Optimization of energy storage material properties in renewable energy systems based on big data analysis
DOI:
https://doi.org/10.54097/z7axhh40Keywords:
Big data; renewable energy; energy storage; performance optimisation.Abstract
In recent years, the overall scale of distributed renewable energy projects has been rising, which makes the distributed energy development symbiosis system even larger. The number of sectors involved in the system has gradually increased, while the connection between the subsystems has become increasingly close. At the same time, the optimization of energy storage materials in the symbiotic system of distributed renewable energy projects under the integration of resources and demand has broadened the scope of traditional energy market technologies. Therefore, this paper takes the distributed renewable energy symbiosis system as the research object, and analyzes in depth the research of optimizing the performance of energy storage materials in the distributed renewable energy system to provide decision support for the regional distributed renewable energy industry planning.
Downloads
References
Research on energy management system for energy internet[J]. Zhang Tao;Zhang Fuxing;Zhang Yan. Grid Technology, 2016(01).
Research on information and communication technology supporting global energy internet[J]. Lin Weimin;Yu Yong;Liang Yun;Han Haiyun. Smart Grid,2015(12).
Exploration of energy internet concept, key technology and development mode[J]. Ma Zhao;Zhou Xiaoxin;Shang Yuwei;Sheng Wanxing. Grid Technology,2015(11).
Internet of energy: Driving force, review and outlook[J]. SUN Hongbin;GUO Qinglai;PAN Zhaoguang;WANG Jianhui. Grid Technology,2015(11).
Summary of Germany's energy internet project and its inspiration to China[J]. YIN Chenhui;YANG Dechang;GENG Guangfei;FAN Zheng. Grid Technology,2015(11).
Internet of Energy: Concept, Architecture and Frontier Outlook[J]. SUN Hongbin;GUO Qinglai;PAN Zhaoguang. Power System Automation,2015(19).
Optimal control framework and implementation of narrow energy internet[J]. Sun Qiuye;Wang Bingyu;Huang Bonan;Ma Dazhong. Chinese Journal of Electrical Engineering,2015(18).
Robust optimisation-based economic dispatch model for industrial microgrids containing wind power[J]. Ding Hao;Gao Feng;Liu Kun;Guan Xiaohong;Wu Jiang. Power System Automation,2015(17).
Research on the value and realisation architecture of energy internet[J]. YANG Fang;BAI CuiFan;ZHANG Yibin. Chinese Journal of Electrical Engineering,2015(14).
Research on optimal energy management of home energy LAN based on model predictive control[J]. Zhang Yan;Zhang Tao;Liu Yajie;Guo Bo. Chinese Journal of Electrical Engineering,2015(14).
Cooperative game-based strategies for clean energy-containing generators to participate in spot market bidding and revenue distribution[J]. LU Chengyu; JIANG Ting; DENG Hui; FANG Le; WANG Xu; JIANG Chuanwen. Electric Power Construction,2020(12).
Research on topology and data modelling technology of low-voltage distribution network based on multi-intelligent body sharing information[J]. LI Cheng; CHEN Hao; LIU Chou; LU Yujun; GE Yonggao; WANG Ning. Electronic Measurement Technology,2020(12).
Design of optimal scheduling system for smart microgrid energy management system[J]. An Lifang. Water Resources Planning and Design,2020(06).
Optimal scheduling of multiple microgrids with two layers considering interactive power control and bilateral bidding and trading[J]. HE Lijun;CHENG Sun;CHEN Ziming. Power System Protection and Control,2020(11).
A blockchain-based market potential game model for microgrids[J]. ZHOU Buxiang;YANG Mingtong;SHI Shuqing;WEI Jinxiao;LI Zugang;DONG Shen. Power System Automation,2020(07).
Trend prediction method of power grid dynamic trajectory based on long and short-term memory network[J]. YANG Shaobo;LIU Daowei;AN Jun;LI Zonghan;YANG Hongying;ZHAO Gaoshang. Chinese Journal of Electrical Engineering,2020(09).
Study on stochastic unit combination model and economic dispatch optimisation based on supply-demand two-side interaction[J]. YAN Bofeng;PAN Ting;LI Jingli;GAN Jiatian;ZENG Ming;CHEN Weicheng. Electrical Measurement and Instrumentation,2020(05).
Optimal allocation of energy storage for microgrids taking into account whole-life costs and benefits[J]. LI Tao; XU Yuan; CHEN Jian; WANG Ke. Journal of Power System and Automation, 2020(03).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







