A low‐carbon economic dispatch model for electricity market with wind power based on improved ant‐lion optimisation algorithm-Reference-Cited by-同舟云学术

A low‐carbon economic dispatch model for electricity market with wind power based on improved ant‐lion optimisation algorithm

Published:2022-09-29 Issue:1 Volume:8 Page:29-39
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Trans on Intel Tech

Author:

Yan Renwu¹^ORCID,Lin Yihan¹,Yu Ning²,Wu Yi³

Affiliation:

1. School of Electronic, Electrical Engineering and Physics Fujian University of Technology Fuzhou China

2. Department of Computing Sciences College at Brockport State University of New York Brockport New York USA

3. Department of Human Resource Fuzhou Technology and Business University Fuzhou China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12138

Reference27 articles.

1. A review of research on related measurement methods of carbon dioxide emissions in China;Liu X.;Ecol. Econ.,2017

2. Typical calculation and analysis of carbon emissions from coal‐fired power plants;Gai Z.;China Electr. Power,2017

3. Power system source‐load coordinated low‐carbon optimal dispatch based on carbon emission flow theory;Chen H.;Power Syst. Protect. Control,2021

4. Considering the uncertain and correlation of wind power economic dispatch of multi‐regional power grids based on brooch;Li Y.;Electric Power Autom. Equip.,2021

5. Consider the best abandonment. Optimizing economic dispatch of wind, solar, fire and storage system based on energy efficiency;Ye Ze;Power Syst. Technol.,2021

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mechanical Property Prediction in Silica Fume and Crumb Rubber–Modified Concrete: Soft Computing and Experimental Approach;Practice Periodical on Structural Design and Construction;2024-11

2. Extraction of typical operating scenarios of new power system based on deep time series aggregation;CAAI Transactions on Intelligence Technology;2024-08-22

3. Development of laboratory-cooked, water-resistant, and high-performance Cu-MOF: an economic analysis of Cu-MOF for PFOS pollution management and remediation;Applied Water Science;2024-08-13

4. Optimum identification of aquifer parameter zone structures using the SHuffled Ant Lion Optimization approach considering general form of the Voronoi tessellation;Journal of Hydrology;2024-08

5. Utilizing triethylenetetramine-functionalized MIP-206 for highly efficient removal of Pb(II) from wastewater;Scientific Reports;2024-07-06