Research on optimal scheduling of integrated energy system based on improved multi-objective artificial hummingbird algorithm DOI Creative Commons

Liming Wei,

F.-S. Zhang

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(6), P. e0325310 - e0325310

Published: June 4, 2025

To accelerate energy efficiency improvement and green transition in industrial parks while addressing utilization carbon reduction requirements, this study proposes a low-carbon economic dispatch model for integrated systems (IES) based on an enhanced multi-objective artificial hummingbird algorithm (MOAHA). The main contributions are threefold: First, we establish optimized incorporating combined cooling, heating power (CCHP) systems, refined two-stage power-to-gas (P2G) conversion process, capture technologies. Second, stepwise trading mechanism is introduced to further reduce emissions from the IES. Third, multi-strategy MOAHA developed through three key improvements: 1) Logistic-sine fused chaotic mapping population initialization enhance distribution uniformity solution quality; 2) Elite opposition-based learning adaptive spiral migration foraging mechanisms optimize individual positions diversity; 3) Simplex method integration strengthen local search capabilities optimization precision. Comprehensive case studies demonstrate model’s effectiveness, achieving 82.9% 17.3% decrease operational costs compared conventional approaches. proposed framework provides technically viable sustainable management parks, effectively balancing environmental objectives.

Language: Английский

Two-layer multi-timescale rolling optimization of electric-hydrogen hybrid energy storage systems considering renewable energy uncertainties DOI

Meijia Wei,

Jian Chen, Wen Zhang

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 305 - 317

Published: Feb. 3, 2025

Language: Английский

Citations

1

Framework design and empirical analysis of intelligent scheduling system for high-altitude photovoltaic power generation based on mixed optimization of long-nosed raccoon optimization algorithm and black winged kite optimization algorithm (COA-BKA) DOI Creative Commons

Heng Hu,

Xiaoming Xiong, Shuang Wang

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 28(1)

Published: April 25, 2025

Language: Английский

Citations

0

Coordinated Integration of Hydrogen-Enabled Multi-Energy Systems to Achieve Zero-Carbon Buildings DOI
Jinhui Liu,

Yanling Zhao,

Zhanbo Xu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Two-stage optimal dispatch of a virtual power plant considering electricity storage and carbon emissions DOI
Lingling Li, Tianyu Wen,

Bing-Xiang Ji

et al.

International Journal of Green Energy, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: May 8, 2025

Language: Английский

Citations

0

A multi-scenario-based planning optimization method for rural integrated energy system including PVT-electrothermal hybrid energy storage DOI
Yongli Wang, Lu Guo,

Sichong Jiang

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: 275, P. 126896 - 126896

Published: May 19, 2025

Language: Английский

Citations

0

Optimal Dispatch Strategy for Grand Base Wind-Solar-Energy Storage Systems Using Machine Learning and Goal Programming DOI

Sile Hu,

Xiaofeng Xu,

Dunnan Liu

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123623 - 123623

Published: May 1, 2025

Language: Английский

Citations

0

Research on optimal scheduling of integrated energy system based on improved multi-objective artificial hummingbird algorithm DOI Creative Commons

Liming Wei,

F.-S. Zhang

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(6), P. e0325310 - e0325310

Published: June 4, 2025

To accelerate energy efficiency improvement and green transition in industrial parks while addressing utilization carbon reduction requirements, this study proposes a low-carbon economic dispatch model for integrated systems (IES) based on an enhanced multi-objective artificial hummingbird algorithm (MOAHA). The main contributions are threefold: First, we establish optimized incorporating combined cooling, heating power (CCHP) systems, refined two-stage power-to-gas (P2G) conversion process, capture technologies. Second, stepwise trading mechanism is introduced to further reduce emissions from the IES. Third, multi-strategy MOAHA developed through three key improvements: 1) Logistic-sine fused chaotic mapping population initialization enhance distribution uniformity solution quality; 2) Elite opposition-based learning adaptive spiral migration foraging mechanisms optimize individual positions diversity; 3) Simplex method integration strengthen local search capabilities optimization precision. Comprehensive case studies demonstrate model’s effectiveness, achieving 82.9% 17.3% decrease operational costs compared conventional approaches. proposed framework provides technically viable sustainable management parks, effectively balancing environmental objectives.

Language: Английский

Citations

0