Optimal scheduling of microgrids based on multi-objective improved grey wolf optimization algorithm
The development of an optimal scheduling strategy is crucial for microgrid systems, which can ensure the cost-effectiveness of the system. For this reason, this paper proposes a microgrid optimal scheduling strategy based on the multi-objective improved grey wolf algorithm, to further improve the co...
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| Veröffentlicht in: | 2024 4th International Conference on Electronics, Circuits and Information Engineering (ECIE) S. 263 - 268 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
24.05.2024
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| Schlagworte: | |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | The development of an optimal scheduling strategy is crucial for microgrid systems, which can ensure the cost-effectiveness of the system. For this reason, this paper proposes a microgrid optimal scheduling strategy based on the multi-objective improved grey wolf algorithm, to further improve the comprehensive benefits of microgrid optimal scheduling. First, on the traditional microgrid model containing multiple distributed power sources, a comprehensive optimal scheduling model is constructed by considering the environmental benefits and combining the demand-side load profile and time-sharing tariff. Then, the objective function for maximizing the comprehensive benefits is designed and solved by using the multi-objective grey wolf algorithm based on multi-objective co-optimization for optimal scheduling. Finally, the effectiveness of the method proposed in this paper is verified by simulation analysis and comparison of actual examples. |
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| DOI: | 10.1109/ECIE61885.2024.10626695 |