Array Backtracking Angle Grouping for Uneven Terrain PV Rows
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Solution Overview
Problem
Conventional backtracking algorithms for horizontal single-axis trackers are ineffective on uneven terrain, leading to shading between arrays and reduced global output power due to significant differences in backtracking angles between front and rear rows.
Innovation Solution
An array backtracking angle adjusting method that acquires an initial backtracking angle group, adjusts it based on a preset deviation angle to form candidate groups, and selects a target group with minimal dispersion of adjusted angles to optimize global output power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional backtracking algorithm is applied on uneven terrain, then shading between arrays occurs, but adjusting backtracking angles based on relative slopes causes great difference between front and rear row angles affecting global output power
Solution Approach 1:
The patent changes the backtracking angle parameters from individual array adjustments to group-based coordinated adjustments. By dividing arrays into front and rear groups and adjusting their backtracking angles differently (first group: α1 = α0 - Δα, second group: α2 = α0 + Δα), the system resolves the contradiction between eliminating shading and maintaining global output power.
Solution Approach 2:
The patent segments the array system into multiple groups based on their spatial positions and shading relationships. By treating front and rear rows as separate controllable groups with different backtracking angle adjustments, the system can independently optimize each group's contribution to global power while minimizing inter-array shading.
2Object-affected harmful factors
If backtracking angles are adjusted to eliminate shading on uneven terrain, then shading between arrays is reduced, but the degree of dispersion of backtracking angles increases affecting MPPT performance
Solution Approach 1:
The patent introduces a constrained optimization approach where backtracking angle adjustments are bounded by a maximum deviation threshold (Δα ≤ Δα_max). This ensures that while angles are adjusted to eliminate shading, the dispersion remains within acceptable limits for effective MPPT operation of inverters.
Solution Approach 2:
The patent applies different backtracking angle adjustments to different spatial groups (front row vs. rear row) based on their local shading conditions, rather than uniformly adjusting all arrays. This localized adjustment strategy reduces overall dispersion while effectively addressing shading in specific areas.
3Object-affected harmful factors
If individual array backtracking angles are optimized for shading reduction, then local shading is eliminated, but global output power decreases due to angle mismatch
Solution Approach 1:
The patent merges the optimization objectives of multiple arrays into a unified group-level optimization. By coordinating backtracking angles within groups (front group and rear group) rather than optimizing each array independently, the system maintains angle consistency that enables effective MPPT while still reducing shading through group-level adjustments.
Data Source
AI summary
Disclosed in the present application are an array backtracking angle adjusting method and apparatus, and a storage medium. The method comprises: acquiring an initial backtracking angle group of a horizontal single-axis tracker, the initial backtracking angle group comprising initial backtracking angles of a plurality of arrays of the horizontal single-axis tracker; according to a preset deviation angle, adjusting the initial backtracking angle group to determine a plurality of candidate backtracking angle groups, the plurality of candidate backtracking angle groups comprising adjusted backtracking angles of the plurality of arrays; and, on the basis of the degree of dispersion of the adjusted backtracking angles of the plurality of arrays in each candidate backtracking angle group, determining a target backtracking angle group from the plurality of candidate backtracking angle groups, the target backtracking angle group comprising target backtracking angles of the plurality of arrays.