Dynamic Power Source Grouping for Maximum Power Point Tracking
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Solution Overview
Problem
Existing power generating systems struggle to optimize power production from multiple power sources due to inefficiencies in power conversion and management, particularly in systems with photovoltaic panels and batteries, leading to suboptimal energy output and system performance.
Innovation Solution
The system dynamically groups power generators into power sources using a multiplexer and power converter, determining Maximum Power Point (MPP) for each source, and alternately connecting them to optimize power production by maximizing combined power output through a MISO resonant converter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power generators are statically grouped into power sources, then system complexity is reduced, but power production efficiency decreases due to inability to adapt to varying MPP conditions
Solution Approach 1:
The patent implements dynamic grouping of power generators by continuously monitoring MPP conditions and reconfiguring which generators are connected to the power converter. This allows the system to adapt to changing operating conditions (irradiance, temperature) and maintain optimal power extraction, resolving the contradiction between static simplicity and dynamic efficiency.
Solution Approach 2:
The patent segments the power generating apparatus into multiple independently controllable power sources, each with its own MPP tracking capability. This segmentation allows selective connection of generators to the power converter based on real-time conditions, enabling efficient power collection without requiring complete system reconfiguration.
2Power
If all power generators are connected to maximize power output, then power production increases, but current ripple increases due to varying voltage levels and sensitivities
Solution Approach 1:
The patent applies local quality by allowing different power sources to operate at their own optimal voltage levels and MPP conditions while being selectively connected to the power converter. Each power source maintains its own electrical characteristics without being forced to match others, reducing current ripple while maximizing total power output.
3Productivity
If power generators are dynamically reconfigured based on MPP, then power production efficiency increases, but system control complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the power converter controller continuously monitors the operating conditions of each power source, determines MPP points, and uses this information to dynamically control which generators are connected. This closed-loop control enables efficient power extraction while managing complexity through systematic decision-making algorithms.
4Adaptability or versatility
If static grouping is used, then system operation is simpler, but adaptability to varying environmental conditions deteriorates
Solution Approach 1:
The patent employs periodic action by continuously cycling through monitoring phases (measuring voltage, current, power) and control phases (determining MPP, reconfiguring connections). This periodic operation allows the system to adapt to changing environmental conditions while maintaining a structured, manageable operational rhythm that balances adaptability with operational simplicity.
Data Source
Figure 1A
Figure 1B~1C
Figure 2A
AI summary
Apparatuses, systems and methods are described for optimizing power production from power generating devices by dynamically grouping the power generators. The power generating devices may be dynamically grouped into power sources according to a Maximum Power Point of the power generators, and the power output of the grouped generators may be controlled by alternatively connecting the output of the power sources. The output power may also be optimized by dynamically grouping the power generators, so that a maximum power may be generated.