Operating Condition Analysis And Application Of The Energy Storage System

It can increase the capacity of the grid for PV power generation by using BESS to smooth PV power fluctuations.In view of large scale BESS suitable for power grid,this paper provides a slope method with variable coefficients to control the output power of BESS.On this basis,a mining method of typical daily power curve for BESS based on probability distribution of power among scattered historical power time series is proposed.This paper uses this method to mine typical operating curve and analyses the operating conditions of BESS.Firstly,this paper puts forward a slope method with variable coefficients under the application scenario of smoothing PV power fluctuations to get the output power of BESS so as to provide data for the following research.This method divides the SOC of BESS into five different interval using six control variable proposed.Combining with rp(t),the control method containing 20 control rules is achieved.Aiming at the control method,this method uses a self-adaptive chaos particle swarm optimization algorithm to optimize the coefficients in real time whose objective function is developed based on the ultra-short term PV power prediction.The simulation analysis verifies the validity of the method.Then,this paper uses the control method proposed to deal with PV historical power data,so the corresponding power data of BESS is achieved.A FCM is employed to cluster the PV power data to get the typical power data of BESS under different weather.And a mining method of typical daily power curve for BESS based on probability distribution of power is proposed to mine typical power.Through the analysis of typical parameters,distribution situation and correlation of typical power curves achieved by this method of BESS under different weather,the typical power curve has certain reference value to the optimal power allocation and capacity allocation.Finally,this paper analyses the typical operating parameters' change situation when the capacity allocation of BESS is different,and this process is controlled by the method proposed above.In addition,a qualitative analysis of the correlation between operating parameters and capacity allocation of BESS is conducted.This paper also proposes a method basing on Euclidean distance and LS-SVM to computer correlation coefficient between operating parameters and capacity allocation of BESS.