Optimal Dispatch for Operating Reserve Considering Impact of Multi-Dimensional Prediction Information on Prediction Error

Le résumé fourni par la source

The large-scale integration of renewables has become an inevitable trend in China toward the target of “carbon peak and carbon neutrality”. Strong uncertainties of renewables will bring great challenges for the security operation of power systems. The reasonable dispatch of the operating reserve is an important way to handle the uncertainties. The stochastic dispatch method can effectively consider the uncertainties. However, this method faces computational obstacles. Therefore, the deterministic dispatch method is used in industrial practices. The key point is to properly determine the operating reserve requirement before the dispatch. However, the existing method does not consider the impact of multidimensional prediction information on the prediction error of net load. As a result, the determined operating reserve may be conservative or even insufficient. In view of the above problem, based on the deterministic dispatch framework, an optimal dispatch method for operating reserve considering the impact of multi-dimensional prediction information on prediction error is proposed in this paper. Firstly, the distribution of the system overall prediction error is estimated considering the impact of multi-dimensional prediction information, including meteorology and predicted power. Then, with the given confidence level, the operating reserve requirement is quantified. Finally, the total operating reserve requirement is allocated to each unit through the deterministic power dispatch. Case studies based on practical data validate the effectiveness of the proposed method.

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