Intelligent scheduling optimisation strategy for comprehensive energy systems
In order to improve the output of integrated energy system and reduce the high-operation cost, a coordinated optimal scheduling method based on improved genetic algorithm was proposed. Aiming at the problems of poor output and high operating cost after the application of existing energy system scheduling methods, an integrated coordinated optimal scheduling method based on improved genetic algorithm is proposed. Firstly, the structure of the integrated energy system is analysed, and then the output of wind turbine, incentive demand response, gas turbine, etc., are analysed, and the output model of the integrated energy system is built. Finally, the optimal scheduling model of the energy system is established, and the improved genetic algorithm is used to solve it, and the optimal scheduling of the integrated energy system is realised. The experimental results show that the system output is the best, the operation cost is the lowest, and it can meet the operation requirements of the integrated energy system.
Authors
- Hongwei Dong (ORCID: https://orcid.org/0000-0003-2088-829X)
- Tao Han
- Kun Yan
- Jin Zhu
Institutions
- Chinese Academy of Sciences (CN)
- Institute of Electrical Engineering (CN)
Publication Details
- Journal
- International Journal of Global Energy Issues
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijgei.2025.147239
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00