Configuration of storage battery cooperating with pumped-storage units for wind and photovoltaic power fluctuation smoothing

Aiming at the configuration problem of storage battery cooperating with pumped-storage units to smooth the fluctuation of new energy power, a bi-level configuration method of storage battery is proposed. This method first decomposes the combined output power of wind and solar through ensemble empirical mode decomposition (EEMD), and determines the number of components to be smoothed according to the different operating conditions of the pumped-storage units. The upper planning model aims to minimize the total cost of energy storage, and the lower operating model aims to minimize the deviation from the output index. Aiming at the solution of the two-layer model, the improved particle swarm optimization (IPSO) algorithm is used to solve the model. The calculation example analysis shows that the proposed configuration method effectively smooths the fluctuations of the wind and solar combined system, and there is also a good coordination between the storage battery and pumped-storage units. Finally, the model considers the economics of investment and the effect of smoothing fluctuations at the same time.