| In recent years,wind power has developed rapidly in my country,especially in the "Three Norths" area.In order to ensure the heating demand in the Three Norths,cogeneration units will make strong output,which indirectly squeezes the space for wind power consumption.Due to the use of coal for heating in winter in the north,which has caused environmental pollution and reduced wind power utilization space,in response to these problems,energy storage and heat storage technology has been introduced in the building group,and energy storage and heat storage devices have been configured to convert electricity to eliminate heat.For wind power,how to coordinate and optimize the energy storage and heat storage devices in the building group is a problem that needs to be solved.Therefore,this paper proposes a wind power and heat absorption optimization coordination method that considers the building group.First,the relevant mathematical model is built,and finally the improved particle swarm is adopted.The algorithm and pareto front-end optimal combination method solves the coordinated output of heat storage and energy storage in the building group in a typical day period,provides technical support for increasing the space of wind power grid connection,and builds a coordinated dispatch system.The feasibility of this method is verified.First of all,this article analyzes the characteristics of wind power output and the predicted output of wind power,and establishes the overall architecture of lithium-containing battery energy storage(Simulink simulation)and solid-state heat storage devices.At the same time,the solid-state heat storage and energy storage in the building group participate in the elimination of wind power The principle is explained in detail;in addition,the operating conditions of each mode are compared,and the advantages of adding heat storage and electricity dispatching to the building group are analyzed.Secondly,in order to increase the space for abandoning wind to connect to the grid and decoupling the traditional heating constraints,for the above-mentioned coordinated control system,mathematical models such as wind turbines,lithium battery energy storage,and solid-state heat storage devices are studied separately;combined with energy balance constraints,lithium battery storage The upper and lower limits of energy,the upper and lower limits of the power of solid-state heat storage devices,and the introduction of abandonment penalty cost parameters,have established a two-tier optimal scheduling model with the lowest total operating cost and the least carbon emissions.Through improved particle swarm optimization and pareto The optimal frontier is displayed,and the optimal solution is obtained;through the comparison of the four operating modes,the feasibility of adding the heat storage and power storage optimization scheduling scheme is verified.Finally,through the analysis of the solid-state heat storage device and the lithium battery energy storage system architecture,and under comprehensive consideration,an experimental system was built for the solid-state heat storage power dispatching system in the building group,including solid-state heat storage devices,phosphoric acid Iron-lithium battery pack equipment,RLC programmable load,wind turbine simulator and two-way converter and other equipment.According to the formulated heat storage and electricity control strategy,the labview software is used to build the host computer platform,and the built system is used to verify the heat storage and electricity storage coordination control system and the experimental test analysis,which verifies the energy storage and heat storage coordination in this paper.The feasibility and economy of the control method.The results show that the use of the heat storage and electricity storage joint dispatch system in this study reduces the total operating cost,reduces carbon emissions,and increases the wind power consumption space.It is verified that adding heat storage and electricity storage to the building group can reduce the total operating cost and reduce The feasibility of carbon emissions. |