D
Davor Škrlec
Researcher at University of Zagreb
Publications - 55
Citations - 1706
Davor Škrlec is an academic researcher from University of Zagreb. The author has contributed to research in topics: Genetic algorithm & Vehicle routing problem. The author has an hindex of 14, co-authored 55 publications receiving 1522 citations.
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Supervisory Control of an Adaptive-Droop Regulated DC Microgrid With Battery Management Capability
TL;DR: In this paper, a double-layer hierarchical control strategy was proposed to overcome the control challenge associated with coordination of multiple batteries within one stand-alone microgrid, where the unit-level primary control layer was established by an adaptive voltage-droop method aimed to regulate the common bus voltage and to sustain the states of charge (SOCs) of batteries close to each other during moderate replenishment.
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Advanced LVDC Electrical Power Architectures and Microgrids: A step toward a new generation of power distribution networks.
TL;DR: In this paper, the authors proposed a dc-DC-DC converter to realize power quality independence from the utility mains by merging renewable energy sources (RESs) into dedicated dc distribution architectures through corresponding dc-dc converters.
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Review of energy storage allocation in power distribution networks: applications, methods and future research
TL;DR: In this article, the authors provide a comprehensive overview of the current research on ESS allocation (ESS sizing and siting), giving a unique insight into issues and challenges of integrating ESS into distribution networks and thus giving framework guidelines for future ESS research.
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Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility
Tomislav Dragicevic,Hrvoje Pandžić,Davor Škrlec,Igor Kuzle,Josep M. Guerrero,Daniel S. Kirschen +5 more
TL;DR: In this article, a robust optimization approach to minimize the total cost of supplying a remote telecommunication station exclusively by renewable energy sources (RES) is described. But the authors focus on minimizing the number of cycles and associated depths of discharges (DoD).
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Distributed generation allocation based on average daily load and power production curves
TL;DR: In this paper, the optimal allocation of three types of distributed generation units with a goal of minimizing cumulative average daily active power losses is discussed, and the problem is solved using genetic algorithm, and realized in Matlab programming environment.