Photovoltaic Power Intermittency Mitigating with Battery Storage Using Improved WEEC Generic Models

• Published in: Energies (Basel) Vol. 17; no. 20; p. 5166
• Main Authors: Schiochet, André Fernando, Duailibe Monteiro, Paulo Roberto, Borges, Thiago Trezza, Passos Filho, João Alberto, de Oliveira, Janaína Gonçalves
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-10-2024
• Subjects: Alternative energy sources; Batteries; battery energy storage system; Codes; Electricity distribution; Energy management systems; Energy modeling; Energy resources; Energy storage; model validation; Optimization; Parameter identification; photovoltaic systems; Power plants; power ramp rate control; renewable generation modeling; Renewable resources; Simulation; Simulation methods; Solar energy industry; Systems stability; Turbines; WECC dynamic models; Wind farms; Brazil
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en17205166

The growing integration of renewable energy sources, such as photovoltaic and wind systems, into energy grids has underscored the need for reliable control mechanisms to mitigate the inherent intermittency of these sources. According to the Brazilian grid operator (ONS), there have been cascading disconnections in renewable energy distributed systems (REDs) in recent years, highlighting the need for robust control models. This article addresses this issue by presenting the validation of an active power ramp rate control (PRRC) function for a PV plant coupled with a Battery Energy Storage System (BESS) using WECC generic models. The proposed model underwent rigorous validation over an extended analysis period, demonstrating good accuracy using the Root Mean Squared Error (RMSE) and an R-squared (R2) metrics for the active power injected at the Point of Connection (POI), PV active power, and BESS State of Charge (SOC), providing valuable insights for medium and long-term analyses. The ramp rate control module was implemented within the plant power controller (PPC), leveraging second-generation Renewable Energy Systems (RES) models developed by the Western Electricity Coordination Council (WECC) as a foundational framework. We conducted simulations using the Anatem software, comparing the results with real-world data collected at 100 ms to 1000 ms intervals from a PV plant equipped with a BESS in Brazil. The proposed model underwent rigorous validation over an extended analysis period, with the presented results based on two days of measurements. The positive sequence model used to represent this control demonstrated good accuracy, as confirmed by metrics such as the Root Mean Squared Error (RMSE) and R-squared (R2). Furthermore, the article underscores the critical role of accurately accounting for the power sampling rate when calculating the ramp rate.