Abstract
This paper presents a Multi-Agent Parallel Computing Model (MAPCM) for solving hydrothermal scheduling in the power system. The proposed model is hierarchical with two levels—decomposition level considering real time dispatch with optimal power flow and a coordination level considering the selection method of hydro-coal transfer coefficient under different situation about water head, and active power coordination with generation ramping constraints. The model is applied to a simple case study exploring the effect of multi-agent parallel computing about hydrothermal system. The efficiency analysis shows that the model has much potential for the real-time dispatching.
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Zhang, Bh., Li, J., Li, Y., Mao, C., Ruan, Xb., Yang, J. (2009). Research on Multi-Agent Parallel Computing Model of Hydrothermal Economic Dispatch in Power System. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_129
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DOI: https://doi.org/10.1007/978-3-642-01513-7_129
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