Study On Plug-and-play And Cooperative Control Of Battery Energy Storage In Active Distribution Network

Renewable energy output has the characteristics of fluctuation and intermittency.Wide access will affect the safe and stable operation of distribution network.As an effective measure to improve the permeability of renewable energy in distribution network,energy storage technology develops rapidly.But the large-scale application and grid-connection of energy storage bring challenges to the control and management of distribution network.At the same time,as a kind of mobile energy storage device,electric vehicles have greater randomness,and large-scale access will also have a particularity impact on the distribution network.Active distribution network has the ability to coordinate and control different kinds of intermittent energy,energy storage and controllable load,which can increase the acceptance capacity of the distribution network to renewable energy.This paper studies the plug-and-play architecture of battery energy storage from two aspects of information flow and energy flow,and studies the collaborative optimization strategy of battery energy storage and electric vehicle based on the cooperative interactive control framework of active distribution network.Firstly,study the plug-and-play architecture of battery energy storage from the perspective of information flow.Based on IEC61850 standard,complete the self-description model modeling,expression and configuration of battery energy storage system,and realize the self-description of battery energy storage system.Propose the discovery registration mechanism and simplify the flow of intelligent electronic devices access to distribution network.On this basis,self-describing model conformance test and information interaction conformance test are conducted.Secondly,study the plug-and-play architecture of battery energy storage from the perspective of energy flow.Based on the system operating cycle,study the control strategy of battery energy storage system under different time scale operating scenarios.On this basis,the switching strategy of operation mode is proposed,and the boundary conditions and priorities of switching are established to realize the control strategy and smooth switching of battery energy storage system under different operating scenarios.Finally,study the collaborative optimization of battery energy storage and electric vehicle under the framework of active distribution network collaborative interactive control.The global operation optimization on a long-time scale takes peak shaving and valley filling as the optimization objective,uses battery energy storage and electric vehicle power as the optimization variables,considers the power flow constraint,energy storage constraint and electric vehicle constraint,and solves the problem based on the improved particle swarm optimization algorithm.Based on the feeder control error,the short-time scale regional real-time control adjusts the power of battery energy storage and electric vehicles in real time according to the operating state,and realizes the absorption of intermittent energy output fluctuation and load change.The effectiveness of the algorithm is verified by the example using actual data of active distribution network demonstration project.The research results of this paper simplify the flow of battery energy storage access to the distribution network,optimize the operation of battery energy storage access to the distribution network,and promote the friendly interaction between the distribution network and energy storage and electric vehicles,which has good application value.