Preprocessing Device for Autonomous Power Supply Control
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Solution Overview
Problem
Current energy supply systems require manual intervention by trained personnel to set and adjust target consumption values and reserve values, which is inefficient and prone to errors, especially in handling load fluctuations and maintaining system balance.
Innovation Solution
An energy supply system with a preprocessing device that automatically calculates target consumption values and reserve values using past consumption data and a user-specified probability value, allowing for autonomous operation and adjustment without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual determination of target consumption value and reserve value by trained operating personnel is used, then the system can operate with human judgment and experience, but the system requires continuous manual intervention and is inefficient
Solution Approach 1:
The preprocessing device automatically calculates target consumption values and reserve values using recorded consumption data and probability values, enabling the system to determine control parameters autonomously without requiring manual intervention by operating personnel
Solution Approach 2:
The patent replaces the manual mechanical process of determining control parameters with an automated computational system that uses statistical evaluation of recorded consumption values to calculate target consumption values and reserve values
2Measurement precision
If trained operating personnel manually determine and enter control parameters, then accuracy can be maintained through expertise, but errors and inefficiencies occur due to human factors
Solution Approach 1:
The preprocessing device continuously records consumption values and uses statistical evaluation to automatically adjust target consumption values and reserve values, creating a feedback loop that improves parameter determination accuracy and system reliability without human intervention
Solution Approach 2:
The system creates a statistical model based on recorded consumption data that replicates and improves upon human expertise by identifying patterns and relationships that may not be apparent to individual operators
3Adaptability or versatility
If the system requires manual adjustment of target consumption value and reserve value, then flexibility in response to changing conditions is possible, but the response time is delayed due to human intervention
Solution Approach 1:
The preprocessing device continuously records and evaluates consumption data in advance, automatically calculating updated target consumption values and reserve values before changes require manual intervention, enabling immediate system adaptation when conditions change
Solution Approach 2:
The system dynamically adjusts target consumption values and reserve values based on real-time statistical evaluation of recorded consumption data, automatically adapting to changing energy generation and consumption patterns without manual intervention
Data Source
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AI summary
The invention relates to a power supply system (10) comprising a plurality of power generating devices (G1, G2) and a plurality of power consuming devices (V1, V2) and a controller (30) which can control the power supply system (10), the controller (30) being suitable to control the power supply system (10) based on a rated consumption value (Sw) indicating an anticipated power consumption of the power supply system (10) and also based on a standby value (Rw, Rw1, Rw2) indicating a standby power, the at least one standby value (Rw, Rw1, Rw2) indicating the standby power to be made available by the power supply system (10) at which emergency measures can be avoided if the actual power consumption deviates from the rated consumption. According to the invention, the power supply system (10) comprises a preprocessing device (40) which is suitable to calculate the rated consumption value (Sw) and the at least one standby value (Rw, Rw1, Rw2) at which the emergency measure-free operation can be attained with the required probability, based on consumption values recorded in the past (VdV) and using a probability value (PM) defined on the user side which defines the probability of an emergency measure-free operation of the power supply system (10).