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Optimal Performance and Modeling of Wireless Technology Enabling Smart Electric Metering Systems Including

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This study optimizes wireless routing for intelligent energy metering in microgrids using heuristic algorithms. The developed model effectively determines optimal network topology and performance for smart grid applications.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Network Optimization

Background:

  • Intelligent energy metering systems are crucial for modern smart grids.
  • Microgrids require robust and efficient wireless communication for reliable operation.
  • Optimal routing is essential for managing data flow and ensuring network performance.

Purpose of the Study:

  • To analyze the performance of wireless technologies for intelligent energy metering within microgrids.
  • To develop an optimization model for determining the best wireless technology and network topology.
  • To ensure effective user connectivity and optimal routing in a geo-referenced scenario.

Main Methods:

  • A geo-referenced scenario was modeled as a graph for heuristic-based algorithm application.
  • Network topology was established with nodes and vertices, considering capacity and range constraints.
  • Wireless network simulation was used to verify topology and infrastructure performance.

Main Results:

  • The optimization model effectively determined optimal routing and user connectivity for intelligent energy metering.
  • The study identified the best wireless technology suitable for the specific geographical location and constraints.
  • Simulations confirmed the effectiveness of the developed model in verifying network performance.

Conclusions:

  • The proposed optimization model demonstrates effectiveness in performance analysis and optimal routing for wireless intelligent energy metering in microgrids.
  • The methodology provides a framework for selecting appropriate wireless technologies based on capacity and range.
  • The findings contribute to the development of more efficient and reliable smart grid communication infrastructures.