| With the aggravation of social energy crisis and environmental pollution,clean renewable energy,represented by wind power generation and photovoltaic power generation,has developed rapidly.With the gradual improvement of wind power and photovoltaic permeability in power system,the load difference between peak and valley increases year by year,which affects the stable operation of the system.In order to solve this problem,this paper improves the peak shaving ability of power system by means of the characteristics of battery energy storage peak shaving and valley filling,and studies the methods of location,capacity and scheduling of battery energy storage.The following aspects are studied in this paper:Firstly,based on the actual historical data of a certain area,the impact of large-scale wind power on net load peak-valley difference is analyzed,and the variation of net load peak-valley difference caused by positive and reverse peak regulation of wind power is quantitatively calculated;furthermore,in view of the uncertainty of wind power and load forecasting,the concept of net load peak-valley difference uncertainty is proposed,and the pairs of net load peak-valley difference in different seasons are extracted.According to the probability distribution characteristics,a stochastic load peak-valley difference model based on kernel density estimation method is established.The validity of the model is validated by the random simulation of peak-valley difference in four seasons throughout the year.Then,the location and capacity method of energy storage participating in peak shaving is studied.In the aspect of location selection,the evaluation index of location fitness is put forward to quickly identify the weak links of power grid and realize the rapid location of battery energy storage system participating in peak shaving of power grid.In the aspect of capacity determination,considering the randomness of peak-valley difference,an optimal capacity allocation and economic evaluation method of energy storage system aiming at minimizing the comprehensive cost and optimizing the effect of peak shaving and valley filling are constructed.The probability distribution interval of energy storage capacity is obtained.Compared with the traditional precise capacity determination method,the proposed model provides more choice space for energy storage planning,which is more realistic.Finally,from the perspective of energy storage participating in system dispatching,considering the uncertainty of peak-valley difference of net load,aiming at minimizing total power generation cost and carbon emissions,a dual-objective opportunity-constrained dispatching model of low-carbon economy considering the interaction of demand-side energy storage participating in system dispatching is constructed.The model is solved by a mixed variable multi-objective algorithm based on NSGA-? and solved by the maximum satisfaction method.Choose the best compromise solution.The simulation results show that the model can effectively mobilize energy storage during peak and valley load period,improve wind power absorption capacity,alleviate unit output pressure at peak load time,and reduce system carbon emissions and unit energy consumption costs.This paper aims at analyzing the uncertainty of net load peak-valley difference caused by random wind power output and load forecasting error,this paper establishes a stochastic model of net load peak-valley difference.Based on the stochastic model of net load peak-valley difference,it establishes a method of location and capacity selection of grid-side energy storage,and obtains the optimal location and capacity of energy storage.Furthermore,from the perspective of energy storage participating in dispatching,a low-carbon economy considering the interaction of demand-side energy storage participating in dispatching is constructed.Results provides a reference for uncertain planning and operation of energy storage system. |
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