Research On Optimal Scheduling Strategy Of Active Distribution Network Considering Demand Side Response

The increasing proportion of distributed generation(DG)and controllable load in the power grid poses many challenges for the optimal scheduling of traditional distribution networks.Active distribution network(ADN)is a public distribution network with flexible topology,which can realize effective grid-connected control and management of distributed generation,energy storage equipment and intelligent power load.In order to realize the coordinated and efficient utilization and actively manage of each resource in ADN,and ensure the safe and economic operation of the grid,the optimal scheduling strategy of the active distribution network is the key technology to be improved.In this paper,the current research status of active distribution network and demand response is analyzed,and the key enabling technologies of ADN and the power characteristics of each equipment unit in ADN is studied.The current domestic demand response model is analyzed,and an active distribution network optimization scheduling strategy based on demand side response is established considering users'satisfaction.Firstly,the key enabling technologies of ADN is analysed,the power generation characteristics and power models of each equipment units in ADN are analysed.studies The power generation characteristics of the non-intelligent distributed generation equipment,including wind power,photovoltaic units,gas turbines and diesel generators,etc.,are studied.Models,such as the probability density model of the output power of the wind turbine,and the probabilistic photovoltaic power generation model of the photovoltaic system are established.At the same time,research and analysis on the power characteristics of smart devices are also made.A model of energy storage equipment based on dynamic battery model and a statistical model based on the power demand of the electric vehicle are both established.Secondly,based on the current domestic incentive mechanism,the user behavior model in the smart power environment is established,which fully considers the dynamic transfer law of the load users' electricity usage behavior,and the user's electricity usage behavior under different electricity prices is analyzed to obtain the user's demand price elasticity matrix.Through the demand response model analysis of intelligent power regional load,the intelligent power load is classified,different types of load modeling are carried out,and a Matlab software simulation is used to propose a user demand response scheduling model suitable for residential communities.Finally,an active distribution network scheduling scheme considering the demand side response is proposed for the development prospect of China's distribution network.Taking the active distribution network operating cost minimization as the analysis goal,coordinating multiple distributed energy units and demand side response and considering user satisfaction constraint,an active distribution network optimal scheduling model considering price-based and incentive-based demand side response is constructed.Based on the second-order cone-convex optimization algorithm,the non-convexity of the model is optimized.The model is verified under three different scenarios by Matlab software based on IEEE33 nodes network.Through the work of this paper,the active loss of the network and the operating cost of the system are effectively reduced,the economy of the active distribution network scheduling operation is improved,the utilization rate of the renewable distributed power generation is increased,and the demand side resources are fully scheduled,which provides reference for large-scale new energy interconnection,energy Internet scheduling and demand side scheduling.