Electrical Network Supervision With Virtual State Reconfiguration
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Solution Overview
Problem
Current electrical network supervision methods do not adequately account for the electrical state of the distribution network and lack network reconfiguration strategies, leading to inefficient energy management and potential damage to the network infrastructure, especially with the increasing integration of renewable energy sources and electric vehicles.
Innovation Solution
A method and device for supervising an electrical system that acquires and processes voltage, current, and power data from various levels of the network, including high to medium and medium to low voltage transformers, local energy sources, and electrical loads, using remote reading means and artificial intelligence to calculate and apply supervision instructions for power modulation and network reconfiguration, ensuring safe operation within the network's operating domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the distribution network is reinforced by increasing the number and dimensions of lines and electrical substations, then the network capacity and reliability are improved, but the cost and environmental impact increase significantly
Solution Approach 1:
The patent implements dynamic network reconfiguration by continuously adjusting the topology of the distribution network based on real-time operational conditions, load patterns, and renewable energy generation. This dynamic approach allows the network to adapt its structure optimally without requiring permanent infrastructure expansion, thereby maintaining reliability while avoiding the costs associated with building additional lines and substations.
Solution Approach 2:
The system changes operational parameters such as switching states, power flow directions, and network topology configurations to optimize performance. By modifying these parameters dynamically, the network can handle increased loads and integrate renewable energy sources without physical expansion, thus improving capacity while controlling infrastructure costs.
2Productivity
If distributed energy resources are integrated into the distribution network, then renewable energy utilization is improved, but the network stability and control difficulty worsen
Solution Approach 1:
The patent employs a supervisory control system that continuously monitors the electrical state of the distribution network, including voltage, current, power flow, and renewable energy generation. This real-time feedback enables the system to detect deviations from optimal operation and automatically adjust network configuration and control parameters to maintain stability, thereby allowing high levels of renewable energy integration without compromising reliability.
Solution Approach 2:
The system performs preliminary assessments and simulations of network reconfiguration scenarios before implementing changes. By evaluating potential configurations in advance and selecting those that maintain stability, the system can integrate distributed energy resources effectively while preventing instability issues before they occur.
3Productivity
If dynamic control of distributed energy resources is implemented, then energy management efficiency is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal supervisory control platform that handles multiple functions including monitoring, analysis, decision-making, and execution of control actions. This multi-functional system consolidates various control tasks into a single integrated platform, improving energy management efficiency while avoiding the complexity of multiple separate systems through functional integration.
4Adaptability or versatility
If network reconfiguration strategies are integrated, then network flexibility and adaptability are improved, but the control complexity and operation difficulty increase
Solution Approach 1:
The patent implements an automated supervisory control system that performs network reconfiguration autonomously based on pre-defined optimization criteria and real-time conditions. The system automatically analyzes the electrical state, determines optimal configurations, executes switching operations, and verifies results without requiring manual intervention. This self-service approach maintains high network flexibility while eliminating operational complexity for human operators.
Data Source
Figure 1~2
AI summary
The invention relates to a method for supervising an electrical system (100) comprising loads (1062, 1064), a network (108) and sources (110), the loads being connected to the network via a high-to-medium voltage transformer (1042, 1044, 1046) which is supplied by at least one transformer (1022, 1024) and at least one local source (110), the method comprising data acquisitions at different points of the system, and a calculation of supervision setpoints from acquired data, the method further comprising a step prior to an application of the setpoints, said prior step comprising a calculation of a virtual state of the electrical system at a later time from a digital model at the current time and a digital application of the supervision setpoints to the digital model, and a verification that the virtual state belongs to the network operating domain, in which case the setpoints are applied, and otherwise a modification of the setpoints and recalculation of the virtual state from the modifications.