Research On Day-ahead Dispatching Of Active Distribution Network Considering Multi-dimensional Elastic Interval Of Controllable Load

Electric power industry is the basic industry of national economic development.The demand for electric power has changed from a weak state at the end of the last century to a state of short supply,which has resulted in a large shortage of electric power supply.In order to alleviate the pressure of power supply and demand,we should fully tap the potential of DSM.At present,the dispatching optimization of distribution network is based on multi energy coupling equipment and combined optimization of heat,electricity and storage.How to give full play to the potential of DSM and optimize the power supply and consumption mode of distribution network is of great significance to the development of China’s power industry.Based on the above background,the main contents of this paper are as follows:(1)This paper describes the concept of phase change heat storage system and its application scenarios,introduces the classification and characteristics of phase change materials,analyzes the principle of phase change wall heat storage,and constructs the phase change heat storage building model by combining the phase change heat storage system with the building envelope through the concept of thermodynamics.(2)In order to alleviate the power pressure,energy storage technology and interruptible load demand side management technology have developed rapidly in recent years.In this paper,the distribution network consisting of controllable load including thermal storage,interruptible load and battery is taken as the research object.Considering the load characteristics of controllable load,a two-level optimization model for day ahead dispatching is established.The upper layer optimizes the heat load by using phase change heat storage device,taking the minimum heating cost as the goal;the lower layer optimizes the distribution network power supply capacity constraints,taking the maximum grid revenue and the minimum load fluctuation variance as the goal,and develops the action strategy of interruptible load and battery.Based on the simulation results of the modified IEEE33 system,the validity of the day ahead scheduling model is verified.(3)A two-level optimization model for daily dispatching of active distribution networks with controllable load uncertainty is proposed.On the basis of(2),interval number is introduced to represent the fluctuation interval of controllable load such as heat storage,interruptible load and battery,and interval multi-objective particle swarm optimization algorithm is used to solve the model.Finally,an example is given to verify the rationality of the proposed day ahead scheduling model.