Micro-grid Reconstruction via Segmented Control Zones
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Solution Overview
Problem
Modern power systems require advanced methods for the safe and efficient operation of micro-grids to enhance automation and intelligence, as existing grid protection control systems are inadequate for flexible protection and control in wide-area grids.
Innovation Solution
A micro-grid reconstruction method that involves real-time monitoring, data storage, analysis of operating states, and determination of control schemes using optimization models and artificial intelligence to adjust device operating states and topological structures, enabling flexible and automated operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional grid protection control systems are used, then system simplicity is maintained, but flexibility and intelligence of protection and control deteriorate
Solution Approach 1:
The system segments the micro-grid into multiple controllable zones or regions, allowing independent protection and control strategies for each segment. This enables flexible response to local conditions while maintaining overall system coordination, resolving the contradiction between system flexibility and complexity by organizing control functions into modular segments.
Solution Approach 2:
The protection control system transitions from static, pre-configured settings to dynamic, real-time adjustment based on operating conditions. The system continuously monitors grid state and adapts control parameters dynamically, providing flexibility without requiring complex manual reconfiguration, thus resolving the contradiction between adaptability and system complexity.
2Extent of automation
If real-time monitoring and data analysis are implemented, then operation intelligence is improved, but system complexity increases
Solution Approach 1:
The system implements self-service through automated monitoring, analysis, and control functions that operate autonomously without requiring extensive human intervention. Intelligent agents or algorithms continuously analyze operational data and execute control decisions automatically, enhancing automation while managing complexity through self-managing capabilities rather than complex external control mechanisms.
Solution Approach 2:
The system establishes continuous feedback loops where operational data is monitored, analyzed, and used to automatically adjust control parameters. Real-time feedback mechanisms enable the system to self-correct and optimize performance dynamically, improving intelligence through data-driven automation while keeping the control architecture manageable through closed-loop rather than open-loop complexity.
3Reliability
If flexible reconstruction of micro-grid topology is performed, then power supply reliability is improved, but control complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing optimal topology configurations for various operational scenarios and fault conditions. When events occur, the system rapidly switches to pre-determined configurations rather than calculating optimal topologies in real-time, improving reliability through rapid response while managing control complexity by shifting computational burden to offline preparation phases.
Solution Approach 2:
The system manages topology complexity by changing operational parameters such as switching states, connection configurations, and control modes rather than fundamentally redesigning the control architecture. Flexible reconstruction is achieved through parameter adjustment within an established framework, improving reliability through adaptive reconfiguration while keeping the underlying control system structure manageable and standardized.
Data Source
AI summary
Provided in embodiments of the present invention are a micro-grid reconstruction method and device, a micro-grid protection and control center and a storage medium. The method includes: monitoring and acquiring current operating data of a micro-grid in real-time; storing the acquired current operating data and corresponding time stamp information in a database; analyzing an operating state of the micro-grid based on the operating data and the corresponding time stamp information that are stored in the database; and determining a current control scheme for the micro-grid according to a current analysis result, and reconstructing the micro-grid according to the current control scheme. The technical solution mentioned above realizes flexible protection and control of the micro-grid and improves the operating automation and intelligence of a system.