The Optimal Configuration And Economic Operation Of Combined Cold And Hot Power Supply Microgrid

The combined cooling heating and power,CCHP)micro grid has the advantages of high efficiency of energy utilization,reliable power supply capacity and small environmental pollution,which can effectively alleviate the problems caused by the rapid development of global economy,the aggravation of environmental pollution and the development of electric power industry revolution.It is of great significance to ensure the energy use in some areas where grid erection is difficult,and it is also a social,economic and environmental sustainability Therefore,it is one of the effective ways to build the micro grid of CCHP.In view of the shortcomings of inaccurate target cost function and insufficient consideration of system reliability in the current optimal configuration of CCHP system.This paper firstly gives the architecture and energy flow diagram of the system configuration on the optimal configuration of the CCHP system.The system configuration increases the land use cost and the environmental cost of leased land.With increasing the cost of grid-connected inverter equipment in the system reliability cost,this paper builds a complete system construction objective function.Under the premise of satisfying the constraints proposed in this article,the particle swarm optimization(PSO)is used to solve the objective function to obtain the system configuration plan.To verify the power supply reliability of the constructed system,this paper analyze the cumulative investment cost of the CCHP system and the environmental costs generated by the equipment.The experimental results show that the constructed CCHP has high power supply reliability,low environmental pollution costs,and high economic benefits.advantage.For the current economic constraints of CCHP system,there are insufficient constraints,insufficient secondary frequency modulation capability of the system,and unstable renewable power generation.In this paper,the economic operation of the system is studied on the basis of the optimal configuration of the system.According to the actual engineering project experience of the system operation,the cost of the battery charge and discharge,the energy loss cost of the energy storage tank,etc.are taken to build a complete system operation objective function.This paper uses the artificial neural network algorithm to predict and feedback the renewable energy power generation unit to ensure the stable scheduling of photovoltaic and wind turbine power generation,and increases the gas turbine's lifting slope constraints for improving the system's secondary frequency modulation capability.Under the premise of satisfying the constraints,this paper uses the PSO algorithm to select the best scheduling strategy that satisfies each running time of the system from the basic scheduling strategy,and characterizes the operating characteristics of the system through typical days.The experimental results show that the CCHP system operation scheme proposed in this paper has stable secondary frequency modulation capability,environmental protection and good economic benefits.