
DOI | https://doi.org/10.1051/matecconf/202133605026 | |
Published online | 15 February 2021 |
Research on compound comprehensive energy evaluation and intelligent control optimization
1 Electric Power Research Institute State Grid Hebei Electric Power Co., Ltd., 050000 Shijiazhuang, China
2 State Grid Xiong’an Digital Technology Co., Ltd, 05000 Shijiazhuang, China
3 School of Electronic and Control Engineering, North China Institute of Aerospace Engineering 065000 Langfang, China
* Corresponding author: 17692149858 @139.com
Under the background of increasing energy demand, integrated energy system is an important way to promote the development of clean energy, support the efficient use of energy and energy saving and emission reduction. This paper firstly establishes a comprehensive energy system evaluation index model composed of three sub-models of economy, environment and energy. On the basis of this model, a comprehensive energy multi-objective optimization mathematical model with the lowest total cost, excellent environmental benefits and high comprehensive energy utilization efficiency is established, and the energy supply and demand allocation optimization method based on improved genetic algorithm is adopted for solution. The simulation proves the effectiveness of the proposed optimization model.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.