The First China Intelligent Electric Network Symposium was held in Shanxi, showcasing the continuous advancements in the field of electricity and technology. This event brought together experts from various sectors to discuss developments in intelligent electric networks and their future implications.
Running from April 12 to 13, the symposium was organized by the China Electric Power Technology and Engineering Society in collaboration with leading universities and research institutes. Over 500 participants attended, including scholars, industry professionals, and government representatives.
During the symposium, the focus was on the iES-GTS platform, which serves as a simulation platform for electrical grid dynamics. The discussions highlighted the importance of real-time data and modeling in enhancing the efficiency and reliability of electric networks. The iES-RTGTS platform also played a significant role in the presentations, showcasing hardware simulation capabilities.
Keynote speaker Gao Zhiqiang emphasized the significance of integrating intelligent electric networks with advanced data analytics to improve operational protocols. He pointed out that the industry is transitioning towards a more automated approach, leveraging real-time data to enhance decision-making processes.
Additionally, discussions included the challenges faced in the implementation of intelligent electric networks, such as the need for standardized protocols and regulatory frameworks to support innovation. The participants shared insights on overcoming these challenges, particularly in the context of improving system resilience.
The symposium also addressed the role of electric vehicles in the future of intelligent networks, noting that by 2025, approximately 2.57 million new energy vehicles are expected to contribute significantly to the energy transition.
In closing, the First China Intelligent Electric Network Symposium served as a critical platform for experts to exchange ideas and collaborate on future developments, paving the way for a more sustainable and intelligent energy landscape in China.
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