Multi-time scale optimal scheduling model for active distribution grid with desalination loads considering uncertainty of demand response

In the context of the current development of active distribution grids, flexible loads including seawater desalination have been introduced into the distribution grid as important resources in order to improve the ability of source-grid-load interaction. This paper focuses on the seawater desalination loads, and comprehensively considers the demand response uncertainty of desalination load caused by sudden external factors such as residential water consumption and reservoir water volume on the day of the demand response, as well as the characteristic due to the errors of short-term renewable energy forecasting. Afterwards, a multi-time scale optimal scheduling model that takes into account the uncertainty of demand response is proposed, and the risk cost of demand response uncertainty is analyzed and modeled. Besides, this paper introduces the source-grid-load interaction indicator into the optimization model to quantify the interaction effect, and uses the optimization algorithm to analyze examples in order to verify the effectiveness of the model, so as to provide technical support for enhancing the participation of seawater desalination in the source-grid-load interaction of the distribution network.