| In recent years,with the rapid increase of China’s installed wind power capacity,the contradiction between heat supply and wind power integration during the winter heating period in the "Three North" area of China has become more and more prominent,causing a serious problem of "abandoned wind and limited power".The thermal power plant is equipped with a heat storage tank scheme to increase wind power integration and reduce fossil energy consumption effectively.The capacity of heat storage tanks has a great influence on the effect of wind energy integration and the economic operation of thermal power plants.In this paper,the necessity of heat storage tank configuration and the optimization of heat storage tank capacity are studied.This paper firstly analyzes the rationality of wind power representation for the research objective,and selects the mean and two-step clustering algorithm for the scenario reduction of wind power.Through the obtained annual wind power output time series data,the output characteristics of the wind power scenario after reduction are analyzed,and the rationality of the two methods is verified.Secondly,based on the integrated system scheduling model of electricity and heat with heat storage,the relationship between cost and revenue of thermal power plants configured with heat storage tanks in the annual cycle under different wind power installed capacity and heat load conditions is analyzed.The calculation results show that when the installed wind power capacity is small,the annual economic benefits of the heat storage tank’s configuration are negative,and there is no need to configure the heat storage tank.When the wind power installed capacity and thermal load are large,the configuration of the heat storage tank can bring better annual economic benefits within a certain range of the thermal storage tank capacity.Finally,considering the mutual influence of the preliminary investment cost of heat storage tank and the later operation benefit,a bilevel optimization model of heat storage capacity is established,i.e.,the upper model of heat storage capacity optimization and the lower model of heat storage system operation optimization.According to the coupling relationship between the upper and lower layers,a two-layer solution algorithm combining adaptive genetic algorithm and mixed integer linear programming algorithm is designed to determine the optimal capacity of configured heat storage tanks,and the related influencing factors are analyzed.The results show that the standard coal price has the greatest influence on the determination of the optimal heat storage capacity.The analysis of the necessity of heat storage tank configuration can solve the feasibility problem of configuring the heat storage tank solution under the given system conditions,and the optimization of the heat storage tank capacity can improve the economy of the overall system operation.The research results of this paper can provide some theoretical references for the configuration and capacity selection of heat storage tanks in different planning stages of thermal power plants. |
