Energy Management Component Control for Real-Time Load Balancing
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Solution Overview
Problem
Current energy management systems lack effective methods for efficiently managing and optimizing the production, distribution, and use of energy sources like electricity, water, and gas, leading to inefficiencies in energy management.
Innovation Solution
A network system that includes energy management components capable of recognizing energy information and additional data, providing recommendations for component operation within a recommended range, enabling optimized energy usage and distribution through communication between various components such as power plants, substations, smart meters, and energy storage units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If energy management systems simply provide and use energy sources without effective management, then the system is simple and easy to operate, but energy efficiency and management effectiveness deteriorate
Solution Approach 1:
The system segments energy management into multiple components including energy management servers, component servers, and various energy devices (power plants, substations, storage units, meters). Each segment handles specific management tasks independently, improving overall energy efficiency while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system implements feedback mechanisms where energy information is collected from various components, processed by servers, and used to generate control commands that are returned to the components. This closed-loop feedback enables optimized energy distribution and consumption, addressing the energy efficiency issue while the automated nature of feedback reduces operational complexity.
2Productivity
If energy information is not recognized and recommendations are not provided, then the system operation is straightforward, but energy optimization and cost reduction deteriorate
Solution Approach 1:
The energy management system operates autonomously by automatically recognizing energy information from various components, analyzing the data, generating optimization recommendations, and implementing control commands without requiring manual intervention. This self-service capability enhances energy optimization while reducing operational complexity for users.
Solution Approach 2:
The system performs preliminary actions by proactively recognizing energy information and generating optimization recommendations before energy inefficiencies manifest. The energy management server continuously monitors and analyzes energy data, preparing optimization strategies in advance, which improves productivity while the automated preliminary actions reduce the need for complex manual operations.
3Loss of energy
If energy distribution and consumption are managed without real-time information, then the system structure is simple, but energy waste and cost increase
Solution Approach 1:
The system introduces energy management servers as intermediary components between energy sources and consumers. These servers collect energy information from various components, process the data to identify optimization opportunities, and generate control commands to reduce energy waste. The intermediary layer addresses energy waste issues while the automated mediation reduces the complexity burden on end users.
Solution Approach 2:
The energy management servers perform multiple functions including data collection, analysis, recommendation generation, and command issuance within a single integrated platform. This multi-functionality addresses various aspects of energy waste reduction through a unified system, improving energy efficiency while consolidating management complexity into dedicated server infrastructure rather than distributing it across all components.
Data Source
AI summary
Provided is a method of controlling a component for a network system. The method of controlling a component for a network system, which is communicable with the other component, includes recognizing energy information or additional information except for the energy information; and providing recommended information related to an operation of the component within a recommended range on the basis of the recognized energy information or the additional information.