EPE Association: EPE 2025 - LS2c: Smart grids and renewable energy

EPE 2025 - LS2c: Smart grids and renewable energy
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 02: Smart Grids and Renewable Energy > EPE 2025 - LS2c: Smart grids and renewable energy

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   Application of Jellyfish Search Algorithm_ for Reactive Power Planning-based Power Losses Minimization in Electrical Power Networks
By Sultan HAKMI [View]
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Abstract: This study investigates the application of the Jellyfish Search Optimization (JFSO) algorithm for Reactive Power Planning (RPP) to minimize power losses in electrical power networks. The RPP problem is formulated as a multiobjective optimization task that seeks to reduce active power losses and minimize the investment costs of reactive power compensators. The performance of the JFSO algorithm is benchmarked against Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms on the IEEE 30-bus test system under two case studies: (1) minimizing active power losses alone and (2) minimizing both losses and investment costs. For minimizing the losses in Case 1, JFSO reduced power losses from an initial 5.6 MW with 18.2\% reduction, compared to 16.8\% for DE and 11.0\% for PSO. In Case 2, JFSO minimized the total costs to $2,391,466/year, outperforming DE and PSO, which resulted in $2,435,863/year and $2,629,826/year, respectively. The findings demonstrate that JFSO offers superior optimization performance with enhanced convergence properties. By effectively balancing investment and operational costs, the proposed algorithm provides a robust solution for efficient RPP.

   Off-Grid Wind Energy Conversion System with Supercapacitor-Assisted Control for Optimal Green Hydrogen Production
By Eduardo RAUSELL, Gustavo NAVARRO, Santiago ARNALTES, Marcos BLANCO, Marcos LAFOZ, Jorge NÁJERA, Valentín URDA [View]
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Abstract: This paper presents and validates a novel control strategy for directly integrating wind energy conversion systems (WECSs) with electrolyzers (ELZs) in off-grid systems maximizing electrical power and hydrogen production. The study builds on previous research that directly integrates WECSs with ELZs, eliminating the need for energy storage systems by using the ELZ as a controllable load, managed through maximum power point tracking (MPPT). Although this approach has shown effective results, it also led to significant current fluctuations in the ELZ. The new contribution of this study is the integration of supercapacitors (SCs) and modification of the control to smooth current fluctuations in the ELZ, reducing its degradation and improving operational efficiency. Simulations demonstrate the effectiveness of this control strategy, showing enhanced power management and reduced current peaks as SCs absorb power surges. This reduces ELZ cycling and degradation, extending its lifespan and offering a possible cost-effective solution for green hydrogen production in remote or offshore locations.

   Real-Time Power Loss Optimized Operationof a Solid State Transformer by Utilizing the Common-Mode Voltage
By Tobias MERZ, Nikolas MENGER, Max-Emanuel SIEGEMUND, Rüdiger SCHWENDEMANN, Marc HILLER [View]
[Download]

Abstract: This article presents a general methodologyand a real-time solvable, analytical model for reducing thetotal losses of the cells of a Solid-State Transformer (SST).The efficiency is increased with the usage of the onlineoptimized common-mode voltage u\_CM. Measurements ona 400VAC to 750VDC, 45kW SST test bench verify thecalculation results and the operating principle of thealgorithm. A loss reduction of up to 20\% is possiblewithout introducing additional restrictions to the SST.

EPE 2025 - LS2c: Smart grids and renewable energy
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 02: Smart Grids and Renewable Energy > EPE 2025 - LS2c: Smart grids and renewable energy
	[return to parent folder]

	Application of Jellyfish Search Algorithm_ for Reactive Power Planning-based Power Losses Minimization in Electrical Power Networks By Sultan HAKMI	[View] [Download]
Abstract: This study investigates the application of the Jellyfish Search Optimization (JFSO) algorithm for Reactive Power Planning (RPP) to minimize power losses in electrical power networks. The RPP problem is formulated as a multiobjective optimization task that seeks to reduce active power losses and minimize the investment costs of reactive power compensators. The performance of the JFSO algorithm is benchmarked against Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms on the IEEE 30-bus test system under two case studies: (1) minimizing active power losses alone and (2) minimizing both losses and investment costs. For minimizing the losses in Case 1, JFSO reduced power losses from an initial 5.6 MW with 18.2\% reduction, compared to 16.8\% for DE and 11.0\% for PSO. In Case 2, JFSO minimized the total costs to $2,391,466/year, outperforming DE and PSO, which resulted in $2,435,863/year and $2,629,826/year, respectively. The findings demonstrate that JFSO offers superior optimization performance with enhanced convergence properties. By effectively balancing investment and operational costs, the proposed algorithm provides a robust solution for efficient RPP.

	Off-Grid Wind Energy Conversion System with Supercapacitor-Assisted Control for Optimal Green Hydrogen Production By Eduardo RAUSELL, Gustavo NAVARRO, Santiago ARNALTES, Marcos BLANCO, Marcos LAFOZ, Jorge NÁJERA, Valentín URDA	[View] [Download]
Abstract: This paper presents and validates a novel control strategy for directly integrating wind energy conversion systems (WECSs) with electrolyzers (ELZs) in off-grid systems maximizing electrical power and hydrogen production. The study builds on previous research that directly integrates WECSs with ELZs, eliminating the need for energy storage systems by using the ELZ as a controllable load, managed through maximum power point tracking (MPPT). Although this approach has shown effective results, it also led to significant current fluctuations in the ELZ. The new contribution of this study is the integration of supercapacitors (SCs) and modification of the control to smooth current fluctuations in the ELZ, reducing its degradation and improving operational efficiency. Simulations demonstrate the effectiveness of this control strategy, showing enhanced power management and reduced current peaks as SCs absorb power surges. This reduces ELZ cycling and degradation, extending its lifespan and offering a possible cost-effective solution for green hydrogen production in remote or offshore locations.

	Real-Time Power Loss Optimized Operationof a Solid State Transformer by Utilizing the Common-Mode Voltage By Tobias MERZ, Nikolas MENGER, Max-Emanuel SIEGEMUND, Rüdiger SCHWENDEMANN, Marc HILLER	[View] [Download]
Abstract: This article presents a general methodologyand a real-time solvable, analytical model for reducing thetotal losses of the cells of a Solid-State Transformer (SST).The efficiency is increased with the usage of the onlineoptimized common-mode voltage u\_CM. Measurements ona 400VAC to 750VDC, 45kW SST test bench verify thecalculation results and the operating principle of thealgorithm. A loss reduction of up to 20\% is possiblewithout introducing additional restrictions to the SST.