The invention discloses a scene modeling method suitable for planning operation of an
integrated energy system, and the method comprises the steps: firstly collecting photovoltaic output data,
wind power output data, electric load data, gas load data, cold load data and
thermal load data of a researched region, carrying out the per-unit
processing of the obtained data, arranging the data according to time, and generating a scene
data set; then, adopting an improved LHS method to carry out sampling and correlation control
processing on the scene
data set, and obtaining a sample matrix; and finally, clustering the sample matrix by adopting an improved K-means method to form a specific probability scene which retains the characteristics of the original scene. The method overcomes the defects that in the prior art, scene description is inaccurate, and it is difficult to completely adapt to future planning and operation, lays a foundation for subsequent
system planning design,
operation scheduling and the like, avoids the problem that reliable operation of the
system is affected by installation mismatching caused by inaccurate traditional scene
prediction methods, and effectively improves the design and operation economy of the comprehensive
energy system.