MPPT Timing Control for Global Peak Tracking in Shaded PV Arrays
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Solution Overview
Problem
Conventional photovoltaic systems face inefficiencies due to partial shading, which leads to energy losses as they often track local maximum power points instead of global maximum power points, especially when the photovoltaic array's power-voltage curve exhibits multiple peaks, and the start moment of multi-peak MPPT algorithms is determined by human experience, resulting in inflexible and less applicable energy yield.
Innovation Solution
A photovoltaic system equipped with an MPPT controller that tracks the global maximum power point and determines the multi-peak search start moment based on the status of tracking the global maximum power point over a target time period, including multiple MPPT periods, to predict and start the global MPPT at the appropriate time, thereby improving the precision and efficiency of energy yield.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the start moment of multi-peak MPPT algorithm is determined based on human experience, then the system operation is simple, but the precision of tracking global maximum power point deteriorates and energy yield is lost
Solution Approach 1:
The system automatically determines the start moment of multi-peak MPPT algorithm by detecting periodic shading patterns itself, without requiring external manual input or experience-based settings. The controller monitors the P-U curve characteristics over time and autonomously identifies when periodic shading occurs and initiates the appropriate MPPT strategy.
Solution Approach 2:
The system uses feedback from historical P-U curve data to dynamically adjust the timing of multi-peak MPPT algorithm execution. By analyzing the tracking status and power generation patterns from previous MPPT periods, the controller learns the periodicity of shading events and optimizes the start moment for peak detection, improving both precision and adaptability.
2Device complexity
If conventional MPPT methods are used under partial shading, then the system structure remains simple, but energy yield deteriorates due to tracking local maximum power points instead of global maximum power points
Solution Approach 1:
The system dynamically switches between different MPPT strategies based on real-time detection of P-U curve characteristics. When periodic shading is detected, the system transitions from conventional single-peak MPPT to multi-peak MPPT algorithm, and adjusts the timing of peak detection dynamically according to the learned shading periodicity, thereby avoiding local maxima and capturing global maximum power points.
Solution Approach 2:
The system changes the operational parameters of the MPPT algorithm based on detected shading conditions. Specifically, it modifies the search start moment and peak detection thresholds when periodic shading is identified, allowing the system to adapt its behavior to the specific conditions without requiring a complete redesign of the hardware architecture.
3Ease of operation
If multi-peak MPPT algorithm is executed at fixed time intervals, then the system operation is simple, but adaptability deteriorates when the actual peak appearance moment deviates from the predetermined time
Solution Approach 1:
The system performs preliminary detection and analysis during each MPPT period to identify the actual timing of power peaks and shading events. This preliminary information is then used to adjust the start moment for the next multi-peak MPPT algorithm execution, creating a proactive adaptation mechanism that anticipates future shading patterns rather than reacting to them passively.
Solution Approach 2:
The system implements periodic monitoring and adjustment of the MPPT algorithm timing based on the recurring nature of periodic shading. By executing the multi-peak detection at intervals that match the detected shading periodicity, the system maintains simplicity while achieving high adaptability to the specific environmental conditions.
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
The system enhances the precision and efficiency of tracking the global maximum power point, ensuring higher energy yield by accurately determining the multi-peak search start moment and maintaining operation simplicity and high applicability.
Implementation Method 1
Solar photovoltaic power generation is considered to be the most promising new energy technology in the world at present
Data Source
AI summary
This application provides a photovoltaic system and a maximum power point tracking control method for a photovoltaic system. The photovoltaic system includes an MPPT controller and a power converter, and the MPPT controller is connected to the power converter. The MPPT controller is configured to: be connected to a photovoltaic array, and track a global maximum power point MPP of the photovoltaic array. The MPPT controller may be further configured to obtain, when there is a periodic shade for the photovoltaic array, a multi-peak search start moment of global MPPT of the photovoltaic array based on a status of tracking the global MPP of the photovoltaic array in a target time period, so that when the multi-peak search start moment in each MPPT period arrives, the global MPPT of the photovoltaic array is started, to output a working point of the global MPP of the photovoltaic array to the power converter. According to this application, efficiency of obtaining the working point of the global MPP of the photovoltaic array can be improved, and precision of controlling the global MPPT of the photovoltaic array can be improved.