A Multi-Objective Optimal Scheduling Method for Integrated Energy Systems Taking into Account the Efficiency of the Energy System
The Integrated Energy System (IES), as an important part of the new power system, has a greater potential for energy saving and emission reduction, improved energy utilization and system resilience, etc. The development of IES the “quantity and quality” synergistic characteristics has become imperative, and how to make IES simultaneously low-carbon, efficient and economical has become one of the key optimization issues. The development of IES with “quantity and quality” synergistic characteristics has become imperative, and how to make IES have the advantages of low carbon, high efficiency and economy at the same time has also become one of the key optimization problems. Aiming at the above problems, this paper proposes a single-objective, multi-objective function optimization scheduling method for IES taking into account the efficiency of IES, which is solved by the step-by-step method and its improvement method. Firstly, four single-objective function operation scenarios are used as comparisons in the example analysis, and the results show that: The objective functions lacked significant correlation with each other and were largely in conflict with each other, but the reconstructed multi-objective function compromises the advantages of multiple objectives, which facilitates the synergistic operation of IESs in terms of quality and quantity, and the solution time of the proposed solution method has been reduced by 90.22 % compared with that of the traversing weights method.
Authors
- Yu Xin Zhang (ORCID: https://orcid.org/0000-0001-6118-1720)
- Song Han (ORCID: https://orcid.org/0000-0002-3951-8005)
- Xue Zhang (ORCID: https://orcid.org/0000-0002-0892-3665)
- Zhen Li (ORCID: https://orcid.org/0000-0001-6959-7608)
- Na Rong
- Shuaidong Liu
Institutions
- Guizhou University (CN)
- Guizhou Electric Power Design and Research Institute (CN)
Publication Details
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1109/acpee64358.2025.11041298
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00