Current transformer, method for distributing electric energy using same, and electric energy distribution system
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Solution Overview
Problem
Current intelligent current transformers struggle to effectively distribute energy to multiple air conditioners in DC drive variable-frequency systems, leading to inefficient energy scheduling and usage due to changing energy demands during operation.
Innovation Solution
A method and device using a current transformer that calculates distribution coefficients based on the number and rated energy demands of loads, acquires adjustable energy ranges, and redistributes energy according to these coefficients to ensure efficient and refined energy management across multiple air conditioners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a centralized intelligent current transformer supplies energy to multiple DC air conditioners, then energy supply capability is improved, but energy distribution efficiency deteriorates due to inability to dynamically adjust to changing load demands
Solution Approach 1:
The patent implements dynamic energy distribution by continuously monitoring the operating status of each DC air conditioner and adjusting energy allocation in real-time. The system calculates distribution coefficients based on actual load demands, transforming the static energy supply into a dynamic adaptive process that responds to changing conditions, thereby resolving the contradiction between centralized supply capability and distribution efficiency.
Solution Approach 2:
The system employs feedback mechanisms by detecting the operating status of each air conditioner and using this information to recalculate and adjust energy distribution coefficients. This closed-loop control ensures that energy allocation continuously adapts to actual demand changes, improving distribution efficiency while maintaining centralized supply capability.
2Ease of operation
If energy is distributed according to fixed rated demands, then distribution simplicity is improved, but adaptability to actual operating conditions deteriorates
Solution Approach 1:
The patent transitions from fixed rated demand distribution to dynamic demand-based distribution. By continuously monitoring actual operating demands and adjusting distribution coefficients accordingly, the system maintains simplicity in the distribution mechanism while significantly improving adaptability to changing operating conditions through real-time parameter updates.
Solution Approach 2:
The system changes the distribution parameters from fixed rated demands to variable actual demands. By using real-time operating status data to calculate distribution coefficients, the system adapts to changing conditions while maintaining a straightforward distribution algorithm, thus preserving simplicity while enhancing adaptability.
3Productivity
If dynamic energy redistribution is implemented, then energy utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the energy distribution control into modular components: status detection modules for each air conditioner, a central calculation unit for determining distribution coefficients, and execution units for adjusting energy allocation. This segmentation manages system complexity by breaking down the dynamic redistribution process into discrete, manageable functions while maintaining high energy utilization efficiency.
Solution Approach 2:
The system implements self-service through automatic detection of operating status and autonomous calculation of distribution coefficients without requiring manual intervention. This automation reduces operational complexity while achieving dynamic energy redistribution, allowing the system to efficiently adapt to changing conditions through self-managed control processes.
Data Source
AI summary
The present disclosure provides a current transformer, a method for distributing electric energy using the same, and an electric energy distribution system, and relates to the technical field of household appliances. The method includes: calculating distribution coefficients of energy required for loads according to the number of the loads and rated energy demands of the respective loads; acquiring energy demand ranges of the loads; and distributing energy to the loads according to the energy demand ranges and the distribution coefficients based on energy of a power supply end.