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Layanan Digital O&M berlangganan

MLPE (Module-Level Power Electronics) is a device attached to each solar panel for real-time monitoring, power optimization, and emergency shutdown (RSD). Solarlog is the solar plant O&M brand from Conalog, Korea's #1 MLPE manufacturer.

RSD cuts each panel's voltage to 0V within 30 seconds during emergencies. Mandatory in the US (NEC2023) and planned for Korea. The MLPE used by Solarlog includes built-in RSD, with zero fire incidents since deployment.

Results vary by plant conditions, but on average 8%+ generation improvement after MLPE deployment. In heavy-shading environments, up to 15% improvement is achievable. AI-based repowering (cable replacement, rewiring, module repositioning) can further recover lost generation.

Yes. MLPE can be retrofitted to existing plants without replacing inverters, adding monitoring, RSD, and generation improvement capabilities.

With panel-level remote diagnostics, we have detected and resolved over 500 risks per year without site visits. O&M costs are reduced by approximately 50%, and AI diagnostic costs are 95% cheaper than conventional on-site inspection.

Yes. The MLPE solution used by Solarlog is certified as a Government Innovation Product, enabling direct contracts with public institutions. RSD-based fire safety also strengthens EPC contractors' competitiveness in public tenders.

Layanan Solarlog terdiri dari diagnosis pembangkit dan Solarlog O&M berlangganan. Diagnosis pembangkit didaftarkan melalui ketentuan diagnosis Solarlog O&M Dasar — menemukan penyebab asli masalah hingga tingkat panel dan memberikan laporan diagnosis mendalam. Solarlog O&M adalah satu paket: mulai dengan Dasar dan perluas dengan bebas memilih opsi Peningkatan (naikkan produksi), Perawatan (pemeliharaan ringan), dan Jaminan (jaminan produksi).

A solar power optimizer performs panel-level maximum power point tracking (MPPT) to minimize generation losses caused by shading, contamination, and aging. Results vary by plant conditions, but on average 8%+ generation improvement has been achieved, with up to 15% in heavy-shading environments.

Traditionally it is hard to even tell which component has failed, which drags operating rates down. Because Solarlog sees the plant at the module (panel) level, it pinpoints exactly where the fault is and dramatically raises the operating rate — in an overseas PoC, local staff even located and fixed issues on their own without any guidance. Maintenance time consists of three stages — detecting the event, planning the response, and carrying out the fix — and without underlying data, each stage takes considerable time. Analysis built on panel-level data shortens the whole process, and AI is applied across every step, from detection to action.