| The electric and heating integrated energy system can realize the vertical coordinated operation of "source-network-load-storage" and the horizontal complementation of "cooling-heating-electric-gas",which can effectively improve the capacity of new energy consumption and the economic benefits of the system,and is the energy research and construction focus of China.On the one hand,with the further coupling of the electric heating integrated energy system power system and the thermal system,it is of great significance for promoting the consumption of renewable energy and optimizing operation to construct electric and heating load scenarios of the comprehensive energy systems accurately.On the other hand,the nonlinear and time-delay characteristics of the thermal system itself and the increase in demand-side response affects the real-time balance of the source and load.Thus,They can be included as virtual energy storage into the energy storage side planning.In this context,the relevance of electric and heating load is considered,and based on the load scenarios of the comprehensive energy system,the dynamic characteristics of the heating network and the demand side response are introduced,and the physical energy storage planning of the electric and heating integrated energy system is carried out in this thesis.The main work of this thesis is as follows:(1)Aiming at the uncertainty of the long-term growth of the electric heating load in the electric heating integrated energy system,the concept of the load side scenario of the integrated energy system is proposed.Firstly,the electrical load characteristics and heating load characteristics in the electric heating energy system are analyzed respectively.Secondly,a Copula function is constructed to describe the correlation between electric-heating loads,and the Euclidean distance method is used to select the optimal Copula model in different periods of the dispatching day.Thirdly,the massive electric-heating load scenarios are generated according to the probability superposition,and the scenarios are reduced by the K-means clustering algorithm to obtain the typical scenarios of the final electric-heating load.The generated electric-heating load scenarios are the basis of the integrated energy system scheduling and planning research and are incorporated into the physical energy storage planning of the electric heating integrated energy system as load-side data.(2)Given the high construction cost and the long period of physical energy storage in the integrated energy system,the dynamic characteristics of the heating network and the demand-side response are incorporated into the integrated energy system planning as virtual energy storage.Firstly,the dynamic characteristics of the heating network and the virtual energy storage characteristics of the load-side demand response are analyzed to effectively tap the energy storage potential of the integrated energy system.Secondly,the scenario analysis method is used to describe the uncertainty of short-term renewable energy output and long-term load growth.With the minimum sum of energy storage investment cost,demand response contracted capacity cost,and operating cost of the system as the optimization goal,a comprehensive energy system multi-scenarios physical energy storage planning model considering the dynamic characteristics of the heating network and the demand-side response is established;finally,the IEEE 33-node power grid and the 26-node heating grid are taken as an example to verify the effectiveness of the proposed model.The example analysis shows that the combination of physical energy storage and virtual energy storage can effectively reduce the physical energy storage configuration capacity,and reduce the investment of the electric and heating integrated energy system.In summary,based on the correlation of electric and heating load,the generated comprehensive energy system scenarios can effectively describe the uncertainty of load growth;and the dynamic characteristics of the heating network and the demand-side response are included as virtual energy storage into the physical storage of the electric and heating integrated energy system,which can effectively improve the economic efficiency and comprehensive energy efficiency of the system. |
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