Adaptive Zonal Protection Using Local ML Fault Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional protection systems in electric grids lack intelligence to adapt to changing conditions, particularly with high penetration of distributed energy resources, leading to potential instability and unwanted events like sympathetic tripping, and are vulnerable to communication failures.
Innovation Solution
The introduction of Local Adaptive Modular Protection (LAMP) units, which operate in parallel with conventional systems, utilize machine learning algorithms like SVM for real-time fault detection and zone classification, eliminating the need for regular setting adjustments and providing backup protection without relying on communication infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional protection systems with fixed relay settings are used, then the system is simple to operate, but it cannot adapt to changing system conditions with high DER penetration, leading to reduced reliability
Solution Approach 1:
The protection system transitions from fixed relay settings to dynamic, adaptive settings that automatically adjust based on real-time system conditions. LAMP units continuously monitor system parameters and modify protection characteristics online, enabling the system to adapt to changing DER penetration levels, circuit topologies, and operating conditions without manual intervention.
Solution Approach 2:
The LAMP units enable the protection system to self-adjust and self-optimize by automatically detecting system conditions and modifying relay settings without requiring external control or manual configuration. The system performs self-diagnosis and self-tuning, eliminating dependency on communication infrastructure and external control centers.
2Adaptability or versatility
If centralized adaptive protection schemes are implemented, then protection adaptability improves, but the system becomes vulnerable to communication failures and cyber-attacks
Solution Approach 1:
The centralized adaptive protection scheme is segmented into distributed LAMP units that operate autonomously at local levels. Each LAMP unit independently monitors and adapts protection settings for its specific zone, eliminating dependency on centralized communication infrastructure. This segmentation provides resilience against communication failures and cyber-attacks while maintaining adaptive protection capabilities.
Solution Approach 2:
The LAMP units serve as intermediary devices between the primary protection relays and the external control system. They locally process system conditions and generate adaptive settings, acting as a buffer that eliminates the need for direct communication with centralized control centers, thereby protecting the system from communication vulnerabilities.
3Device complexity
If fixed relay settings are used, then device complexity is low, but measurement precision for fault detection under varying system conditions deteriorates
Solution Approach 1:
The LAMP units dynamically change protection parameters such as relay pickup settings, time delays, and discrimination characteristics based on real-time system conditions. This includes adjusting settings for different DER penetration levels, load conditions, and circuit topologies, thereby maintaining high fault detection precision across varying operating scenarios without requiring complex manual configuration.
4Ease of operation
If conventional protection systems are used, then the system is easy to operate, but selectivity and sensitivity are compromised under reverse power flow conditions
Solution Approach 1:
The LAMP units automatically detect reverse power flow conditions and self-adjust protection settings to maintain proper selectivity and sensitivity. The system performs self-diagnosis of power flow directions and autonomously modifies relay characteristics without requiring operator intervention, thereby maintaining both ease of operation and high reliability under varying power flow conditions.
Data Source
AI summary
A system, device and method that provides for the addition of Local Adaptive Modular Protection (LAMP) units to the protection system to guarantee its reliable operation under extreme events when the operation of the APS is compromised.