Smart Grid Server Power Consumption Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current smart grid systems lack the ability to dynamically and adaptively manage electric power consumption based on individual consumer patterns, leading to inefficiencies in power distribution and supply.
Innovation Solution
A method and system where a server coupled to a smart grid receives and analyzes electric power consumption data from consumer meters, determines consumption patterns, calculates optimal power supply amounts, and transmits control signals to adjust power usage in real-time, using communication networks and user equipment to enable dynamic control of electric power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional smart grid systems are used for managing electric power supply and consumption, then basic monitoring and measuring capabilities are provided, but the system lacks the ability to dynamically and adaptively manage power consumption based on individual consumer patterns
Solution Approach 1:
The system segments power consumption management by creating individual consumption profiles for each consumer based on their unique patterns. The server divides the overall management task into consumer-specific sub-tasks, allowing adaptive control tailored to each user's behavior without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary analysis of consumer power consumption patterns in advance to build predictive models. By pre-processing consumption data and identifying patterns before actual power management decisions are made, the system enables rapid adaptive responses without real-time computational complexity.
2Productivity
If real-time monitoring and control of electric power consumption is implemented, then power distribution efficiency is improved, but the requirement for data processing and control infrastructure increases
Solution Approach 1:
The server acts as an intermediary between power generation stations and consumer meters, centralizing the complex data processing and control functions. This intermediary handles pattern recognition, prediction, and decision-making, simplifying the overall infrastructure by consolidating intelligence in a single coordinating system rather than distributing complexity across all components.
Solution Approach 2:
The system implements continuous feedback loops where consumption data is collected, analyzed, and used to generate control signals that are sent back to meters. This feedback mechanism enables real-time optimization of power distribution efficiency by automatically adjusting supply based on actual consumption patterns and predictions.
3Reliability
If individualized power supply amounts are calculated and controlled for each consumer, then power supply optimization is achieved, but the processing requirements for analyzing consumption patterns increase
Solution Approach 1:
The system performs preliminary analysis of consumption patterns in advance to build predictive models for each consumer. By pre-processing historical data and identifying usage patterns before actual power management decisions are needed, the system reduces real-time processing requirements while maintaining reliable individualized control.
Solution Approach 2:
The system transforms raw consumption data into simplified pattern parameters and predictions. By changing the representation of consumption information from detailed raw data to condensed pattern descriptors, the system reduces data processing requirements while preserving the essential information needed for reliable power supply management.
Data Source
AI summary
The disclosure is related to a method for controlling an electric power consumption amount of a consumer by a server coupled to a smart grid for managing electric power distribution. The method may include receiving signals having information on electric power consumption amounts from a meter of a consumer through a communication network, determining an electric power consumption pattern of the consumer based on the information on electric power consumption amounts, calculating electric power supply amounts for a predetermined time period based on the determined electric power consumption pattern of the consumer, and transmitting a control signal to the meter of the consumer through a communication network for controlling an electric power consumption amount of the consumer based on the calculated electric power supply amounts.