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1434. Multi-objective optimization for a microgrid energy management system: Controlling battery lifetime and economic cost.
Invited abstract in session TD-22: Distributed energy systems, stream Energy Management.
Tuesday, 14:30-16:00Room: 81 (building: 116)
Authors (first author is the speaker)
| 1. | Juana Lopez Redondo
|
| Department of Informatics, University of Almeria | |
| 2. | Luis Polanco
|
| Unidad de Energía Renovable, Centro de Investigación Científica de Yucatán A.C. | |
| 3. | Víctor M. Ramírez
|
| Centro de Investigación Científica de Yucatán | |
| 4. | José Luis Torres
|
| University of Almería | |
| 5. | José Domingo Álvarez
|
| Department of Informatics, University of Almeria |
Abstract
Batteries are the element of the microgrid with the shortest and limited lifetime, characterized by a finite number of charge/discharge cycles. By optimizing charge/discharge cycles, the system can extend battery life, contributing to overall sustainability. However, in microgrids, it is often in the interest of minimizing their economic operating cost, which is a contradictory objective to maximizing battery lifetime, as batteries can save energy from renewable energy sources for use during periods of high energy demand instead of using energy from the main grid. Therefore, the energy management system must address these objectives to ensure efficient operation of the microgrid. This research presents a novel energy management system designed to simultaneously minimize energy costs and battery charge/discharge cycles in a microgrid. Our methodology employs a multi-objective optimization algorithm to identify solutions that satisfy both economic and operational objectives. The result is a set of equally valuable solutions, giving decision makers the flexibility to choose the option that best fits their current preferences. This adaptability allows users or operators to change solutions as conditions evolve, eliminating the need to re-solve the optimization problem. The effectiveness of the energy management system is demonstrated through its application in simulation to the microgrid located in a bioclimatic building at the University of Almería.
Keywords
- Electricity Markets
- Energy Policy and Planning
- Multi-Objective Decision Making
Status: accepted
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