新型电力系统有了"智慧大脑" 12月19日，由怀柔国家实验室与南方电网公司联合主办的人工智能电力生产大模型发布会暨示范应用签约仪式在北京举行， 正式发布了底层架构创新的原生电力专业大模型——NWHR电力生产大模型（AI EPS V1.0）。作为驱动新型电力系统"透明 运行"重要的智能内核，这是世界上首个从底层架构源头创新的原生电力大模型，是按照电力系统特性打造、专属于电力系统 的专业大模型。 在智慧性上，研发团队设计了异构空间语义对齐单元，建立准确理解电力系统技术准则的核心中枢，将电网复杂风险评估准 确率大幅提升，有力支撑高比例新能源接入下电网的安全、高效、自主运行。 本次发布的NWHR电力生产大模型已在南方电网云南大理供电局成功试用。据悉，自试用以来，系统将调度方案生成时间从 小时级缩短至分钟级。通过提升新能源消纳能力，预计为大理电网年增绿电超1.2亿千瓦时，每年减排二氧化碳约6万吨。 记者在现场了解到，该成果是怀柔国家实验室与南方电网公司落实新型举国体制，开展有组织科研的典型实践。2023年，南 方电网发布了我国电力行业首个大模型——南网"大瓦特"，构建了开放的人工智能模型体系。同年，怀柔国家实验室携手南 ...

1 2月19日，由怀柔国家实验室与南方电网公司联合主办的人工智能电力生产大模型发 布会暨示范应用签约仪式在北京举行。国务院国资委秘书长庄树新、科技部六司副司长 王嵩、国家能源局科技司副司长徐继林，南方电网公司董事长、党组书记孟振平，怀柔 国家实验室主任、中国工程院院士汤广福，周孝信、杨奇逊、李立浧、周守为、岳光 溪、郭剑波、刘吉臻、孙金声、舒印彪、王秋良、王成山、曾嵘、毕天姝、别朝红、李 剑、许和连、石伯明等院士专家，浦江国家实验室、清华大学、西安交通大学、湖南大 学、华北电力大学、重庆大学、东方电子集团、北京智谱华章科技股份有限公司等单位 代表，以及北京市科委、中关村管委会，怀柔区委区政府负责同志出席活动。 ●在智慧性上 ，研发团队设计了异构空间语义对齐单元，建立准确理解电力系统技术准 则的核心中枢，将电网复杂风险评估准确率大幅提升，有力支撑高比例新能源接入下电 网的安全、高效、自主运行。 ▲签约仪式现场。（赖增鹏 摄） 2 0 23年，南方电网正式发布了我国电力行业首个大模型——南网"大瓦特"，构建了开放 的人工智能模型体系。此次活动上正式发布了 底层架构创新的原生电力专业大模型—— NWHR电力生产大模 ...

Core Insights - The 2025 Power Information Communication New Technology Conference was held in Wuhan, focusing on cutting-edge technologies and development trends in power information communication, promoting green and low-carbon energy transition, and supporting the construction of new power systems [1] - Over 800 representatives from various sectors including grid companies, power generation groups, power construction units, research institutions, and the information communication industry attended the conference [1] Group 1: Challenges and Innovations - ZTE's General Manager of Wired Products, Hu Junjie, highlighted three core challenges facing the new power system: reverse distribution of energy production and consumption, peak regulation bottlenecks in the power grid, and large-scale growth in load [3] - The concept of "Electricity Computing Symbiosis" was introduced, advocating for the establishment of a "safe, efficient, flexible, and intelligent" new power communication network system [3] Group 2: Solutions and Technologies - ZTE showcased a full-stack solution themed "Green and Low Carbon, Smart Power," presenting innovations in power communication and digital business [4] - New generation fgOTN solutions enhance the resilience of the main network; high-isolation GPON, industrial Ethernet switches, and SPN-CPE are introduced to support transparent distribution and integrated power networks [4] - Innovative scenarios such as digital substations effectively support quality and efficiency improvements in power production; the decoupled power intelligence application meets AI scenario demands [4] - The new generation of domestically produced video conferencing solutions achieves full compatibility and autonomy; GoldenDB distributed database and self-developed operating systems lay a solid digital foundation for the development of new productivity in the power industry [4] Group 3: Future Directions - ZTE will continue to focus on underlying technological innovation, leveraging information communication technology advantages to deepen the integration of communication technology with power business [6] - The company aims to explore new scenarios and technologies such as integrated source-grid-load-storage, new power systems, virtual power plants, and large-scale power models, contributing to the digital transformation of the power grid and the construction of new power systems [6]

Core Insights - The second "Insurance Cup" AI Power Trading Competition was successfully held in Guangzhou, aimed at fostering the development of professional talent in power trading and enhancing awareness of new risks in the market [1][3] - The competition attracted participation from 207 power sales companies, universities, and research institutions across the country, utilizing the Shanxi power trading rules as a practical foundation [1] - The event was supported by the Beijing Power Trading Center and featured a high-fidelity simulated trading environment for participants to gain practical experience [1][3] Competition Highlights - A total of 26 outstanding teams were recognized based on their performance in long-term trading, spot trading, and deviation management [1] - The top three teams were Beijing Xintai Energy, Power Manager Group, and Chao Liu Energy Technology Company [1] - The competition is noted as the first national-level simulated power trading competition organized by the insurance industry, setting precedents in practical training simulations for power trading [3] Expert Involvement - During the event, industry experts and scholars were invited to provide in-depth interpretations and share experiences on AI and large models in power trading [3] - The competition provided policy guidance and cutting-edge information support for power sales entities [3] Organizational Background - The Yingda Power Sales Co-insurance Body, led by Yingda Taihe Property Insurance Co., includes members such as Taikang Property Insurance, China Life Property Insurance, and others [3] - It is the only co-insurance body in the country that provides service guarantees for the performance risks of power trading by sales companies [3]

Core Points - The company has initiated a special power supply guarantee for the upcoming 2025 college entrance examination, ensuring reliable power supply for 445 examination venues across 266 locations in Guangxi [1] - The company has deployed 94 emergency power vehicles, 73 generators, and assembled an emergency team of over 3,900 personnel, along with more than 2,500 repair vehicles to ensure power supply security [1] - The company has implemented an AI-driven smart power supply execution platform in Nanning, enhancing the monitoring and management of power supply during the examination period [1] - Advanced monitoring techniques, including drone inspections and digital remote monitoring, have been employed to inspect 485 substations and 1,168 power distribution lines, identifying and addressing over 700 defects [1] - The company will maintain a 24-hour emergency duty system during the examination period, with personnel and power vehicles stationed at examination sites for immediate response to any emergencies [2]