Research On Multi-energy Cooperative Control Technology Orienting To Energy Internet

The situation that the energy industry of China is facing is grim.Many problems are hindering its development,such as unreasonable energy structure,low comprehensive energy efficiency,and increasingly serious environmental pollution,which make it particularly important to build a stable,clean and efficient energy system.The coupling and complementation of different forms of energy are realized by the Energy Internet,which provides a new and effective path for the transformation and upgrading of the energy field.In this context,the different forms of energy are integrated by the multi-energy cooperation of the integrated energy system.The efficient utilization of energy is also realized by the multi-energy cooperation of the integrated energy system.The research on multi-energy collaborative control technology is deeper,it is more important to optimize the internal energy of the system,and make the system multi-objective optimization in the aspects of the economy,energy efficiency,and environmental protection.The research contents are as follows:(1)The concept of Energy Internet is introduced based on the characteristics of Energy Internet and the mathematical model of Energy Hub.Multi-energy interconnection architecture of the Energy Internet is proposed.The mathematical models of various devices are established,such as wind power units,photovoltaic units,combined heat and power,electric boiler,power to gas,gas boiler,and energy storage equipment.The demand response models of electricity and heat consumption are also established.The models provide a theoretical basis for the analysis and research of the model of multi-energy collaboration optimization in the following chapters.(2)Considering the output of wind power and photovoltaic units and comprehensive demand response models of electricity and heat consumption,the structure of a multi-energy collaborative optimization model is designed to minimize the daily operating cost of the system,which covers different forms of energy like electricity,heat and gas.The demand for electric,heat and gas loads on the demand side within the scheduling cycle and the output constraints of each piece of equipment are satisfied by the model.Three comparison scenarios are set up and each model is solved by calling CPLEX in MATLAB.The effectiveness of the proposed model is analyzed and verified from the aspects of system operating cost and output of each device in the system.(3)Aiming at the uncertainty of the wind power and solar output,Latin Hypercube Sampling(LHS)is used to generate scenarios,and then reduced by the backward scenario reduction technique.The wind and solar output power curves are obtained after the scene analysis.A multi-objective optimization model of the integrated energy system that is converted into a single-objective model to be solved by per-unit processing is proposed with the goals of system operation cost,comprehensive energy efficiency level and pollutant emission control cost,which takes the economy,energy efficiency and environmental protection of the system operation into consideration.Three scenarios are set up for comparison and each model is solved by calling CPLEX in MATLAB.The results show that the proposed multi-objective optimization model has a better comprehensive effect in reducing the cost of the system operation and pollutant emission control and improving the comprehensive energy efficiency level.