CCHP system operation optimization based on k-means clustering and MILP model

Aiming at the subjective randomness in determining the typical day of CCHP system operation, proposes a new method for determining the typical day. Taking an office building in Qingdao as an example, based on the k-means clustering method, divides the annual cooling and heating energy consumption into six types of typical daily energy consumption, and according to its change law, taking the annual maximum profit as the objective function, constructs the MILP model of CCHP system. Obtains the operation strategy of each equipment under six typical daily working conditions by applying the model to CCHP system operation strategy optimization.