A Review of Research on Source-Load Operation Scenarios and Optimal Scheduling Considering Load Characteristics

As large-scale new energy sources are connected to the grid, the randomness of their power output has caused fluctuations and disorders in the operation and dispatch of the power system, while the complex power consumption characteristics of the load side have posed a great challenge to the optimal dispatch of the power system. Based on domestic and international research on the analysis of load measurement demand response potential and the actual progress of research on source-load coordinated dispatching strategies of power systems, the paper compares the methods for generating typical scenarios of source-load from the level of statistics and deep learning methods, as well as the methods for pre-processing load data and scenario reduction from the level of clustering methods; outlines the definition of demand response and conducts a systematic analysis of the factors influencing the adjustable potential of demand response and the methods for evaluating demand response potential. The source-load optimization dispatching models are categorised and analysed according to various criteria such as time scale, regulation objectives and modelling mechanisms, and the application of various solvers are also listed and analysed; finally, a summary and reflection on the combination of load measurement demand response potential analysis and source-load optimisation dispatching strategies are presented.