RESEARCH PAPER
Integrated Multi-Energy Hub Optimization: A Model for Reliable, Economically Efficient, and Sustainable Energy Systems
1
School of Economics and Management, Qujing Normal University, China
2
Shandong Changzhi Construction Engineering Co., LTD, China
Submission date: 2024-10-12
Final revision date: 2024-11-26
Acceptance date: 2025-02-11
Online publication date: 2025-02-16
Publication date: 2025-02-16
Corresponding author
Jungang Wang
Shandong Changzhi Construction Engineering Co., LTD, 528 Nanfeng Road, Jinshan Town, Linzi District, Zi, 25000, Shandong, China
Shandong Changzhi Construction Engineering Co., LTD, 528 Nanfeng Road, Jinshan Town, Linzi District, Zi, 25000, Shandong, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(3):201335
HIGHLIGHTS
- Integrating renewables, CHP, P2G, and hydrogen storage in a multi-objective model.
- Addressing supply-demand uncertainties to sustainable & reliable capacity planning.
- Enhancing optimization precision, robustness, and speed with the PSO-GOA algorithm.
- Ensuring uninterrupted energy supply despite renewable energy source variability.
- Converting surplus renewables to hydrogen for use during energy-deficient periods.
KEYWORDS
Multiple energy hubsRenewable energy integrationStochastic optimizationHybrid PSO-GOA algorithmHydrogen storage systems
TOPICS
ABSTRACT
This study developed a multi-objective optimization framework for configuring independent multi-energy hubs (MEHs) that integrate electricity, heat, and hydrogen systems. The model addressed uncertainties in renewable energy sources, including wind and solar, using a hybrid particle swarm optimization (PSO) and grasshopper optimization algorithm (GOA) to achieve high levels of reliability, economic efficiency, and renewable energy utilization (REU). A robust capacity configuration strategy was designed to focus on balancing economic and environmental goals while enhancing system reliability. The integration of hydrogen storage and methanation systems minimized the curtailment of renewable energy and improved energy flexibility. The proposed approach employed stochastic optimization techniques with scenario generation and reduction to model uncertainties effectively. Advanced coordination between renewable energy sources, combined heat and power (CHP) units, and energy storage systems ensures efficient dispatch of electrical, thermal, and hydrogen energy under dynamic operating ...
FUNDING
This study was supported by these funding information:
(1) 2023 Scientific Research Fund Project of the Education Department of Yunnan Province, "Research on Strategies for Improving the moral ability of Yunnan County High School Teachers", Project No. : 2023J1012
(2.) 2021 Yunnan Philosophy and Social Science Youth Project, Exploration and Research of Yunnan Wetland Ecological Compensation Mechanism based on Water footprint, project number: QN202109
(3) 2024 Social Science Planning Project of Yunnan Province, Research on Countermeasures of Green Finance to Help Yunnan Agricultural Products Export, Project: SHZK2024314
(4) 2023 Project of Qujing Social Science Federation of Yunnan Province, Research on the mechanism of digital Finance Driving high-quality development of County economy in Yunnan Province, project number: ZSLH2023ZD01
(5) Qujing Science and Technology Innovation Joint Special Project: A Comparative study on talent incentive Policies between Yunnan and neighboring provinces (Project No. KJLH2022YB29)
(6) Scientific Research Fund Project of Education Department of Yunnan Province: Research on Talent incentive Policy in Yunnan under the Background of the Construction of South and Southeast Asia Radiation Center (Project No. 2023J1023)
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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