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Summary

Denis Mende’s presentation on “Challenges in Power System Operation” provides a comprehensive exploration of the complexities involved in managing operational congestion within power systems. With a focus on leveraging mathematical optimization techniques, Mende discusses key challenges, methodologies, and outcomes associated with optimizing power system operations amidst the growing integration of renewable energy sources.

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Challenges

The increasing adoption of renewable energy sources poses significant challenges for power system operators, including managing grid congestion, fluctuating demand, and integrating new infrastructure like HVDC systems and offshore generation. Regulatory changes and decentralized power generation further complicate grid management, necessitating innovative optimization solutions to ensure efficiency and stability.

Solution

Mende advocates for a multi-faceted approach centered around mathematical optimization techniques to address these challenges. By modeling the power system and its flexibilities, operators can develop optimization functions that enhance efficiency and grid stability. Integration with AI and machine learning enables data-driven insights for proactive grid management and decision support.

Results

Through practical examples, Mende illustrates the efficacy of optimization in power system operation. Optimization strategies improve congestion management, assess system flexibility, and reduce grid losses, thereby enhancing overall security and operational efficiency. These solutions seamlessly integrate into existing operational workflows, enabling quicker decision-making and adaptive management in dynamic energy environments. Despite ongoing challenges like nonlinear problem structures, advancements in optimization techniques promise continued innovation and resilience in power system operations.

Denis Mende concludes by emphasizing the pivotal role of mathematical optimization in navigating the complexities of power system operation amidst the energy transition. By leveraging optimization methodologies, operators can effectively manage the integration of renewable energy sources while ensuring reliable and efficient grid performance. As the energy landscape evolves, optimization remains essential for driving innovation and shaping a sustainable future for power systems.

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Denis Mende

Group lead
Fraunhofer IEE

Denis Mende

Group lead
Fraunhofer IEE

Denis Mende studied electrical power engineering at the University of Kassel in a dual study scheme with SMA Solar Technology AG. From 2011 on, he worked there as a systems engineer for grid integration. He joined Fraunhofer IEE in 2015 and completed his PhD in the field of mathematical optimization of operational congestion management at Leibniz Universität Hannover. Since 2021, he leads the research group “Methods for Optimized Grid Operation” in joint cooperation with the University of Kassel. His research focuses on innovative operation of energy grids with a high share of renewable generation.

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