CPES 2024 Paper Abstract

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Paper ThuS3T2.4

Takayama, Yoshinari (University Paris Saclay (CentraleSupelec)), saoud, adnane (laboratoire des signaux et systèmes), Iovine, Alessio (CNRS, CentraleSupélec)

Power Management Via STL Specifications of a DC Microgrid Integrating Renewables and Storage Devices: A Smart Railway Station Case Study

Scheduled for presentation during the Regular Session "Young Authors Award special session" (ThuS3T2), Thursday, July 11, 2024, 16:30−16:50, Grand Amphitheater

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Keywords Optimization in Energy Systems, Optimal Operation and Control in Smart Grids, Operation and Control of Renewable Energy Systems

Abstract

The present paper defines and manages desired complex temporal behaviors for power management of microgrids composed of renewables and storage devices, and connected to the main grid. The study focuses on a smart railway station that integrates regenerative braking energy from trains. Coordinating various tasks within a microgrid involves handling intricate interactions among its components and complying with constraints across hierarchical control levels. In this study, we utilize a Signal Temporal Logic (STL) approach to formalize these complex objectives within a Model Predictive Control (MPC) framework. The optimization problem is subsequently addressed using a mixed-integer strategy. Numerical simulations are conducted to demonstrate the effectiveness of the proposed approach.

 

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