Predictive Power Allocation for Group Load Limit Control
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Solution Overview
Problem
Existing power control systems fail to adjust power usage effectively for individual consumer equipment based on specific operation conditions within a group, leading to inefficiencies in managing power consumption and potential exceedance of target power limits.
Innovation Solution
A power control system that includes prediction units to forecast power usage based on historical data and current operating conditions, setting limit values to prevent exceeding target power, and a control unit to adjust power usage dynamically, allowing for interchanging of power usage among consumers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power control is performed only at group level without individual equipment adjustment, then control simplicity is maintained, but power usage efficiency deteriorates
Solution Approach 1:
The power control system divides the control object into two levels: group-level power allocation and individual equipment-level adjustment. The control unit sets power limits for each consumer equipment within the group, enabling granular control while maintaining overall system coordination. This segmentation allows efficient power management by addressing both collective and individual power consumption characteristics.
2Measurement precision
If dynamic adjustment based on real-time operating status is implemented, then power control precision is improved, but system complexity increases
Solution Approach 1:
The control unit receives operating status information from each consumer equipment and uses this feedback to dynamically adjust power limits. The system monitors actual power consumption and operating conditions, then modifies power allocation accordingly. This feedback mechanism enables precise power control while maintaining manageable system complexity through automated decision-making algorithms.
Solution Approach 2:
The power control system transitions from static power allocation to dynamic adjustment based on real-time operating status. The control unit continuously updates power limits for individual equipments according to their current operational state, enabling adaptive power management that responds to changing conditions without requiring complex manual intervention.
3Speed
If rapid power usage changes are allowed to respond to operating conditions, then power control responsiveness is improved, but system stability deteriorates
Solution Approach 1:
The control unit implements damping mechanisms that prevent abrupt power usage changes by smoothing transitions between different power levels. When adjusting power limits in response to operating status changes, the system applies gradual modification rather than instantaneous changes, cushioning the impact on system stability while maintaining adequate responsiveness to operational requirements.
Data Source
AI summary
A power control system performs power control such that a target power set for a group including a plurality of consumers is not exceeded. The system includes a first prediction unit that performs prediction on power usage of each consumer in the group over each of predetermined time periods, a limit value setting unit that sets limit values of power usage of each consumer based on a prediction result obtained by the first prediction unit, a second prediction unit that predicts the power usage of the consumers in the group over a current time period, and a control unit that controls power usage of equipment devices of each consumer based on predicted values of the power usage of the consumers over the current time period, such that the limit values of power usage of the consumers for the current time period are not exceeded.