Collaborative dispatch of hydro-wind-photovoltaic-hydrogen joint system based on ecological value accounting

The overall framework of HWPH. • Construct a framework integrating ecological value accounting into hydro-wind-PV-hydrogen joint system (HWPHs) dispatch. • Design a bi-level optimization model for HWPHs considering ecological constraints. • Apply NSGA-II algorithm to solve the bi-level optimization, obtaining Pareto optimal solutions. • Verify the effectiveness of the proposed framework through the Lower Jinsha River case. To achieve efficient utilization of renewable energy and address the issue of synergistic optimization between ecological benefits and economic benefits, this paper constructs an integrated framework that integrates ecological value accounting and system dispatch, and proposes a collaborative dispatch model for hydro-wind-photovoltaic-hydrogen joint system based on ecological value accounting. Firstly, for each energy entity, a respective ecological service value assessment model based on ecological flow protection or carbon emission reduction, a specific ecological footprint model using land occupation area and resource consumption as quantitative indicators, and a separate ecological carrying capacity assessment model integrating regional resources and environmental capacity are established, thereby providing a quantitative basis for the ecological constraints of each energy entity within the system. Secondly, a bi-level dispatch model for the joint system is constructed under ecological constraints, with the upper level aiming to maximize ecological benefits and the lower level focusing on maximizing power generation benefits. Finally, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is employed to solve the bi-level optimization problem, yielding the optimal Pareto solutions for the objective functions. The case study results show that, compared with the traditional weighted sum method for integrating economic and ecological objectives, the proposed framework increases the system’s comprehensive benefits by 10.83 % under short-term operation and 8.36 % under long-term operation, which is conducive to the coordinated development of low-carbon transformation and ecological protection of regional energy systems.

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Publication Details

Journal
Sustainable Energy Technologies and Assessments
Published
2025-11-20
DOI
https://doi.org/10.1016/j.seta.2025.104700
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Collaborative dispatch of hydro-wind-photovoltaic-hydrogen joint system based on ecological value accounting

Zhenjia Lin, Hong Tan, Mohamed A. Mohamed, Qiujie Wang et al.
1 citations
Sustainable Energy Technologies and Assessments
Integrated Energy Systems Optimization
0.73
article

Collaborative dispatch of hydro-wind-photovoltaic-hydrogen joint system based on ecological value accounting

Zhenjia Lin, Hong Tan, Mohamed A. Mohamed, Qiujie Wang, Siphora Uwajeneza, Kening Meng
article en
1 citations

Abstract

The overall framework of HWPH. • Construct a framework integrating ecological value accounting into hydro-wind-PV-hydrogen joint system (HWPHs) dispatch. • Design a bi-level optimization model for HWPHs considering ecological constraints. • Apply NSGA-II algorithm to solve the bi-level optimization, obtaining Pareto optimal solutions. • Verify the effectiveness of the proposed framework through the Lower Jinsha River case. To achieve efficient utilization of renewable energy and address the issue of synergistic optimization between ecological benefits and economic benefits, this paper constructs an integrated framework that integrates ecological value accounting and system dispatch, and proposes a collaborative dispatch model for hydro-wind-photovoltaic-hydrogen joint system based on ecological value accounting. Firstly, for each energy entity, a respective ecological service value assessment model based on ecological flow protection or carbon emission reduction, a specific ecological footprint model using land occupation area and resource consumption as quantitative indicators, and a separate ecological carrying capacity assessment model integrating regional resources and environmental capacity are established, thereby providing a quantitative basis for the ecological constraints of each energy entity within the system. Secondly, a bi-level dispatch model for the joint system is constructed under ecological constraints, with the upper level aiming to maximize ecological benefits and the lower level focusing on maximizing power generation benefits. Finally, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is employed to solve the bi-level optimization problem, yielding the optimal Pareto solutions for the objective functions. The case study results show that, compared with the traditional weighted sum method for integrating economic and ecological objectives, the proposed framework increases the system’s comprehensive benefits by 10.83 % under short-term operation and 8.36 % under long-term operation, which is conducive to the coordinated development of low-carbon transformation and ecological protection of regional energy systems.

Sustainable Energy Technologies and AssessmentsVol. 84
Hong Kong Polytechnic University (HK), China Three Gorges University (CN), Fuzhou University (CN), Minia University (EG)
Openalex Percentile: Top 21%
Integrated Energy Systems Optimization
0.73
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