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Home - Technology - HoarFrost-inspired technology to improve MPPT in PV systems under partial Shadow-PV Magazine International
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HoarFrost-inspired technology to improve MPPT in PV systems under partial Shadow-PV Magazine International

solarenergyBy solarenergyJune 6, 2025No Comments4 Mins Read
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Scientists in China have introduced developments in the figure optimization method, which is inspiration from Hoarfrost’s development course in nature. They compared it with other MPPT algorithms and found it faster and to improve the power.

June 6, 2025
Lior Kahana

Researchers from Chinese Shenyang Agricultural University have developed a new maximum Power Point Tracking (MPPT) technology for PV systems that work under partial shadow.

Their new method is an improvement in the figure optimization -algorithm that imitates Hoarfrost’s development development in nature. Their improved rime (irime) algorithm was demonstrated and compared to two other algorithms particle swarm optimization (PSO) -MPPT and Rime -Mpp.

“The study by Irime-MPPT offers new solutions for the optimal functioning of PV systems. The proposed method quickly adapts to environmental fluctuations and identifies the maximum power point (MPP) in a short time,” the academics said. “It shows adaptive regulatory attributes, which immediately stabilizes its condition and considerably soften the fluctuations near the MPP within PV systems, which improves the stability of the system. Moreover, the algorithm has strong worldwide and local search options, which can locate the maximum power in complex environment.”

The original Rime was introduced in 2023 And has been applied in different areas. It uses the analogy of Rime Frost to balance exploitation and exploitation options. That is, by distinguishing between soft and hard rime: although the first is slow and random and therefore analogous to the exploration possibilities, the second is fast and directive and is therefore analogous to reduce solutions based on promising regions.

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“Our study is going in three aspects in three aspects about the improvements to the figure optimization -algorithm,” the scientists explained. “Firstly, the initial population is generated by using a logical mapping approach, which ensures that individuals are uniformly spread in the solution domain, which effectively improves the diversity of the population. Secondly, by designing pieces, the algorithm is deposited, which makes the congetness of the converts of the roughness and robustness of the robustness of the robustness of the robustness and robustness of the robustness and robustness, and robust Algorithm.

To test the new Irime algorithm, the team simulated five PV panels that are linked in a series, against PSO-MPPT and Rime-MPPT. The testing was carried out in the MatLab simulation software. In the first case, of uniform lighting, the temperature was set to 25 ° C and all panels were given an irradiation of 1,000 W/m². In the shadow scenario the temperature was set at 25 ° C and the irradiation per panel was 800 W/m², 800 W/m², 600 W/m², 600 W/m² and 400 W/m².

In a further scenario of sudden changes in lighting, the temperature was also constant at 25 ° C, but while in the first 0.6 S 1,000 W/m2, 1,000 W/m2, 800 W/m2, 800 W/m2 and 600 W/m2 measured; In the next phase it changed to 800 W/m2, 800 W/m2, 600 W/m2, 600 W/m2 and 500 W/m2 respectively. In the last scenario of sudden changes, both in lighting and in temperature, the temperature in the first 0.6 sec was 35 ° C and 25 ° C in the second phase. The initial radiation was 1,000 W/m2, 1,000 W/m2, 800 W/m2, 800 W/m2 and 600 W/m2, and was then changed to 800 W/m2, 800 W/m2, 600 W/m2, 600 W/m2 and 400 W/m2.

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“In comparison with PSO-MPPT and RIME-MPPT, the proposed method reduced the average tracking time by 0.085 seconds and 0.425 seconds respectively. In addition, the proposed method, the proposed method, respectively achieved an average improvement of 0.97% and 3.48% compared to the above-mentioned methods and the results respectively in particular in particular, in particular in particular, in particular in particular, in particular, and in particular in particular, in particular, and in particular in the same system. Temperature conditions, the proposed method consistently achieves the best results, making the efficient, stable and fast-convergent characteristics in MPPT strategies for PV systems. “

The new algorithm was presented in “An improved Rime -Optimization -Algorithm -Based Maximum Power Point Tracking -Method for Fotovoltaic System under Partial Shadow Condition“Published in Scientific reports.

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