Two-stage planning of integrated energy systems under copula models informed cascading extreme weather uncertainty DOI

Longxiang Chen,

Zhengzhao Luo, Rui Jing

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 124990 - 124990

Published: Nov. 30, 2024

Language: Английский

Cooperative model predictive control for avoiding critical instants of energy resilience in networked microgrids DOI
Antonio Enrique Gonzalez-Reina, Félix García-Torres,

Victor Girona-Garcia

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 369, P. 123564 - 123564

Published: June 5, 2024

Language: Английский

Citations

4
The role of co-optimization in trading off cost and frequency regulation service for industrial microgrids DOI
Chenghao Lyu, Weiquan Wang, Junyue Wang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 375, P. 124131 - 124131

Published: Aug. 8, 2024

Language: Английский

Citations

4
Impact of extreme weather on the reliability of building distributed energy systems–A case study in three cities in China DOI

Huizhen Han,

Yongkai Ge,

Qingrui Wang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115374 - 115374

Published: Jan. 29, 2025

Language: Английский

Citations

0
Cybersecurity in microgrids: A review on advanced techniques and practical implementation of resilient energy systems DOI Creative Commons
Ijaz Ahmed, Ali M. El‐Rifaie,

F. Akhtar

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101654 - 101654

Published: Feb. 5, 2025

Language: Английский

Citations

0
Achieving energy resilience: Studying renewable and fossil fuel energy generation drivers and COPE-28 pathways of China DOI Creative Commons

Shengmiao Han,

Badrul Hisham Kamaruddin,

Xing Shi

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101669 - 101669

Published: March 1, 2025

Language: Английский

Citations

0
Edge–Cloud Collaborative Optimization Scheduling of an Industrial Park Integrated Energy System DOI Open Access

G. Z. Liu,

Xinfu Song,

Chaoshan Xin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1908 - 1908

Published: Feb. 26, 2024

Due to the large proportion of China’s energy consumption used by industry, in response national strategic goal “carbon peak and carbon neutrality” put forward Chinese government, it is urgent improve efficiency industrial field. This paper focuses on optimization an integrated system with supply–demand coordination park. formulated as a “node-flow” model. Within model, each node designed according objective function its own operation coupling relationship. The flow model based interaction relationship between node. Based edge–cloud information mechanism transfer balance nodes proposed describe way interacts information, distributed iterative algorithm collaboration realize decision performance method this demonstrated using practical case study park Xinjiang. results show that can effectively utilization multi-energy synergy complementation park, shorten solution time more than 50% without significantly affecting accuracy solution.

Language: Английский

Citations

3
Two-stage planning of integrated energy systems under copula models informed cascading extreme weather uncertainty DOI

Longxiang Chen,

Zhengzhao Luo, Rui Jing

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 124990 - 124990

Published: Nov. 30, 2024

Language: Английский

Citations

0