Multi-Parallel Power Electronic Transformers Optimal Allocation

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Solution Overview

Problem

Existing power electronic transformers are unable to provide optimal power allocation, resulting in low allocation efficiency and high energy loss when integrating DC loads and DC power supplies into traditional AC distribution networks, necessitating the development of hybrid AC/DC power distribution technology.

Innovation Solution

A method and electronic device for power allocation in multi-parallel power electronic transformers, which involves determining conversion stages, obtaining load ratio-efficiency relationships, calculating load ratio-loss relationships, and constructing a dual-parallel optimum power allocation mathematical model to optimize power allocation among multiple transformers, reducing energy loss and improving system efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multi-parallel power electronic transformers are employed to integrate DC loads and DC power supplies into AC distribution networks, then the flexibility and multi-directional power flow capability are improved, but the energy loss increases and allocation efficiency decreases

Engineering Contradiction:
Improveflexibility and multi-directional power flow capabilityVSAvoidenergy loss
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting the power allocation parameters of each parallel transformer based on real-time load conditions. The system establishes a mathematical model that relates load ratio to efficiency, then uses this model to optimize power distribution parameters, thereby reducing energy loss while maintaining the flexibility of multi-directional power flow.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system implements dynamic power allocation by continuously monitoring the operating states of parallel transformers and adjusting power distribution in real-time. The control method dynamically determines optimal power allocation schemes based on changing load conditions, transforming the static power distribution into a dynamic optimization process that adapts to varying system requirements.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If existing power electronic transformers are used without optimization, then the system structure is simple, but the allocation efficiency is low

Engineering Contradiction:
Improvesystem structureVSAvoidallocation efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent implements feedback control by establishing a closed-loop system that monitors the efficiency and load ratio of each transformer, compares actual performance with optimal values from the mathematical model, and adjusts power allocation accordingly. This feedback mechanism enables the system to automatically optimize allocation efficiency without requiring complex structural modifications.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary action by pre-establishing a mathematical model that describes the relationship between load ratio and efficiency for each transformer. This model is constructed beforehand through characterization tests, allowing the system to quickly determine optimal power allocation schemes without real-time complex calculations, thus improving allocation efficiency while keeping the control structure relatively simple.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11245284B2Power allocation of multi-parallel power electronic transformers
Publication Date: 2022.02.08 GUANGZHOU INST OF ENERGY CONVERSION CHINESE ACAD OF SCI
  • US11245284B2 patent drawing
  • US11245284B2 patent drawing
  • US11245284B2 patent drawing

AI summary

A method and an electronic device for power allocation of multi-parallel power electronic transformers, the method including: determining a quantity of conversion stages of the power electronic transformers; obtaining a load ratio-efficiency relationship between the two ports of each conversion stage in turn, performing a curve fitting to obtain a load ratio-efficiency curve of each conversion stage of the power electronic transformers; calculating a load ratio-loss relationship of each conversion stage, based on the load ratio-efficiency curve of each conversion stage; obtaining a multi-parallel minimum-operation-loss power allocation curve of each conversion stage; performing a piecewise curve fitting of the minimum-operation-loss power allocation curve to obtain a multi-parallel optimum power allocation mathematical model of each stage; and determining an optimum power allocation to each port of the multi-parallel power electronic transformers, based on the multi-parallel optimum power allocation mathematical model of each stage.