T/CES 218-2023 Intelligent Control Integration Interface Specification for Thermal Power Plant

Scope

Scope: This document specifies the overall architecture, interface requirements, hardware technical requirements, and software technical requirements for the integrated integration of decentralized control systems and intelligent control applications in thermal power plants. This document is applicable to intelligent engineering projects in thermal power plants, providing rules and guidelines for system integration, development and testing, and engineering design of thermal power plants' decentralized control systems, general intelligent control platforms, and third-party applications. Main technical content: To help achieve the "Double Carbon" goals, adapt to the future development needs of the "Two Highs and One Low" new power system, and promote the consumption of clean energy, it is necessary to enhance the flexibility of thermal power generation and meet the load response requirements of the power grid. In the future, thermal power will transition to regulating power sources, facing operational conditions such as daily cyclical deep peak shaving, rapid frequency regulation, rapid ramp-up, and deep coal blending and combustion, which will lead to increased control difficulty, reduced control quality, and increased monitoring workload. Therefore, it is necessary to introduce more advanced control technologies. Currently, thermal power control system manufacturers are developing intelligent platforms, but there is a lack of unified standards for thermal power intelligent construction, which results in the inability to integrate different brands of intelligent platforms and control systems. The promotion of third-party intelligent applications also faces many adaptation and development tasks, driving up investment and construction costs. By specifying the unified interface design of general intelligent control platforms for thermal power generation in this specification, it is possible to avoid duplicate development, reduce the cost of intelligent investment and co

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