Multi-objective Optimization of Gas-steam Combined Cycle Energy Station Base on Nash Negotiation Method

The gas and steam combined cycle uses natural gas and realizes the supply of cold, heat and power based on the principle of energy cascade utilization. It has the advantages of high energy efficiency and less pollutant emission, so its application scale is extending. In this paper, the mathematical models of equipment in the energy station, which consists of gas and steam combined cycle, are established. Then the objective function and constraint conditions for multi-objective optimization considering economic and environmental benefits are proposed. The Nash negotiation method is used to find the solution to this multi-objective optimization problem on the Pareto frontier. Since the device models are properly linearized, each sub-problem on the Pareto front becomes a MILP problem, which can be solved by commercial solvers. Finally, a case study based on an actual energy station is carried out and the results of single-objective optimization and multi-objective optimization are compared to illustrate the Pareto effectiveness of the Nash Bargain solution.