Research On Operation Optimization Of Multi-energy System Containing Electricity-Gas-Heat-Cool

The development of human society is closely related to energy and environment.Exploring the coordination between economic development and environmental protection to reduce energy consumption in production and promote the efficient use of energy has become a consensus.Combined cooling,heating,and power supply that realizes multiple energy supplies has the advantages of high energy utilization,flexible operation,and low pollution emissions,and is in line with the current trend of coordinated development of energy and environment.This paper takes the multi-energy system containing electricity-gas-heat-cool as the research object,and optimizes the simulation of the output of the equipment in each period to improve the economic,energy and environmental benefits of the multi-energy system operation.The main contents of this article are as follows:(1)The energy supply structure of the multi energy system containing electricity,gas,heat and cold is expounded.The operation characteristics of photovoltaic,wind power,micro gas turbine,gas boiler,refrigerator and energy storage device are studied,and the corresponding mathematical models are established,which lays the foundation for further optimization research.(2)Aiming at the complex optimization of multi-energy system objective functions and many constraints,a chaotic adaptive particle swarm optimization algorithm combining nonlinear decreasing inertia weight and chaos search is studied.Experiments were carried out with multiple test functions and compared with typical particle swarm optimization and adaptive particle swarm optimization algorithms to verify the effectiveness and feasibility of the algorithm.(3)Taking the lowest operating cost of the system as the optimization goal,the winter and summer seasons are divided into six different energy storage modes according to the characteristics of energy storage and energy consumption,and the economic optimization model of the multi-energy system is established.Considering constraints such as energy balance and equipment operation,chaotic adaptive particle swarm optimization algorithm was used for optimization and simulation,and the system's hourly operation strategy was obtained.The study found that energy storage devices can promote the reduction of the operating cost of the system.The reduction of the operating cost of electric energy storage is more obvious in winter than in summer,and the role of thermal energy storage in reducing the operating cost of the system is limited,and When electricity and heat storage are included at the same time,the economic benefit of system operation is the best.(4)Combining economic,environmental and energy efficiency aspects,a multi-objective comprehensive optimization framework has been constructed.Using operating costs,pollutant emissions and primary energy utilization as system evaluation indicators,different multi-objective optimization functions have been defined using equal weighting methods and used.The chaotic particle swarm optimization algorithm is used to simulate the example.Analyzed and studied under different optimization functions,and obtained different optimal operation strategies.Comparing the optimization results,it is concluded that the multi-objective comprehensive optimization model can achieve efficient operation of multi-energy systems with lower operating costs and lower pollutant emissions,and comprehensively coordinate the multi-objective optimization.