Merging cross-border flow optimization techniques for performance maximization

Anastasis Tzoumpas; Alvaro Nofuentes; Catherine Winning; Mark Norton; Zhehan Zhao; Magda Zafeiropoulou; Athanasios Bachoumis; Dusan Vlaisavljevic; Branko Lekovic

doi:10.12688/openreseurope.15808.1

Merging cross-border flow optimization techniques for performance maximization

Open Res Eur. 2023 Sep 26:3:161. doi: 10.12688/openreseurope.15808.1. eCollection 2023.

Authors

Anastasis Tzoumpas¹, Alvaro Nofuentes², Catherine Winning³, Mark Norton³, Zhehan Zhao³, Magda Zafeiropoulou¹, Athanasios Bachoumis¹, Dusan Vlaisavljevic⁴, Branko Lekovic⁴

Affiliations

¹ UBITECH ENERGY, Brussels, Belgium.
² ETRA I+D, Valencia, Spain.
³ SMART WIRES, Dublin, Ireland.
⁴ EKC, Belgrade, Serbia.

Abstract

Both FARCROSS and TRINITY EU research projects aim to increase cross-border electricity flow and regional cooperation. The integration of SmartValve and T-SENTINEL systems offers benefits such as enhancing grid security and reliability, managing thermal constraints, and maximizing utilization of existing infrastructure. The combined system can achieve a more efficient and less costly coordinated network security process, increase cross-border capacities, and promote regional electricity market integration, benefiting the local communities with significant CO2 emissions avoidance and reduced electricity prices. Overall, the integration of SmartValve and T-SENTINEL can provide significant improvements in flexibility, making cross-border connections more robust and adaptive to the evolution of the electrical power industry.

Keywords: FARCROSS; Modular Power Flow Controller; Remedial Action Optimization; SmartValve; Static Synchronous Series Compensator; T-SENTINEL; TRINITY; cross-border flow optimization techniques.

Grants and funding

The TRINITY project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 863874. The FARCROSS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 864274.