Group 1 - The core viewpoint emphasizes the role of advanced technologies like AI in accelerating the digitalization and green low-carbon processes in industries, as highlighted by Schneider Electric's executive vice president [1] - The National Energy Administration of China reported an average annual increase in new energy installations exceeding 20 million kilowatts, indicating a rapid growth trend expected to continue during the 14th Five-Year Plan period [1] Group 2 - The distribution network is a crucial component of the power system, serving as a hub connecting energy production and consumption, and is essential for optimizing energy structure and achieving low-carbon transformation [2] - Schneider Electric's vice president identified four key transformation directions for the distribution network: improving supply reliability, deepening the integration of innovative technologies like digital twins and AI, developing flexible solutions to accommodate increasing renewable energy penetration, and implementing carbon management throughout the distribution network's lifecycle [2][5] Group 3 - The National Development and Reform Commission and the National Energy Administration issued guidelines for high-quality development of the distribution network, aiming for a more robust and clear network structure by 2025, with a focus on digital transformation and flexibility by 2030 [3] - The construction of the distribution network involves integrating distributed renewable energy, new energy storage, smart microgrids, and virtual power plants, necessitating upgrades across various equipment to enhance supply reliability and capacity [3] Group 4 - The importance of flexibility in the distribution network is increasingly recognized, especially with the integration of large amounts of renewable energy, which necessitates reliable and responsive grid systems [5] - The transition to a new power system imposes new requirements on the reliability, flexibility, and sustainability of distribution equipment, with a focus on enhancing digital capabilities to address challenges in renewable energy consumption [5]
配电网数智化是破解新能源并网难的关键
Zhong Guo Neng Yuan Wang·2025-06-03 07:53