In order to improve the reliable operation capability of a combined heat and power microgrid (CHP-MG) in a harsh environment, a fuzzy economic dispatching strategy of CHP-MG considering the double uncertainty of source and load is proposed based on the typical scenarios of wind, light, electricity and heat. Firstly, a combination method of Latin Hypercube Sampling (LHS) and K-means clustering is used to generate typical scenarios of predicted values of wind, light, electricity and heat. Secondly, triangular or trapezoid fuzzy parameters are used to represent the uncertainty of wind, light, electricity and heat prediction errors, and the certainty constraints of CHP-MG are transformed into fuzzy chance constraints based on credibility theory. Thirdly, according to the clear equivalence class of fuzzy chance constraints, the chance constraints with triangular or trapezoidal fuzzy parameters are clarified, and the corresponding deterministic mixed integer programming model is formed. Finally, the rationality of the proposed model and method is verified by Matlab/Cplex simulation, which provides a reliable economic scheduling scheme for CHP-MG. 

combined heat and power microgrid (CHP-MG), economic dispatching, uncertainty of source and load; fuzzy chance constraints, scenario generation