Network Power Scheduling Around Peak Electricity Periods
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Solution Overview
Problem
Current network systems lack efficient power management solutions to optimize electricity consumption, leading to increased energy costs and environmental impacts due to peak energy demand.
Innovation Solution
A method for controlling a network system by recognizing peak and operation time periods of energy consumption components, adjusting operations to reduce energy usage during peak times, and providing users with real-time power information to facilitate power-saving operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If energy consumption components operate during peak time periods, then immediate service is provided, but electricity charges and energy costs increase
Solution Approach 1:
The system performs preliminary actions by identifying peak time periods in advance and proactively rescheduling operations to occur before or after these periods. The controller predicts peak times based on historical data and patterns, then pre-arranges operational schedules to avoid high-cost periods, thereby reducing electricity charges while maintaining service availability.
Solution Approach 2:
The system dynamically adjusts operation time periods based on real-time and historical power consumption data. The controller continuously monitors electricity rates, identifies peak periods, and flexibly reschedules operations to non-peak times. This dynamic rescheduling allows the system to adapt to changing energy costs and patterns, optimizing the balance between immediate service needs and electricity charge reduction.
2Use of energy by moving object
If operations are rescheduled to avoid peak times, then electricity charges are reduced, but service availability may be delayed
Solution Approach 1:
The system performs preliminary rescheduling actions automatically when peak periods are detected, moving operations to non-peak times before the actual peak occurs. This proactive approach allows service to be delivered at optimal times without requiring user intervention or causing unexpected delays, as the rescheduling is already in place.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring operation completion status and user service needs. When an operation is rescheduled to a non-peak time, the system tracks its progress and notifies users of the new timing. This feedback loop ensures that while electricity charges are reduced through rescheduling, users remain informed about service availability and can plan accordingly.
3Loss of information
If real-time power information is provided to users, then power usage awareness increases, but system complexity increases
Solution Approach 1:
The controller performs multiple functions: it monitors power consumption, identifies peak time periods, reschedules operations, and provides information to users. By consolidating these diverse functions into a single multi-functional controller, the system reduces overall complexity compared to having separate dedicated systems for each function, while still providing comprehensive real-time power information and control capabilities.
Solution Approach 2:
The system provides self-service by automatically monitoring its own power consumption, identifying peak periods, and making rescheduling decisions without requiring external complex infrastructure. The controller uses its own operational data and historical patterns to make intelligent decisions, reducing the need for additional complex monitoring and control systems while maintaining high power usage awareness.
Data Source
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AI summary
A method of controlling a network system is provided. The method of controlling a network system includes recognizing power information comprising a peak time period and an operation time period of an energy consumption component and changing the operation time period when the peak time period is included in at least portion of the operation time period of the energy consumption component.