Agent-Based Energy Management With Simulation Data Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current energy management systems lack efficient communication and control mechanisms for facilitating interaction and optimization across various aspects of energy production, consumption, and distribution, particularly in utility power systems, which can lead to inefficiencies and errors in power generation and revenue optimization.
Innovation Solution
An energy management system comprising processing agents with a run function, a messaging interface for data exchange, and a simulation controller that selectively replaces energy-related data with simulation data to determine optimal solutions for power generation facilities, facilitating communication and control across energy production, consumption, and distribution aspects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional energy management systems are used, then system simplicity is maintained, but communication and control efficiency deteriorates
Solution Approach 1:
The energy management system is divided into multiple independent processing agents, each responsible for specific energy-related tasks such as data collection, analysis, and control decisions. This segmentation enables parallel processing and improves communication efficiency while maintaining manageable complexity through modular design.
Solution Approach 2:
A messaging interface is introduced as an intermediary component that facilitates communication between processing agents and data nodes. This mediator handles data exchange, routing, and protocol management, thereby improving control efficiency without requiring direct complex connections between all system components.
2Measurement precision
If simulation data is used to replace energy-related data, then solution accuracy for power generation facilities is improved, but data processing time increases
Solution Approach 1:
Simulation data is pre-generated and stored in a database before actual energy management operations. When processing is needed, the pre-computed simulation data can be quickly retrieved and used to enhance solution accuracy without performing time-consuming simulations in real-time.
Solution Approach 2:
Instead of performing complex simulations whenever accurate data is needed, the system creates copies of pre-simulated data scenarios and uses these copies for analysis and decision-making. This approach maintains measurement precision while significantly reducing processing time by avoiding repeated simulation computations.
Data Source
AI summary
An energy management system includes processing agents that each include a run function to provide a data request for energy-related data and generate an output. A messaging interface receives the energy-related data from data nodes associated with external organizations, power generating facilities, and/or other processing agents in response to the data request, publishes the energy-related data to the requesting processing agent, receives the output from the respective processing agent, and provides the output to other processing agents and/or data nodes. A simulation controller selectively replaces the energy-related data with simulation data for data nodes. An output resolver generates an energy management output based on the outputs provided by processing agents and generates the simulation data based on a deviation in the energy management output resulting from application of the simulation data relative to application of the energy-related data to determine a solution associated with the power generating facilities.