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