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Implementation of flexibility sources and advanced control algorithms to support modern power systems with a high share of renewable energy sources

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FLEXsys

FLEXsys project objectives

The FLEXSYS project aims to support the transition toward modern power systems with a high share of renewable energy sources. It focuses on the stable integration of renewable energy (RES) through advanced flexibility mechanisms and intelligent control strategies. The project develops and implements innovative flexibility sources, including battery energy storage systems, demand-side management, and power electronic technologies. Its core concept is based on strategic system design centered on flexibility to ensure grid stability, reliability, and efficiency.

O1 - Improvement of flexibility sources models

Development of accurate and computationally efficient dynamic models of key flexibility sources, such as battery energy…

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O2 -Advanced control algorithms + AI forecasting tools

Development and implementation of advanced control algorithms based on model predictive control and artificial…

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O3 -Microgrid flexibility optimization models

Designing intelligent energy management systems for microgrids that utilize local flexibility resources to enhance…

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O4 - Hybrid converter prototype development

Development and testing of a simulation model of a hybrid energy converter, commissioning and testing of basic control…

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O5 - Dynamic stability transient analysis - EMTP + AI

Comprehensive analysis of the role of energy storage systems (ESS) in power systems characterized by high renewable…

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O6 - HIL testing of the developed control algorithms

Validation of the effectiveness of the developed models, control algorithms, and optimization models through extensive…

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  1. FLEXsys
  2. Project objectives

Implementation of flexibility sources and advanced control algorithms to support modern power systems with a high share of renewable energy sources.

  • O1 - Improvement of flexibility sources models
  • O2 - Advanced control algorithms + AI forecasting tools
  • O3 - Microgrid flexibility optimization models
  • O4 - Hybrid converter prototype development
  • O5 - Dynamic stability transient analysis - EMT + AI
  • O6 - HIL testing of the developed control algorithms
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