A national key R&D project of China Electric Power Research Institute passed the stage assessment

[ China Instrument Network Instrument R&D ] On August 30th, the State Key Research and Development Program led by the Chinese Academy of Electric Power, the smart grid technology and equipment key project “The research and application of key technologies for intelligent dispatching and security early warning of large power grids” was held in Nanjing, Jiangsu Province. The leaders and experts of the State Grid Ministry of Science and Technology, the National Center and the project undertaker participated.

Scheduling is the brain that controls the safe and stable operation of the power grid. It is the basis for maintaining the power production process and an important means to ensure the operation and development of the smart grid. Compared with foreign countries, China's power grid dispatching control technology research started late, but it has developed rapidly, and many technologies have reached the world's leading level.

However, at present, the scale of China's UHV AC-DC hybrid power grid is continuously expanding, the grid operation characteristics have undergone profound changes, and grid dispatch control has also faced new and greater challenges. The existing dispatch control system follows the architecture of the weak interconnect phase of the power grid, and it is difficult to support the demand for large-scale AC/DC hybrid power grid dispatching operation. It is urgent to carry out research on key technologies of integrated intelligent dispatching and security early warning for large-scale AC-DC hybrid power grids, and build an intelligent control platform based on cloud computing concept of 'physical distribution and logical unification' to realize overall coordinated control of large power grids and improve the safety of large power grids. Early warning ability

In 2017, the project “Research and Application of Key Technologies for Intelligent Dispatching and Security Early Warning of Large Power Grid” officially passed the project of the Ministry of Science and Technology. The project will set up five topics around the major requirements of UHV large-scale AC-DC hybrid power grid dispatching operation control, namely intelligent control platform architecture and real-time transparent access technology, and control system on-demand modeling and wide-area data distributed processing technology. And large-scale grid intelligent dispatch control technology with source-source and two-side uncertainty, large-scale integrated online security risk prevention and control and intelligent decision-making technology, and the development and application of integrated operation intelligent control platform for large power grid.

On August 30th, the supervision team conducted rigorous assessments and inquiries on the project management, technical progress, phased results, and financial status of the projects. It was agreed that the project implementation was in good condition and the research progress was in line with the planned schedule. The technical route complies with the requirements of the task book and the phased assessment indicators are all completed.

The project “Research and Application of Key Technologies for Intelligent Scheduling and Safety Early Warning of Large Power Grid” takes “one power grid, one set of models and one set of systems” as the construction goal, and builds the distribution monitoring and large-scale unified analysis and decision-making for large-scale AC-DC hybrid power grid. Control technology support system.

After the completion of the project, China will change the status quo of the analysis and decision-making of the control center in isolation, realize the lean control decision-making within the whole network, and significantly improve the ability of the pre-conceived, pre-judgment and pre-control of the large-scale power grid dispatching, and realize the level of intelligence. "Automatic cruise" for power grid optimization operation and "smart decision" for security risk prevention and control.

(Source: China Electric Power Research Institute, Yinji Network, Ministry of Science and Technology)

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