Research on Wind Power Optimal Dispatch Based on Model Predictive Control

Chen, Lü; Duan, Xiangying; Lu, Peng; Ye, Boyuan; Pei, Ming; Song, Xuri; Ma, Qiang; Zhao, Jinlong; Li, Zhuo

doi:10.1109/ei250167.2020.9346716

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…From the above, it can be seen that the uncertainty of wind power and the thermal inertia of thermal system can bring difficulties to the multi‐time scale dispatching of the combined heat and power system, so the existing fixed time‐scale dispatching strategy cannot guarantee the reliability of the system [23, 24]. Therefore, Li et al.…”

Section: Introductionmentioning

confidence: 99%

A time‐scale adaptive a forecasting and dispatching integration strategy of the combined heat and power system considering thermal inertia

Wang

Han

et al. 2023

IET Renewable Power Gen

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With the integration of wind, electricity and heat, the combined heat and power system has the characteristic of multi‐time scales, in which the wind power has high uncertainty, the thermal system is difficult to synchronize with the power system for the large inertia and delay. Therefore, the fixed time‐scale dispatching is unable to guarantee the reliability of the system. Given the above problems, this paper proposes a time‐scale adaptive dispatching strategy of the combined heat and power system considering thermal inertia. This strategy analyzes the time characteristics of wind power forecasting error and the thermal inertia, while later establishing time‐scale adaptive dispatching sub‐main model of combined heat and power system. Specifically, in the time‐scale adaptive method, the system available reserve model is improved due to the power support of the thermal inertia. Based on the existing fixed time‐scale dispatching, this method dynamically adjusts the steps of forecasting and the time‐scales of dispatching when the system available reserve is inadequate to compensate for the wind power forecasting error. Taking the 4‐h fixed time‐scale dispatching as an example, the simulation results suggest that the proposed strategy achieves the dynamic dispatching of the combined heat and power system, while improving its reliability and stability.

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Section: Introductionmentioning

confidence: 99%