Improved particle swarm-based multi-objective optimal scheduling method for main network

Yanyu Chen

doi:10.1117/12.3004541

25 September 2023 Improved particle swarm-based multi-objective optimal scheduling method for main network

Yanyu Chen

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885X (2023) https://doi.org/10.1117/12.3004541
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

The current traditional particle swarm algorithm realizes the optimal scheduling of the main network by constructing a multi-objective model based on economic cost, environmental cost and power fluctuation, which leads to poor scheduling results because the traditional algorithm is easy to fall into local optimum. In this regard, an improved particle swarm-based multi-objective optimal scheduling method for the main network is proposed. The multi-objective optimal scheduling model is constructed with the generation cost and environmental benefits as the objective functions, and the improved particle swarm algorithm is used to solve the model. In the experiment, the proposed algorithm is verified for the dispatching effect. The analysis of the experimental results shows that the optimal dispatching model constructed by the proposed method has a good convergence of the algorithm and has a high optimal dispatching performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanyu Chen "Improved particle swarm-based multi-objective optimal scheduling method for main network", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885X (25 September 2023); https://doi.org/10.1117/12.3004541

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