Under-Frequency Load Shedding via Intelligent Electronic Devices
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Solution Overview
Problem
Electric power delivery systems face challenges in managing under-frequency conditions, leading to potential blackouts due to power imbalances, which existing technologies struggle to address effectively.
Innovation Solution
Intelligent Electronic Devices (IEDs) are employed to monitor and control the power system by disconnecting selective loads when an under-frequency threshold is crossed, using under-frequency load shedding techniques to rebalance the system and mitigate negative effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If under-frequency load shedding is implemented to prevent blackouts, then system reliability is improved, but device complexity increases due to the need for wide-area monitoring and coordination systems
Solution Approach 1:
The system divides the power grid into multiple sub-grids and implements load shedding in a segmented, coordinated manner. Each IED monitors its local area while the central controller coordinates actions across sub-grids, breaking down the complex wide-area problem into manageable local segments that work together
Solution Approach 2:
A central controller acts as an intermediary between distributed IEDs and the overall power system. The central controller receives frequency data from multiple IEDs, processes the information, and coordinates load shedding actions across the system, reducing the complexity burden on individual devices
2Stability of the object's composition
If selective load disconnection is performed to rebalance the power system, then power balance is improved, but loss of time increases due to the detection and coordination process
Solution Approach 1:
The system pre-configures load shedding schemes and thresholds before under-frequency events occur. When frequency deviations are detected, pre-programmed load disconnection sequences are executed immediately, eliminating the time required for real-time decision-making and coordination during critical events
Solution Approach 2:
The system implements rapid detection and immediate load disconnection actions to quickly pass through the critical under-frequency period. By skipping lengthy coordination delays and executing pre-planned load shedding sequences, the system rushes through the unstable frequency period and restores balance faster
Data Source
AI summary
A system for managing an electric power delivery system is disclosed that includes a set of remote intelligent electronic devices (IEDs) and a central IED. The remote IEDs may be configured to obtain information related to operating frequencies and power consumption levels loads included in the electric power delivery system. The central IED may communicate with the remote IEDs to determine which loads are associated with a sub-grid of the electric power delivery system and whether to disconnected certain loads. Based on this determination, the central IED may direct the remote IEDs to disconnect loads from the electric power delivery system.