Photovoltaic Module Balancing Control for Mismatch Isolation
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Solution Overview
Problem
Current photovoltaic power generation systems lack real-time monitoring and control capabilities, making it difficult to identify and address issues with individual modules, leading to uneven power production and reduced overall efficiency.
Innovation Solution
A photovoltaic power generation balancing control system that includes node balancing controllers, a gateway, a real-time controller, and an integrated information server to collect and analyze voltage and power data, and transmit control commands to switch off underperforming modules, ensuring uniform power production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only the output of the inverter is measured in conventional systems, then the system structure remains simple, but it becomes impossible to identify which specific photovoltaic module is malfunctioning or underperforming
Solution Approach 1:
The system segments the photovoltaic power generation system into individual module-level monitoring units. Each photovoltaic module is equipped with its own controller that independently measures voltage and current, enabling precise identification of malfunctioning modules without requiring complex centralized measurement equipment.
2Reliability
If real-time monitoring of each photovoltaic module is implemented, then the ability to identify underperforming modules is improved, but the system complexity and cost increase significantly
Solution Approach 1:
Each photovoltaic module performs self-monitoring through its own controller that automatically measures its voltage and current output. The module independently identifies its own performance status and communicates with the central controller, eliminating the need for complex external monitoring equipment at each module.
Solution Approach 2:
The system implements real-time feedback by continuously measuring voltage and current at each module, comparing actual output against expected performance, and automatically switching off underperforming modules. This closed-loop feedback mechanism maintains high reliability through automatic adjustment without requiring complex manual intervention systems.
3Productivity
If underperforming photovoltaic modules continue to operate without switching them off, then the system maintains high voltage output, but the overall power generation efficiency decreases due to uneven module performance
Solution Approach 1:
The system dynamically adjusts the operating state of each photovoltaic module based on real-time performance monitoring. Controllers continuously evaluate module output and automatically switch off underperforming modules, creating a dynamic adaptation mechanism that optimizes overall system efficiency rather than maintaining static operation of all modules.
Solution Approach 2:
The system converts the harmful effect of underperforming modules dragging down overall efficiency into a benefit by using them as monitoring samples. By identifying and switching off these modules, the system prevents energy loss from mismatched operation while using their performance data to improve overall system management and predict future failures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enables real-time collection and analysis of data to optimize power production by switching off underperforming modules, maintaining uniform power output and improving overall efficiency and management of photovoltaic modules.
Implementation Method 1
a plurality of photovoltaic modules configured to convert photovoltaic energy into electrical energy in order to perform photovoltaic power generation
Data Source
AI summary
The present invention relates to a system and a method for controlling photovoltaic balancing, the system comprising: photovoltaic modules wherein the photovoltaic modules are connected in series with each other; node balancing control units for blocking and switching the connected photovoltaic modules when measured data fall below current, voltage, and power control data set to control; a gateway unit for storing the measured data; a real-time control module for classifying, comparing, and analyzing the measured data, storing same in a database, and transmitting a control command to the gateway unit; and an integrated information server for monitoring photovoltaic component devices and measured values, analyzing and processing profile information of the component devices, and providing same to the real-time control module.