On June 30, the 2026 China Intelligent Computing Industry Ecosystem Development Annual Conference was held in Shenzhen. Centered on the theme "AI in Every Scenario: The Token Era," the conference brought together organizations from the intelligent computing, energy, and research sectors to discuss key topics including GW-scale AI computing cluster development, the commercialization of token-based applications, and energy efficiency improvements for computing infrastructure. Participants also explored new pathways for the coordinated development of AI computing power and next-generation power systems.
As a leading company in energy technology and power electronics, Guangzhou Zhiguang Electric Co., Ltd. ("Zhiguang Electric") was invited to participate in the event. During the conference, Ji Duopeng, Director of Data Center Solutions at Guangdong Zhiguang Integrated Energy Co., Ltd., a wholly owned subsidiary of Zhiguang Electric, delivered a keynote presentation entitled "Cascaded High-Voltage Direct-Connected Energy Storage and Solid-State Transformer (SST) Solutions for Data Centers and Next-Generation Power Systems." The presentation introduced Zhiguang's SST-based power supply architecture and integrated generation-grid-load-storage solutions designed to address the rapid expansion of AI computing capacity and the growing adoption of renewable energy, providing practical system-level solutions to enhance both power reliability and low-carbon development for intelligent computing centers.
As global AI computing capacity continues to expand at an unprecedented pace, conventional AC power supply architectures are increasingly challenged by lengthy power conversion chains and relatively high energy losses. At the same time, AI workloads are characterized by highly dynamic and burst-like power demands, while large-scale renewable energy integration and increasingly stringent requirements for power reliability place additional pressure on traditional power distribution systems. As a result, conventional power supply architectures are no longer sufficient to support the growing demands of high-density AI computing infrastructure.
An integrated solution centered on Solid-State Transformers (SSTs) and supported by cascaded high-voltage direct-connected energy storage is emerging as a key technology for overcoming these challenges, enabling closer integration between computing infrastructure and energy systems.
As one of China's pioneers in cascaded high-voltage direct-connected energy storage technology, Zhiguang Electric has long focused on the development of high-voltage, grid-forming, highly safe, and highly efficient energy storage technologies. The company continues to advance the integration of SSTs with energy storage systems, delivering end-to-end energy solutions tailored to AI computing applications.
During his presentation, Ji Duopeng addressed the practical challenges encountered in deploying GW-scale AI computing centers. Based on an integrated architecture linking renewable energy plants, dedicated point-to-point transmission lines, and internal power distribution networks within AI Data Centers (AIDCs), he systematically introduced the technical advantages and industrial value of the Zhiguang Coota Solid-State Transformer, cascaded high-voltage direct-connected energy storage systems, and direct renewable energy supply solutions.
The integrated energy solution enables one-stop implementation of medium-voltage AC to 800 V DC power conversion, traceable direct renewable energy supply through dedicated transmission lines, and medium-voltage direct-connected energy storage for fast peak shaving and grid stabilization. It also integrates power quality management, flexible energy storage dispatch, and intelligent system-wide energy management, providing comprehensive support across the entire generation-grid-load-storage value chain. Together, these capabilities deliver a stable, low-carbon, and highly efficient energy infrastructure for AI computing centers.
Zhiguang Electric's participation in the conference not only reflects broad industry recognition of the company's technological capabilities, but also marks a new milestone in its strategic expansion into the rapidly growing AI computing energy infrastructure market.
Against the backdrop of China's 15th Five-Year Plan for the new energy system, the East Data, West Computing initiative, the coordinated development of computing and energy infrastructure, and the country's Dual Carbon goals, the industry is increasingly moving toward greener computing infrastructure, DC-based power supply architectures, and integrated energy systems.
Zhiguang Electric will remain committed to its corporate vision of "Pursuing and Advocating Smart Energy." The company will continue to enhance integrated energy solutions tailored for AI data centers and zero-carbon computing clusters, strengthen the two-way synergy between computing power and energy systems, and contribute to the high-quality, green development of China's intelligent computing industry. Through continuous innovation, Zhiguang Electric will deliver advanced energy solutions that support the integrated development of digital infrastructure and next-generation power systems.
