Optimization Of Hybrid Heat-Gas-Power Supply System

Multi-Energy Hybrid Supply(MEHS) is an important transition from Single Power Supply to Energy Internet. Most of researches pay more attention to Combined Heat and Power(CHP) as well as Combined Cold, Heat and Power(CCHP), while Hybrid Heat-Gas-Power Supply still in the preliminary research stage. For the optimal purpose of hybrid heat-gas-power supply system mainly involving heat and power, combined with consumption of solid fuel and cost of natural gas, an objective function of operating cost is established. To solve the example established in this paper, an optimization algorithm is proposed.This paper first analyzes the dynamic characteristics of each unit and establishes appropriate mathematical models, which including photovoltaic power generation, wind power, electricity storage, thermal storage, micro-gas turbine, fuel cell, gas boiler and electric boiler. Meanwhile, according to the peak and valley feature of the electrical/thermal load, a reasonable structure of electricity rate is designed. Secondly, considering the power balance and output limit of each unit, an objective function based on operating cost is established,including the cost of power generation, fuel cell operating cost, micro turbine running cost,operating cost of micro-gas turbine, electric boiler operating cost, earning of distributed generation(photovoltaic and wind power). Thirdly, the objective function is optimized by the improved genetic algorithm, which is mainly to limit the unit state in service, avoiding too much start-stop times for optimization of running cost. Finally, an example based on IEEE 14 node is established and analyzed for hybrid heat-gas-power supply system. The optimal result proves the feasibility of hybrid heat-gas-power supply system, including respective output of units and minimum operating cost.