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1115. Stochastic multiobjective optimization for hybrid distributed generation with battery storage systems
Invited abstract in session TB-19: The role of storage in energy problems, stream OR in Energy.
Tuesday, 10:30-12:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Paulo Rotella Junior
|
| Faculty of Social Sciences, Charles University | |
| 2. | Aglaucibelly Barbosa
|
| Department of Production Engineering , Federal University of Paraiba | |
| 3. | Luiz Celio Souza Rocha
|
| Management, Federal Institute of Northern Minas Gerais | |
| 4. | Arthur Leandro Guerra Pires
|
| Post-Graduate Program in Production Engineering and Systems - Federal University of Paraiba, Federal University of Paraiba | |
| 5. | Karel Janda
|
| Charles University |
Abstract
Hybrid energy projects are attracting global interest due to the essential search for sustainable development, the alternative to oil price volatility, and the economic and environmental advantages of renewable energy sources. To contribute to filling the gap in the existing literature, which lacks an analysis considering the randomness of variables in a multiobjective optimization model, this study proposes a stochastic model for assessing the economic feasibility of a hybrid energy system comprising wind energy, photovoltaic generation, and battery energy storage. The model incorporates risks and uncertainties inherent in the critical variables associated with such investments. The multi-objective optimization employs the Design of Experiments with Response Surface Methodology and utilizes the Desirability function to optimize the process. As a result, to maximize the average and minimize the standard deviation of the Net Present Value, an optimal configuration was obtained, represented by the combination of a system with 92% wind energy, 230 kWh/month of demand, use of a lithium-ion battery in a total scenario. Given the specific parameters and assumptions applied in this study, it is concluded that there is economic feasibility of wind photovoltaic projects with energy storage in batteries in regions with highly favorable wind regimes.
Keywords
- Energy Policy and Planning
- Optimization in Financial Mathematics
- OR in Energy
Status: accepted
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