Large-scale grid regulation system clustering key technology research project experience
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China Instrument Network Instrument R&D On September 20, 2017, the State Grid Corporation of China held an acceptance meeting for a "Study on key technologies for clustering of ultra-large-scale grid regulation systems" in Nanjing, Jiangsu. Experts at the meeting listened to reports on the completion of the project, reviewed work reports, technical reports, test reports, final accounts and audit reports, supporting supporting materials and other project data. After discussion, they all agreed that the project had exceeded the contents of the mandate. , Formed corresponding results, to achieve assessment indicators, agreed to pass the project acceptance.
The project undertaken by the National R&D Center of NARI Systems put forward a solution to the clustering of super-large-scale power grid regulation systems, developed a system resource dynamic scheduling technology combining multiple allocation strategies, and realized the maximum utilization of cluster resources; Dynamic distributed power real-time data distributed processing technology of the model realizes high-speed parallel processing of real-time data of large-scale power grids; researches and develops data clustering storage technology on-demand and improves data storage access efficiency.
The project closely combines the actual needs of power grid dispatch. The project results provide strong technical support for the construction of large-scale operation and major overhaul systems, and improve the ability to dispatch and control large power grids. The research results of the project have been demonstrated in the Suzhou Power Grid. The follow-up will be applied to the smart grid dispatching control system for multi-level dispatching at the national, network, provincial and territorial levels to further enhance the technical level and application level of the system, bringing significant economic benefits and social benefits. benefit.
(Original title: The key technology research project for clustering of ultra-large-scale grid regulation systems passed acceptance)