Load Control Device for Power Grid Overload Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing energy transmission systems face significant challenges in managing large numbers of energy producers and consumers, leading to considerable simulation and computing effort, and often cannot avoid overloading local power grids, despite efforts to optimize energy flow and power plant control.
Innovation Solution
An energy transmission system equipped with a load control device that can monitor and control energy consumption across multiple local line networks, allowing for the reallocation of energy consumption to prevent overloading by reducing consumption in overloaded networks and increasing it in non-overloaded ones, thereby stabilizing the higher-level energy transmission network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulation and active load control of all consumers are implemented, then energy flow optimization and power plant control improve, but simulation and computing effort increase considerably
Solution Approach 1:
The system segments consumers into two categories: large consumers that are explicitly simulated and controlled, and small consumers that are aggregated into equivalent load models. This segmentation allows the system to optimize energy flow for significant loads while avoiding the computational burden of individually modeling every consumer, thus resolving the contradiction between optimization reliability and computing effort.
Solution Approach 2:
The patent applies partial action by selectively applying detailed simulation and control only to large consumers whose impact on the energy transmission system is significant. Small consumers are handled through aggregated models, providing sufficient control without the excessive computing effort that would result from detailed modeling of all consumers.
2Productivity
If detailed simulation of all consumers is performed, then optimal energy flow control improves, but computing time and resources increase
Solution Approach 1:
By segmenting consumers into large and small categories with different modeling approaches, the system achieves optimal energy flow control for the most impactful loads while significantly reducing computing time through aggregated models for less critical consumers.
Solution Approach 2:
The patent changes the modeling parameters for different consumer categories: detailed parameters for large consumers and aggregated equivalent parameters for small consumers. This parameter differentiation maintains control accuracy where needed while reducing computational complexity elsewhere.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a power transmission system (10) having at least two local grids (40, 41) which are each connected to loads (50-52, 53-55) and are connected to a higher-level power transmission network (30). According to the invention the power transmission system (10) has at least one load control unit (60), each of which is connected directly or indirectly to at least one load (50-54) of the at least two local grids (40, 41) and is suitable for controlling the consumption of said loads (50-54), and moreover the load control unit (60) is suitable for evaluating the load state of the at least two local grids (40, 41) and, in the event of an overload which has occurred or is imminent on one of the at least two local grids (40), for reducing the consumption of at least one load (50, 51) of said local grid (40) and conversely for increasing the consumption of at least one load (53) in one of the other local grids (41), which is not overloaded, of the at least two local grids.