Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications
Author:
Alpízar-Castillo Joel12ORCID, Vega-Garita Victor3ORCID, Narayan Nishant4ORCID, Ramirez-Elizondo Laura2ORCID
Affiliation:
1. Electrical Engineering Department, Fidélitas University, San Pedro, San José 11501, Costa Rica 2. DC Systems, Energy Conversion and Storage Group at TU Delft, 2628CD Delft, The Netherlands 3. Electrical Engineering Department, University of Costa Rica, San Pedro, San José 11501-2060, Costa Rica 4. Sustainable Energy for All, 1220 Vienna, Austria
Abstract
Energy storage is vital for a future where energy generation transitions from a fossil fuels-based one to an energy system that relies heavily on clean energy sources such as photovoltaic (PV) solar energy. To foster this transition, engineers and practitioners must have open-access models of PV systems coupled with battery storage systems (BESS). These models are fundamental to quantifying their economic and technical merits during the design phase. This paper contributes in this direction by carefully describing a model that accurately represents the power directions and energy dealings between the PV modules, the battery pack, and the loads. Moreover, the general model can be implemented using two different PV generation methods, the Gaussian model and the meteorological data-based model (MDB). We found that the MDB model is more appropriate for short-term analysis compared to the Gaussian model, while for long-term studies, the Gaussian model is closer to measured data. Moreover, the proposed model can reproduce two different energy management strategies: peak-shaving and maximizing self-consumption, allowing them to be used during PV–BESS sizing stages. Furthermore, the results obtained by the simulation are closed when compared to a real grid-tied PV–BESS, demonstrating the model’s validity.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
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