At the Mengjia Fangzi photovoltaic power station in Tianjin's Jinghai district, 300,000 solar panels turn slowly to follow the sun each day, resembling a vast field of deep-blue "sunflowers." However, just over a year ago, the movements of these "sunflowers" were inconsistent—some lagged, others stalled midway—resulting in significant amounts of sunlight being wasted. The situation has now been transformed by a "self-organizing precision sun-tracking system" independently developed by the station's young maintenance team. Remarkably, the inspiration for this innovation came from observing busy ants on the ground.
Behind the seemingly minor issue of "close enough" lay an annual loss of 9 million kilowatt-hours of electricity. In 2024, Huang Guoxuan, fresh out of university, joined the Mengjia Fangzi photovoltaic power station operated by Jingneng Clean Energy's Beijing branch. Under the guidance of his mentor, senior technician Xing Yongjie, he noticed that Xing would head to the solar array before dawn every day with a notebook, and later sketch complex formulas and curves in the control room, as if deciphering a code. When Huang asked what he was working on, Xing pointed outside and explained his goal: to make the "sunflowers" turn more accurately and quickly to generate more power. Huang initially thought the automatic tracking was "close enough," but a site visit at noon changed his perspective. He observed panels in the third row turning with a delay, those in the seventh row stuck, and others swaying erratically, with shadows dancing between the modules. Back in the control room, Xing showed him the data: "I calculated that due to inaccurate bracket movement, each panel loses about 30 kilowatt-hours per year. With 300,000 panels at this station, that's 9 million kilowatt-hours annually—enough to power 10,000 households for a year." Huang was stunned, realizing that "close enough" was far from sufficient.
The "antennae of ants" provided the breakthrough for solving the communication problem. The root cause was the original control system. The control room was 8 kilometers from the farthest solar modules, and signals transmitted via communication lines and wireless methods were susceptible to spatial loss, obstructions, and fog, causing command delays or losses and resulting in unsynchronized panel movements. Huang took the initiative, forming a youth innovation team with several young colleagues under a "Party Building + Dual Carbon" initiative. They experimented with adjusting signal transmission methods and debugging hardware, enduring 17 failures. During the 18th test, the first row of modules turned accurately, but the triumph lasted only 37 seconds—modules at the far end still showed a 1.8-degree deviation. Morale plummeted. As Huang sighed by the solar array, he noticed a group of ants orderly carrying biscuit crumbs, communicating by touching antennae. The idea of "collision... transmission..." sparked an inspiration. He rushed back to the control room and proposed to his mentor: "What if we make each panel act like ants touching antennae, allowing adjacent modules to synchronize data autonomously? Could that solve the signal lag issue?" Xing's eyes lit up: "That's a novel approach. Let's try it!"
The "self-organizing network" significantly improved sun-tracking accuracy. Huang explained the principle: the traditional method was like "broadcasting a message"—the control room sent a single command to all photovoltaic modules, but distant ones might not hear it clearly or at all. In contrast, the "self-organizing precision sun-tracking system" turns each panel into an "intelligent agent." Using low-power Zigbee communication technology, the panels automatically form a local wireless network. Within this network, commands no longer rely solely on the distant control center. Any panel, based on the optimal angle calculated by its own light sensor, can immediately "inform" its neighboring panels. Information is passed quickly and reliably from panel to panel, like a relay baton, enabling synchronized movement across the entire area. Even if a panel temporarily misses the control room's "broadcast," it can receive the synchronized instruction from its "neighbors," effectively providing a "dual insurance" for the station's sun-tracking control.
The team's determination was reignited. They introduced algorithm models to parse complex communication codes, repeatedly verified and overcame protocol setup errors, and worked on-site to adjust hardware layouts for better interference resistance. After dozens of days and nights, the "ant messaging" concept became a reality—the "self-organizing precision sun-tracking system" module was successfully developed. At 5 a.m., as dawn broke, the first row of brackets began to turn slowly, followed by the second, the third... The entire photovoltaic array turned uniformly to the optimal angle in an orderly manner. The system displayed a tilt angle error of no more than 0.1 degrees! The control room erupted in applause. Xing smiled at his apprentices and said, "Impressive. You found inspiration even from ants. With this level of precision, we can utilize solar energy much more effectively."
It is reported that this system is continuously being iterated and upgraded. Calculations indicate that its full application can significantly enhance the power station's generation efficiency. Currently, this "self-organizing precision sun-tracking system," embodying the ingenuity of young technicians, is gradually being promoted across various photovoltaic stations under Jingneng Clean Energy's Beijing branch, serving as an effective means to improve operational performance.
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