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Maximum Power Transfer01:16

Maximum Power Transfer

379
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
379
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

275
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
275
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

175
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.
175

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Related Experiment Video

Updated: Sep 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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654

Multiple Concurrent Slotframe Scheduling for Wireless Power Transfer-Enabled Wireless Sensor Networks.

Sol-Bee Lee1, Sam Nguyen-Xuan2, Jung-Hyok Kwon3

  • 1Division of Software, Hallym University, 1 Hallymdaehak-gil, Chuncheon 24252, Gangwon-do, Korea.

Sensors (Basel, Switzerland)
|June 24, 2022
PubMed
Summary

This study introduces a new protocol for wireless sensor networks that efficiently manage power and data transmission. The Multiple Concurrent Slotframe Scheduling (MCSS) protocol enhances performance in wireless power transfer networks.

Keywords:
IEEE 802.15.4 TSCHenergy harvestingmultiple concurrent slotframesslotframe length determinationwireless power transferwireless sensor network

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Area of Science:

  • Wireless Sensor Networks
  • Wireless Power Transfer
  • Network Protocols

Background:

  • Wireless sensor networks (WSNs) require efficient energy and data management.
  • Existing protocols struggle with heterogeneous devices and mixed traffic types in WSNs.
  • Wireless Power Transfer (WPT) integration presents unique scheduling challenges.

Purpose of the Study:

  • To propose a novel Multiple Concurrent Slotframe Scheduling (MCSS) protocol.
  • To optimize resource allocation for WPT-enabled WSNs with hybrid access points (HAPs) and sensor nodes.
  • To support diverse traffic including power, data, and control messages (CMs).

Main Methods:

  • Defined three Time-Slotted Channel Hopping (TSCH) concurrent slotframes: CM, HAP, and WPT slotframes.
  • Ensured mutually prime slotframe lengths to minimize cell overlap.
  • Optimized WPT slotframe length considering energy harvesting and data transmission needs.

Main Results:

  • MCSS demonstrated superior performance compared to legacy TSCH and TMSS protocols.
  • Achieved lower average end-to-end delay.
  • Improved aggregate throughput and average harvested energy.

Conclusions:

  • MCSS effectively manages resources in WPT-enabled WSNs.
  • The protocol enhances overall network efficiency and performance.
  • MCSS offers a promising solution for future WSN deployments.