Power and capacity configurations are calculated at different confidence levels; the degrees of power satisfaction and capacity satisfaction are used to evaluate the energy storage configuration results, and the optimal energy storage system configuration for the PV power station is obtained.
As PV power outputs have strong random fluctuations and uncertainty, it is difficult to satisfy the grid-connection requirements using fixed energy storage capacity configuration methods. In this paper, a method of configuring energy storage capacity is proposed based on the uncertainty of PV power generation.
The energy storage capacity configuration is the one Scan for more details Honglu Zhu et al. Research on energy storage capacity configuration for PV power plants using uncertainty analysis and its applications 609 of the hotspots in current study [8, 9, 10].
The configured energy storage system compensates for power differences and tracks the target output of the PV system. The required energy storage system capacity depends on the forecast error; the same configuration for all conditions is likely to increase energy storage system operating costs.
The energy storage system power is expressed as P t P t P tESS s r ( ) ( ) ( )= − (13) where Ps (t) is the forecasted PV power of the plant at time t, and Pr (t) is the actual PV power of the plant at time t. When Ps (t)> Pr (t), the forecasted PV power of the plant is greater than the actual power, and the energy storage system discharges.
This study focuses on the energy storage capacity configuration of PV plants considering the uncertainty of PV output and the distribution characteristics of the forecasting error in different weather conditions. Compensating for PV power forecast errors is an important function of energy storage systems [16, 17].