Dynamic Electric Transfer Capacity Rating System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The transition to a deregulated energy marketplace has increased the demand and strain on electric power transmission facilities, leading to power outages and curtailments due to unpredictable energy demand spikes and overtaxed transmission lines, necessitating a system that can accurately simulate and dynamically compute electric transfer capacity ratings considering various factors.
Innovation Solution
A computer-based system that includes a processor, capability datastore, and external factors datastore, which communicate to optimize electric loading transfer capabilities by determining electrical transfer capabilities as a function of time and correlating them with various variables such as weather conditions and material characteristics to generate real-time electric capacity ratings for electric power facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If electric power transmission facilities operate at higher capacity to meet increased demand, then productivity increases, but reliability deteriorates due to overtaxed transmission lines and power outages
Solution Approach 1:
The system dynamically adjusts electric capacity ratings in real-time based on changing environmental conditions (temperature, wind speed, humidity) and system state, allowing transmission facilities to operate at optimized capacity levels that adapt to current conditions rather than using static ratings, thereby improving both productivity and reliability
Solution Approach 2:
The system continuously monitors environmental parameters and system performance, using this feedback to recalculate and adjust capacity ratings, enabling operators to respond to changing conditions and prevent overloading that would compromise reliability while maximizing transmission capacity
2Device complexity
If static capacity ratings are used for transmission facilities, then device complexity is reduced, but loss of information increases due to inability to account for changing environmental conditions
Solution Approach 1:
The system replaces traditional mechanical/static rating determination methods with computational algorithms that process environmental data and calculate dynamic ratings, substituting physical measurement and manual adjustment with automated information processing while capturing comprehensive environmental condition information
3Measurement precision
If dynamic capacity rating computation is implemented to account for environmental factors, then measurement precision improves, but device complexity increases due to multiple datastores and processing requirements
Solution Approach 1:
The system segments the capacity rating computation into distinct functional components stored in separate datastores (environmental conditions datastore, capacity ratings datastore, system state datastore), allowing each component to be independently managed and processed, which improves measurement precision while organizing complexity into manageable modules
Data Source
AI summary
A method and system is provided for determining and optimizing electric transfer capacities of electric power system facilities. A processor receives and stores information that is used to compute the quantity of electric power that can flow through one or more electric power facilities. A capability datastore and an external factors datastore communicate with the processor and with each other. The capability datastore computes and stores the electrical transfer capability as a function time duration and at any given point in time while the external factors datastore determines a plurality of variables which affect the electrical transfer capabilities. A resource manager, connected to the processor, allocates resources by optimizing and correlating the electrical transfer capabilities with the plurality of variables, to generate an electrical transfer capacity rating for the one or more electric power facilities as a function of time duration and at any given point in time.