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

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.