| With the advantages of fast response speed and flexible dispatch,energy storage technology has gradually become the key means to provide voltage support,smooth the fluctuation of renewable energy power output,balance the power flow in the network,and match the relationship between supply and demand.The energy storage system as a demand side management resource can effectively smooth the fluctuation of system load power,however formulating a reasonable energy storage system operation dispatching strategy is a prerequisite for energy storage to participate in demand side management.Given this,under the support by the National Natural Science Foundation of China(No.51607051)“Research on risk assessment and optimization of active distribution system considering demand response”,this paper takes the operation strategy of energy storage system considering load demand difference and constraint factor as the research object,and carries out the research from the aspects of charging and discharging threshold division,charging and discharging power demand degree model and constraint factor optimization.The main contents of this paper are as follows:(1)The operation scheduling strategy of the energy storage system considering the difference of load demand is proposed.In view of the difference of charging and discharging demand of different load levels under the condition of limited energy storage capacity,the charging and discharging power demand model of the energy storage system is established by this paper.The operation scheduling strategy of energy storage system considering the difference of load demand is proposed by this paper.The results show that the strategy can prolong the charging and discharging cycle of the energy storage system,reduce the load fluctuation and improve the smoothness of the load curve.(2)Based on the charging and discharging threshold and dynamic constraint factor,the charging and discharging power demand model is improved.Considering that the charging and discharging state of the energy storage system can not be determined by the original peak and valley period when the load is cut and the valley filled based on the time of use price strategy,the threshold and charging and discharging benchmark are redivided based on the boundary moving technology.Meanwhile,considering that different load levels should be limited by dynamic constraint factors,the construction of the constraint factor model is improved.The results show that the model can effectively improve the effect of peak shaving and valley filling of the energy storage system,distribute the charging and discharging power of energy storage system at each hour more reasonably,and further improve the stability of power system.(3)The research on operation scheduling strategy of energy storage system based on constraint factor optimization.Due to the high cost of battery energy storage system,the installed capacity of battery energy storage system is relatively limited.Therefore,a reasonable scheduling strategy of battery energy storage system is of great significance for peak shaving and valley filling by using energy storage technology.Therefore,based on the daily maximum demand of charging and discharging,this paper improves the charging and discharging demand model of the energy storage system,and optimizes the hourly power constraint factor.Then,the peak shaving and valley filling scheduling model of the energy storage system is established.Take the minimum standard deviation of daily load after peak shaving and valley filling as the optimization objective.The solution is based on particle swarm optimization algorithm.The results show that the optimization strategy can further reduce the maximum peak valley difference,optimize the smoothness of the load curve,and improve the effect of peak shaving and valley filling. |
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