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- W4387011611 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." @default.
- W4387011611 created "2023-09-26" @default.
- W4387011611 creator A5019623495 @default.
- W4387011611 date "2023-09-25" @default.
- W4387011611 modified "2023-09-26" @default.
- W4387011611 title "Improved particle swarm-based multi-objective optimal scheduling method for main network" @default.
- W4387011611 doi "https://doi.org/10.1117/12.3004541" @default.
- W4387011611 hasPublicationYear "2023" @default.
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