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寒冬坚守筑牢“电站心脏”
Xin Lang Cai Jing· 2026-02-08 21:40
Core Insights - The Tianjin North 1000 kV UHV substation is a key project under China's "14th Five-Year" power planning, with construction ongoing despite the approaching Spring Festival [1] - The project is expected to enhance the regional power grid's transmission capacity by over 40% and facilitate the consumption of more than 30 billion kWh of renewable energy annually, supporting industrial upgrades and public welfare in Tianjin and surrounding areas [1] Construction Progress - The construction site is busy with heavy machinery, including cranes lifting steel columns that are 21.19 meters long and weigh over 11.5 tons, indicating that the installation of the steel structure is in a critical phase [1] - The substation covers an area of 15.48 hectares and will feature two sets of 3000 MVA main transformers, with completion scheduled for 2027 [1] - As of now, 53% of the total project volume has been completed, with plans to finish the foundation and steel structure installation for the 1000 kV equipment before the Spring Festival [2] Safety and Quality Measures - The project has implemented winter construction adjustments, including the use of 35 sets of heating equipment and over 500 pieces of labor protection gear to ensure concrete strength meets standards [2] - A joint supervision team comprising technical experts, safety officers, and supervisors conducts daily checks on construction quality and safety measures [2] - The main transformer, described as the "heart" of the substation, requires high standards for safety and structural integrity, particularly for the oil pool that will support thousands of tons of transformer body and insulating oil [2]
中国电建第八届进博会签约金额达3.35亿美元,创历史新高
Xin Lang Cai Jing· 2025-11-06 23:32
Core Insights - China Power Construction Group achieved a record signing amount of $335 million at the 8th China International Import Expo held in Shanghai from November 5 to 6 [1] - The company has participated in the expo for eight consecutive years, with a cumulative signing amount exceeding $1.5 billion [1] Signing Details - The signing ceremony on November 6 included agreements with major companies such as Siemens Energy, Hitachi Energy, Toshiba, Schneider Electric, and Honeywell [1] - The signed equipment primarily consists of hydraulic turbine main units, main transformers, and GIS equipment [1]
国网陇南供电公司:奋战保供电 主变焕新颜
Core Viewpoint - The company is undertaking a critical upgrade of the 110 kV Tonggu Substation to enhance power supply reliability and meet the growing energy demands of the surrounding regions [3][4]. Group 1: Project Overview - The 110 kV Tonggu Substation, operational since 2003, plays a vital role in energy transfer and stability for the Chengxian area of Longnan City [3]. - The upgrade is necessitated by the aging of two main transformers, which have been in operation for 22 years, and their insufficient load-bearing capacity [3][4]. Group 2: Technical Improvements - The upgrade plan includes a comprehensive replacement of the existing outdoor 110 kV open-type electrical equipment with HGIS combined electrical equipment, significantly reducing environmental damage from dust, humidity, and salt mist [3][4]. - The project aims to optimize power distribution, enhance grid stability, and meet diverse user demands [3][4]. Group 3: Safety and Execution - The company has implemented strict safety measures and detailed repair plans, focusing on various critical processes such as power outage arrangements, equipment installation, and testing [4]. - Technical experts from Yunnan Transformer Manufacturing Plant have been invited to ensure professional guidance throughout the project [4]. Group 4: Project Impact - Upon completion, the upgraded substation will improve the reliability of the power supply in the Chengxian area, leading to a more rational grid structure and enhanced operational flexibility [4]. - The project is expected to contribute to the stable economic development of the local area by ensuring safe and reliable power supply [4].
