Dynamic Grid Partitioning for Multi-Voltage Network State Estimation
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Solution Overview
Problem
Current network control systems for electrical energy networks struggle to accurately determine and predict the state of the network, especially under dynamic conditions and varying weather influences, due to the integration of renewable energy sources and the lack of synchronization between different voltage levels, leading to inefficiencies in control and management.
Innovation Solution
A computer-implemented method for network analysis that dynamically partitions the electrical energy network into transmission and distribution networks using a network partition data set, allowing for improved state estimation and considering dynamic topology changes, which enables more accurate power flow calculations and fault detection across all voltage levels using a unified data model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized network control system processes all measurement data and control commands centrally, then the system can maintain high availability and reliability, but the complexity of the control system increases and adaptability to dynamic network conditions deteriorates
Solution Approach 1:
The patent divides the electrical energy network into multiple voltage levels (high-voltage transmission network and low-voltage distribution network) and processes each level separately with appropriate algorithms. This segmentation reduces the complexity of the centralized control system while maintaining reliability by allowing independent optimization for each network level.
2Device complexity
If static network partitioning is used between transmission and distribution networks, then the control system structure is simplified, but the accuracy of state estimation deteriorates under dynamic topology changes
Solution Approach 1:
The patent implements dynamic network partitioning that automatically adapts to changing network topology conditions. The system determines whether to partition the network into transmission and distribution sections based on real-time switching states and operational conditions, rather than using fixed static partitions. This dynamic approach maintains state estimation accuracy while keeping the control system structure manageable.
3Productivity
If separate control algorithms are used for transmission and distribution networks, then the computational efficiency is improved, but the synchronization between different voltage levels deteriorates
Solution Approach 1:
The patent employs feedback mechanisms where the state estimation results from one voltage level inform and coordinate the control actions at other voltage levels. The system continuously monitors the network state and adjusts control commands across different voltage levels to maintain synchronization, while still allowing separate optimized algorithms to run for each level, thus preserving computational efficiency.
4Ease of operation
If the network control system operates without considering dynamic topology changes, then the system operation is simpler, but the predictive calculation accuracy deteriorates
Solution Approach 1:
The patent performs preliminary determination of network partitioning based on expected operational conditions and switching states before executing state estimation and predictive calculations. By pre-establishing the appropriate network partition configuration based on forecasted topology changes, the system maintains operational simplicity while improving predictive accuracy, as the calculation algorithms are already optimized for the anticipated network structure.
Data Source
AI summary
A computer-implemented method for a network analysis of an electrical energy network having at least one energy transmission network and at least one energy distribution network. The at least one energy transmission network has a higher rated voltage than the at least one energy distribution network. The method includes: determining a network state by use of a network analysis arrangement, taking into account a network partition data set, wherein the network partition data set provides an assignment of lines and/or equipment to the at least one energy transmission network and the at least one energy distribution network. Before a determination of the network state, by use of a network partitioning device based on a topology data set of the electric energy network, the electrical energy network is partitioned into the at least one energy transmission network and the at least one energy distribution network in the network partition data set.