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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Related Experiment Video

Updated: Mar 8, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Dynamic Voltage Frequency Scaling Simulator for Real Workflows Energy-Aware Management in Green Cloud Computing.

Iván Tomás Cotes-Ruiz1, Rocío P Prado1, Sebastián García-Galán1

  • 1Telecommunication Engineering Department, University of Jaén, Science and Technology Campus, Linares, Spain.

Plos One
|January 14, 2017
PubMed
Summary

This study introduces an enhanced WorkflowSim simulator for energy-efficient data centers. It optimizes workflow management using Dynamic Voltage Frequency Scaling (DVFS) for significant power and time savings.

Related Experiment Videos

Last Updated: Mar 8, 2026

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Area of Science:

  • Cloud computing
  • Data center sustainability
  • Scientific workflow management

Background:

  • Growing computational demands require energy-efficient data centers for sustainability and profitability.
  • Effective resource management and workload adaptation are crucial for energy-aware data centers.
  • Managing energy consumption in scientific workflows remains a challenge.

Purpose of the Study:

  • To present a power-aware extension of the WorkflowSim simulator.
  • To enable optimization of energy-saving strategies in data centers.
  • To integrate Dynamic Voltage Frequency Scaling (DVFS) for intra-host energy saving.

Main Methods:

  • Developed a power model incorporating computing and communication costs.
  • Integrated a wide range of DVFS governors for energy management.
  • Extended WorkflowSim to simulate energy-aware workflow processing.

Main Results:

  • Demonstrated the simulator's validity in resource utilization, frequency/voltage scaling, and power/energy/time savings.
  • Evaluated the effectiveness of intra-host DVFS strategies with different governors.
  • Compared intra-host DVFS with inter-host DVFS scheduling strategies.

Conclusions:

  • The enhanced WorkflowSim effectively simulates and optimizes energy-saving strategies for scientific workflows.
  • Intra-host DVFS, with various governors, shows significant potential for data center energy efficiency.
  • The tool facilitates research into advanced energy management techniques for cloud computing environments.