Optimization of Off-Grid Regional Integrated Energy Systems: Multi-Energy Scheduling with Power-to-Hydrogen, Storage, and Tiered Carbon Emission Costs

In off-grid mode, Regional Integrated Energy Systems (RIES) require efficient scheduling to address the intermittency of renewable energy and the demand for multiple energy carriers, while achieving carbon emission reduction. This paper proposes a multi-energy scheduling framework that integrates Power-to-Hydrogen (P2H), battery energy storage, and Combined Heat and Power (CHP), and introduces a tiered carbon pricing mechanism to promote low-carbon operation. The study analyzes a series of progressively optimized scenarios, illustrating the transition from a basic configuration to enhanced dispatch with energy storage and $\mathbf{P 2 H}$, and further to carbon-cost-driven optimization. The results demonstrate that comprehensive optimization significantly reduces total costs, wind curtailment, and carbon emissions, highlighting the synergistic benefits of multi-energy coordination. This research provides important guidance for the sustainable design of off-grid integrated energy systems.

Authors

Institutions

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccepe66357.2025.11193158
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Off-Grid Regional Integrated Energy Systems: Multi-Energy Scheduling with Power-to-Hydrogen, Storage, and Tiered Carbon Emission Costs

Zhengyin Zhu, Jian Peng, Shaowei Yuan, Zhen Li et al.
Integrated Energy Systems Optimization
article

Optimization of Off-Grid Regional Integrated Energy Systems: Multi-Energy Scheduling with Power-to-Hydrogen, Storage, and Tiered Carbon Emission Costs

Zhengyin Zhu, Jian Peng, Shaowei Yuan, Zhen Li, Yuxiang Li, Bei Zhang, Jianmin Hu, K. S. Liang
article en

Abstract

In off-grid mode, Regional Integrated Energy Systems (RIES) require efficient scheduling to address the intermittency of renewable energy and the demand for multiple energy carriers, while achieving carbon emission reduction. This paper proposes a multi-energy scheduling framework that integrates Power-to-Hydrogen (P2H), battery energy storage, and Combined Heat and Power (CHP), and introduces a tiered carbon pricing mechanism to promote low-carbon operation. The study analyzes a series of progressively optimized scenarios, illustrating the transition from a basic configuration to enhanced dispatch with energy storage and $\mathbf{P 2 H}$, and further to carbon-cost-driven optimization. The results demonstrate that comprehensive optimization significantly reduces total costs, wind curtailment, and carbon emissions, highlighting the synergistic benefits of multi-energy coordination. This research provides important guidance for the sustainable design of off-grid integrated energy systems.

Inner Mongolia Electric Power (China) (CN), Xinjiang New Energy Research Institute (China) (CN)
Openalex Percentile: Top 71%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.