Day-ahead and Intra-day Optimization Scheduling Considering Generalized Energy Storage
With the accelerated construction of China's new power system,the proportion of new energy installed capacity continues to increase.However,due to the strong volatility and randomness of new energy,the peak pressure of conventional units is huge,and the phenomenon of abandoning wind and light occurs from time to time.To solve this problem,this paper regards electrochemical energy storage,price-based demand response(PBDR),and electric vehicle cluster as generalized energy storage,and establishes a low-complexity charging and discharging model of electric vehicle cluster.The number of SOC state sub-intervals of electric vehicles is reduced from 3N to N,which reduces the complexity of the operation.According to the SOC state,the charging and discharging power of electric vehicles in each sub-interval is controlled,and the charging and discharging model of electric vehicles is established by simulating the travel law of electric vehicles.At the same time,the electric vehicle cluster model is introduced into the day-ahead and intra-day two-stage optimal scheduling of the power grid,and the generalized energy storage is involved in the two-stage scheduling of the power grid to undertake the peak shaving task.The results of the example show that the introduction of generalized energy storage can smooth the load curve well and realize the peak load shifting of the load.At the same time,by giving full play to the advantages and characteristics of the resources within the system,on the one hand,the cost of dispatching and peak regulation of the power grid can be reduced from 39.69277 million yuan to 27.23778 million yuan,a decrease of up to 31％,which improves the economy of the power system.On the other hand,it can promote the consumption of wind power and photovoltaic power in the power system,improve the low carbon of the power system,and help the early realization of the goals of"carbon peak"and"carbon neutrality".
generalized energy storageday-ahead schedulingintraday schedulingnew energy
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