Smart Switch Resource Management for Voltage Sag Protection
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Solution Overview
Problem
Conventional resource management systems face challenges in cost-effectively managing power supply for small-to-medium sized plants, particularly in preventing equipment failures due to dynamic load transitions and natural phenomena like voltage sags, and struggle to efficiently manage multiple equipment loads.
Innovation Solution
A resource management system comprising smart switches, a grid manager, and a service manager that dynamically control and reroute power supply based on real-time monitoring and policies, allowing for autonomous and cooperative switching between power sources to maintain continuous power delivery, even during events like voltage sags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If duplexing of power supply path and backup power supply are implemented, then reliability of power supply is improved, but cost and installation space increase
Solution Approach 1:
The system divides power supply management into multiple independent smart switches, each capable of autonomous decision-making. Each smart switch monitors its own connected equipment and independently switches power sources when needed, eliminating the need for centralized complex backup systems while maintaining reliability.
Solution Approach 2:
Smart switches are equipped with monitoring parts and policy storage that enable them to autonomously detect power quality issues and execute switching decisions without external intervention. The system self-manages power supply reliability through local intelligence rather than requiring complex centralized backup infrastructure.
2Device complexity
If UPS is installed based on averaged operation analysis, then cost and space are reduced, but ability to respond to dynamic load transitions and failures is worsened
Solution Approach 1:
The system transitions from static averaged operation analysis to dynamic real-time monitoring. Smart switches continuously monitor power quality parameters and load conditions, enabling adaptive response to changing operational conditions rather than relying on pre-calculated average values.
Solution Approach 2:
The monitoring parts in smart switches provide real-time feedback on power quality and load status. This feedback loop enables the system to dynamically adjust power supply decisions based on actual conditions, improving adaptability to load transitions and failures compared to static analysis approaches.
3Device complexity
If manual power supply switching is performed based on thunder forecast, then cost is reduced, but reliability and response time to instantaneous voltage drops are worsened
Solution Approach 1:
The system performs preliminary actions by pre-configuring switching policies in the smart switches before failures occur. When voltage sags or failures are detected, the pre-programmed policies enable immediate automated switching without waiting for manual intervention or external forecasts.
Solution Approach 2:
The system replaces manual mechanical switching operations with automated electronic control. Smart switches use electronic monitoring and control mechanisms to automatically detect power quality issues and execute switching, eliminating the delays and human error inherent in manual switching based on forecasts.
4Device complexity
If conventional power supply management is used, then installation cost is reduced, but ability to manage multiple equipment loads dynamically is worsened
Solution Approach 1:
Smart switches are designed as universal devices that can manage multiple different types of equipment loads through standardized interfaces. Each smart switch can connect to and manage various equipment while maintaining consistent monitoring and control functionality, enabling efficient management of diverse equipment without requiring specialized systems for each device.
Data Source
AI summary
A resource management system includes first and second opening/closing control mechanisms and a grid manager. The first and second control mechanisms each include: a controller to transmit a signal between a resource supply source and a load, a monitor to monitor a state of a resource from the source, a storage to store a policy defining the signal corresponding to the state of the resource from the source; and a path controller to generate the signal based on a monitoring result of the monitor and the policy. The grid manager includes: a third monitor to monitor the state of the resource from the first source; and a third path controller to generate at least one of the first and second signals by controlling at least one of the first path and second path controllers based on a monitoring result of the third monitor.