“光伏+自然”绘就美丽画卷
Ren Min Wang· 2025-08-02 22:04
Core Viewpoint - The Belvis photovoltaic power station project, developed by China Three Gorges Corporation and constructed by China Railway Construction International Investment Co., showcases a successful model of green cooperation between China and Spain, emphasizing ecological protection and advanced technology in renewable energy [2][4]. Group 1: Project Overview - The Belvis photovoltaic power station covers an area of approximately 1.81 million square meters, with a total installed capacity of 104 megawatts and an annual power generation of about 200 million kilowatt-hours, officially commencing full-capacity commercial operation in March this year [2]. - The project integrates ecological considerations from the selection of the site, avoiding sensitive ecological areas and implementing wildlife corridors, while construction methods were chosen to minimize disturbance to the local environment [2][3]. Group 2: Technological Innovations - The power station employs advanced technology, including a high-efficiency drone inspection system that utilizes high-definition aerial photography and thermal imaging to quickly identify faults in photovoltaic components, significantly improving response speed and accuracy in maintenance [3]. - Plans for further automation and intelligent operation equipment, such as automatic cleaning devices and mowing machines, are in place to enhance operational efficiency during the station's operational period [3]. Group 3: Economic and Industrial Impact - The project utilizes core facilities such as photovoltaic modules and inverters that are manufactured in China, highlighting China's global competitiveness in the renewable energy manufacturing sector and positively influencing local equipment standards and industrial chain development in Spain [4]. - The Spanish government aims for renewable energy to account for 81% of its electricity structure by the end of 2030, accelerating the layout of new energy projects, while Chinese companies bring advantages in technology integration and industrial chain consolidation to support Spain's energy transition [4].
国网兰州供电公司:完成金泉主变更新 消除隐患保障电网稳定运行
Core Points - The State Grid Lanzhou Power Supply Company successfully completed the replacement of the No. 2 main transformer at the 110 kV Jinquan Substation, significantly enhancing equipment reliability and providing strong power support for Yongjing County during peak summer demand [1][3] Group 1: Project Details - The replaced No. 2 main transformer had been in operation for a long time and was found to have insulation aging issues during routine testing [3] - The company adhered to equipment lifecycle management requirements and developed a scientific plan for the overall replacement [3] - The new transformer features energy-saving and environmentally friendly designs, further improving operational reliability [3] Group 2: Risk Management and Safety Measures - The project implemented a "five-level five-control" risk management mechanism throughout the replacement process [3] - A risk control card was prepared to assess risks associated with critical operations such as hoisting, working at heights, and hot work, along with targeted preventive measures [3] - Safety measures included physical isolation of hazardous areas, visual warning signs, and a staggered work schedule to mitigate heat exposure, ensuring personnel health and operational safety [3] Group 3: Future Plans - The company plans to continue identifying and addressing potential hazards in the power grid, enhancing safety through equipment upgrades and technological improvements [3] - The goal is to provide more reliable and stable power support for local economic and social development [3]
新型电力系统中人工智能应用与扩展
上海交大· 2025-03-04 05:24
Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The new generation of artificial intelligence (AI) is built on big data, high-performance computing, and machine learning, significantly advancing AI technology [13][160]. - AI applications in power systems include load forecasting, renewable energy output prediction, fault diagnosis, and scenario generation, indicating a strong trend towards digitalization and intelligent management in the energy sector [61][160]. - The integration of AI with blockchain and digital twin technologies is expected to enhance operational efficiency and decision-making in power systems [94][160]. Summary by Sections Artificial Intelligence Overview - AI is defined as a system that combines theories, technologies, and methods inspired by neuroscience, focusing on high-performance computing, big data, and machine learning [13][12]. AI Models - Various machine learning algorithms, including Support Vector Machines (SVM) and Decision Trees (DT), are widely used for predictive analytics in different applications [23][28]. AI Applications in Power Systems - AI is utilized for load forecasting, renewable energy output prediction, and fault diagnosis, employing models like LSTM and GAN for enhanced accuracy and efficiency [61][65][74]. - The report highlights the use of deep learning techniques for diagnosing faults in power distribution networks, particularly in complex scenarios like single-phase grounding faults [69][148]. AI Extensions - The report discusses the potential of federated learning in addressing data privacy issues in power systems, allowing for collaborative model training without compromising sensitive information [44][55]. - The application of blockchain technology in virtual power plants is explored, emphasizing the need for transparency and efficiency in energy trading [94][96]. Digital Twin Technology - Digital twin technology is presented as a means to create a virtual representation of physical systems, facilitating real-time monitoring and predictive maintenance in power systems [101][108]. Conclusion - The report concludes that the advancements in AI, combined with emerging technologies like blockchain and digital twins, will play a crucial role in the future development of intelligent power systems, enhancing their operational capabilities and resilience [160].