## 1 Introduction
PRRC methods such as the Enhanced Linear Exponential Smoothing (ELES) [20; 21; 22; 23], the First Order Low-Pass filter (FOLPF) [24; 25; 26; 27], and the second-order LPF (SOLPF) have been proposed to reduce power fluctuations in the ESS [28]. A solution to avoid the use of ESS is the Active Power Curtailment (APC) method [5; 29; 30; 31; 32; 33; 34]. This method moves the power converter away from the maximum power point to reduce the power injection to the main grid. Though, the APC is only valid for ramp-up events. For this purpose, the Forecasted APC (FAPC) method has been proposed in [35; 36]. This method determines whether a ramp-down event will occur and reduces the injected power by moving the power reference away from the maximum power point. However, as both APC and FAPC are aimed to avoid the use of ESS, their reliability is highly affected by the accuracy of the forecast. As each of the aforementioned PRRC methods has its own advantages and disadvantages, it becomes of high interest to study how they affect the operational costs and how they affect the battery degradation in LSSPP. Furthermore, it becomes important to study the performance of each PRRC method in an LSSPP in Puerto Rico, which is characterized to have a special solar radiation behavior and different grid characteristics compared to other territories. Other studies about the impact of PRRC have been made in Puerto Rico [5; 37; 38]. However, none of them have tested the impact of different PRRC methods nor their impact on battery degradation. This work is intended to propose a predictive PRRC method and to perform a study comparing the aforementioned PRRC methods applied to a case study in a highly detailed model of the Coto Laurel solar power plant. Coto Laurel is a solar farm in Ponce, a town located on the southern coast of Puerto Rico. The installed capacity is approximately 14 MW DC, distributed in fifteen (15) groups of solar panels, for a total of 55,416 panels. The contracted capacity at the POI is 10 MW. Figure 1 shows the satellite view of the solar farm, each of the fifteen groups is depicted with a white box. Moreover, each group was labeled with a black capital letter to simplify the discussion. The green boxes depict the location of the inverters and their respective transformers, whereas the orange box shows the farm's battery bank and its respective inverters and transformers to connect to the main grid. The model of the Coto Laurel solar power plant was developed, tested, and validated using an OP5700 simulator from OPAL-RT technologies. Furthermore, the proposed predictive PRRC method was compared against others PRRC methods to analyze the effect in the LCOS and the battery degradation. The rest of this document is organized as follows: In Section 2, a brief overview of the most common PRRC methods is made. Then, in Section 3, the proposed predictive PRRC method is presented. Section 4 presents the methodology for the economic analysis of each of the PRRC methods. Section 5 presents the case study in Coto Laurel, Puerto Rico. Section 6 presents daily and yearly simulation results and a comparative analysis Finally, discussions and highlighting are presented in Section 7.