387. Hybrid residential systems with battery storage: multi-objective optimization of self-sufficiency and economic viability
Invited abstract in session TB-12: Optimisation under uncertainty in the power sector, stream Applications: AI, uncertainty management and sustainability.
Tuesday, 10:30-12:30Room: B100/8009
Authors (first author is the speaker)
| 1. | Paulo Rotella Junior
|
| Faculty of Social Sciences, Charles University | |
| 2. | Arthur Leandro Guerra Pires
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| Post-Graduate Program in Production Engineering and Systems - Federal University of Paraiba, Federal University of Paraiba | |
| 3. | Rafael Miranda
|
| IEPG, Federal University of Itajuba | |
| 4. | Luiz Celio Souza Rocha
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| Management, Federal Institute of Northern Minas Gerais | |
| 5. | Karel Janda
|
| Charles University |
Abstract
This study aims to optimize the economic viability and energy autonomy of hybrid systems (photovoltaic and wind) with battery storage within the context of regulatory changes (Law 14,300/2022) and the available tariff models in Brazil. To achieve this, a multi-objective optimization model was proposed using two objective functions: Net Present Value and Self-Sufficiency. The objective functions were modeled using Response Surface Methodology, and Normal Boundary Intersection method was used for multi-objective optimization. Key results indicated that the changes in the compensation rule did not render investments unfeasible, mainly when the generation is based on photovoltaic energy. However, the non-compensable portion of the energy distribution costs for prosumers, related to the B Wire component, which could be avoided by not injecting energy into the grid, is insufficient to make battery use economically viable. The results emphasize the need for region-specific policies that can harness the distributed generation potential of each region, as seen in areas with wind generation potential, which can increase the Self-Sufficiency level and address voltage flow inversion issues. The depth of discharge was also evaluated, and from an economic perspective, optimal values were identified around 80%. The best residential tariff model was evaluated, with most cities favoring the conventional tariff from an economic point of view, indicating the need to review this tariff model.
Keywords
- Multi-objective optimization
- Optimization in industry, business and finance
- Applications of continuous optimization
Status: accepted
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