Optimization Scheduling Strategy of Offshore Wind Farm Power System Considering Wind Power Uncertainty

Jinhua ZHANG; Yuerong ZHU; Xuqiang LI; Liangyu LIU

doi:10.16513/j.2096-2185.DE.2106547

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Distributed Energy ›› 2021, Vol. 6 ›› Issue (5) : 33-43. DOI: 10.16513/j.2096-2185.DE.2106547

Offshore Wind Power

Optimization Scheduling Strategy of Offshore Wind Farm Power System Considering Wind Power Uncertainty

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Abstract

Since wind power is volatile and intermittent, when offshore wind turbines are connected to the grid, the power system will be shocked, resulting in frequency fluctuations and dysregulation of the grid operation control, so other generating units need to be arranged for regulation. In this paper, considering the uncertainty of offshore wind turbines, a wind-fire joint optimal scheduling model is established to study the optimal scheduling strategy of the power system with wind power as the main body. First, different Copula functions are used to fit and analyze the offshore wind farm power, and the t-Copula function is selected for wind power prediction. On this basis, a multi-objective wind-fire joint optimal scheduling model is established, the convergence speed of the crow search optimization algorithm is compared with the particle swarm optimization algorithm, and the crow search optimization algorithm is selected to optimize the analyzed data and develop a global optimal scheduling scheme. Finally, the arithmetic example verifies the effectiveness of the proposed model.

Key words

wind power uncertainty / Copula function / raven search optimization algorithm / optimal scheduling

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Jinhua ZHANG , Yuerong ZHU , Xuqiang LI , et al. Optimization Scheduling Strategy of Offshore Wind Farm Power System Considering Wind Power Uncertainty[J]. Distributed Energy Resources. 2021, 6(5): 33-43 https://doi.org/10.16513/j.2096-2185.DE.2106547

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