Modeling and model predictive control of micro gas turbine-based combined cooling, heating and power system

This paper presents two model predictive control (MPC)-based strategies for the micro gas turbine-based combined cooling, heating and power (MGT-CCHP) system. The first design uses a single MPC to control the integrated MGT-CCHP system in the coordinate way, where the advantages of MPC in dealing with the multi-variable coupling system can be fully taken. The second design follows the physical connection of the MGT-CCHP system, where two independent MPCs are designed for the micro gas turbine and refrigerating machine respectively. For both the MPC-based strategies, the technique of subspace identification is employed to develop the predictive model using the input-output data of the system, and Kalman filter is used to estimate the unmeasurable state variables. Simulation results on an 80 kW MGT-CCHP system demonstrate the feasibility and advantage of the proposed MPC strategies.