Sigenergy Enters Utility-Scale PV With New Inverter Platform

Sigen PV H1/H2 platform features 1,000 V, 506 kW inverter targeting cost reduction and yield optimization
Sigenergy utility pv inverter
Caption: Roy Zhang, President of Global Sales and Service at Sigenergy, presenting the company’s new utility-scale PV inverter platform at the Nantong Smart Energy Center launch event.(Photo Credit: TaiyangNews)
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Key Takeaways
  • Sigenergy introduced its Sigen PV H1/H2 series as a new utility-scale inverter platform with up to 506 kW output

  • The inverter design targets ~19% BOS cost reduction and 1.5% higher energy yield

  • The platform integrates MPPT-level diagnostics and AI-enabled forecasting to improve system performance and operations

  • The company also introduced a 166.6 kW C&I inverter with integrated system features

The solar and energy storage market is becoming increasingly complex, driven by grid congestion, curtailment, and dynamic electricity pricing. As a result, inverters are evolving beyond power conversion devices to play a central role in system control, monitoring, and optimization. This shift is driving companies to expand their inverter portfolios and integrate advanced digital capabilities.

China-based energy storage manufacturer Sigenergy introduced new products across various application segments during the launch event of its Nantong Smart Energy Center in Nantong, Jiangsu Province, China. Speaking at the event, Roy Zhang, President of Global Sales and Service at Sigenergy, outlined the company’s ‘AI in All’ strategy, referring to the integration of AI-driven capabilities across energy management and system control. The company also introduced a new inverter portfolio targeting commercial and utility-scale applications.

Utility-Scale Inverter Platform

Sigenergy introduced its H1/H2 series as a new utility-scale PV inverter platform, marking its entry into the high-power inverter segment.

At the utility scale, the H1 series offers up to 506 kW capacity with 18 MPPTs. The platform operates at 1,000 V, compared to conventional 800 V systems. This higher voltage enables approximately 19% BOS cost savings and contributes to around 1.5% higher energy yield. It also supports up to 1,650 V DC input voltage, enabling longer string configurations of up to around 28 to 32 modules per string, depending on system design and operating conditions. This reduces cabling requirements and contributes to overall BOS cost savings.

The inverter integrates safety features focused on early fault detection and controlled system response. Arc fault detection extends up to 500 meters with millisecond-level response, enabling rapid isolation and reducing fire risk. A 2-string-per-MPPT architecture limits fault current under abnormal wiring conditions, improving electrical safety. Temperature monitoring is enhanced through multi-point sensing, supported by up to 39 sensors and 3-stage thermal protection to balance safety and system availability.

For operations and maintenance, the platform supports geotagging and MPPT-level fault diagnostics. MPPT-level fault detection reduces troubleshooting scope significantly, enabling up to 15× faster fault identification than conventional inverter-level diagnostics. The platform also incorporates AI-enabled generation forecasting to support plant-level performance optimization and revenue management.

C&I Inverter

For commercial applications, Sigenergy introduced a 166.6 kW inverter featuring 9 MPPTs, LAN-based communication, and an integrated energy management system, eliminating the need for a smart logger. The inverter supports up to 100 parallel units, allowing a scalable system design.

According to the company, this configuration reduces balance-of-system costs by around 9%, while increasing energy yield by approximately 1%. The inverter also features a high power density of up to 717 kW/m³, supporting a more compact system design.

In addition, Sigenergy introduced a design and simulation tool that allows users to input electricity tariffs, load profiles, operating modes, and system costs. The platform generates optimized system configurations based on objectives such as maximizing internal rate of return or PV utilization. It also produces customizable reports for project development and customer engagement.

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