Cyber-Physical Microgrid System for Power Theft Detection
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Solution Overview
Problem
Power theft detection and reporting on micro power grids are costly and energy-intensive, particularly in developing countries, due to the need for continuous monitoring and communication across distributed intelligent processing nodes, which can lead to sustainability issues and network latency.
Innovation Solution
A cyber-physical system comprising smart meters, micro electricity managers, and wireless switchboards, connected through sensors and communication networks, dynamically manages energy usage by classifying equipment based on load and usage patterns, optimizing power supply and reducing communication hops to minimize power theft detection costs and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring and communication across distributed intelligent processing nodes is implemented for power theft detection, then power theft detection capability is improved, but power consumption and network costs increase
Solution Approach 1:
The patent implements periodic monitoring cycles where intelligent processing nodes alternate between active monitoring states and low-power sleep states. Power theft detection is performed at scheduled intervals rather than continuously, allowing nodes to remain in sleep mode during non-critical periods while maintaining detection capability when activated. This periodic action significantly reduces power consumption while preserving essential detection functionality.
Solution Approach 2:
The system dynamically adjusts monitoring intensity and communication frequency based on grid conditions, historical theft patterns, and current power availability. Intelligent processing nodes can transition between different operational modes (high-monitoring, low-monitoring, sleep) depending on real-time requirements, optimizing the balance between detection reliability and energy consumption.
2Reliability
If distributed intelligent processing nodes remain in on state for longer wake periods to handle communications load, then communication reliability is improved, but available energy on the grid decreases
Solution Approach 1:
Communication operations are scheduled in periodic bursts rather than continuous transmission. Intelligent processing nodes activate for scheduled communication windows to exchange data and coordinates, then return to sleep mode. This periodic communication approach maintains necessary network connectivity while minimizing energy consumption compared to continuous operation.
3Adaptability or versatility
If multi-hop data messages are handled on the administrative portion of the grid, then data routing flexibility is improved, but network latency increases
Solution Approach 1:
The system pre-establishes communication routes and coordinates data transmission paths before actual data needs to be sent. Intelligent processing nodes maintain pre-computed routing information and can quickly activate predetermined communication paths, reducing the time required for multi-hop message handling while preserving routing flexibility.
Data Source
AI summary
A system for optimal power utilization and supply strategy in a microgrid has a smart meter connected to a micro grid, at least one micro electricity manager connected to the smart meter, at least one wireless switch board connected to the micro electricity manager, and at least one intelligent device connected to said micro electricity manager. The system for optimal power utilization and supply strategy is configured as a cyber-physical system capable of dynamic energy management to minimize mismatch between electricity demand and generation.