Abstract:In order to evaluate the operation performance of combined cooling, heating and power unit and perform a realtime optimization, this paper proposed a piecewise fitting method of operation data using genetic algorithm. The genetic algorithm adopted the existing ga function in MATLAB, and utilized the least square method to evaluate the fitting error and constraints to ensure the continuity and smoothness at piecewise points.Using this method, this paper fitted the relationship among high pressure steam quantity, low pressure steam quantity and generating capacity of gas turbine for the heat recovery boiler of a certain distributed energy station in Shanghai. Fitting results indicated that this method could realize the automatic piecewise fitting and the fitting curve could accurately reflect the trend of data.

Keywords:combined cooling, heating and power unit, performance curve, genetic algorithm, piecewise fitting