Research On Unified Energy Management Model Of Combined Thermoelectric System

With the development of global economy,energy and environmental issues have attracted great attention at home and abroad.The combined heat and power system integrates heating and power generation,effectively improves the utilization of energy and reduces the pollution of waste gas to the environment.Therefore,the development of the combined heat and power system has attracted the attention of all countries.But The coupling characteristics between thermoelectric and thermoelectric systems and the high uncertainty of thermoelectric load and renewable energy have brought great challenges to the energy optimization management of thermoelectric combined systems.In order to meet the demand of energy optimal management of thermoelectric combined system,this paper studies the energy management model and method of thermoelectric combined system from three aspects: unit modeling of thermoelectric combined system,economic optimization of system before day,coordinated optimization of energy management of multi-time scale in day.The main research work of this paper is as follows:(1)Modeling of thermoelectric combined systemIn this paper,the system mainly includes thermal power units,cogeneration,electric boilers and heat storage tanks.Unit model of thermoelectric combined system is the basis of realizing energy optimal management of the system.Therefore,by studying their operation principle,characteristics and mathematical model respectively,a comprehensive model of thermoelectric combined system is finally established.(2)Research on Economic Optimized Operation of Thermoelectric Joint System Based on Interval ProgrammingIn order to solve the influence of uncertainties such as thermoelectric load,renewable energy and equipment efficiency on the system,an economic dispatching method based on interval optimization is proposed in this paper.This method divides all uncertain data in the system into intervals,converts the interval dispatching problem into two deterministic problems,and then uses mixed integer linear regulation.The method is used to solve the problem.Finally,the optimal interval which is in line with the lower operating cost of the system is given.The effectiveness of the proposed method is verified by simulation.(3)Daily Scheduling of Combined Thermoelectric SystemOnly by day-ahead scheduling can not meet the needs of day-to-day operation,so this paper uses multi-time scale optimization scheduling strategy to optimize the day-to-day operation of the system.The energy management strategy of the system mainly includes three stages: day-ahead scheduling,day-ahead predictive control and real-time optimization.In the day-ahead scheduling stage,this paper uses the method mentioned in Chapter 3 to give the optimal operation interval which meets the system’s lower operating cost.In the intra-day predictive control stage,through the latest operation data,the scheduled value of the equipment dispatched before the day is revised.In the real-time optimization stage,the output of each unit in the system is adjusted according to the demand of thermoelectric load and the output of renewable energy.The rationality and validity of the energy management strategy of the combined thermoelectric system based on the optimization of day dispatch are verified by an example.