Smart power plant integrated monitoring and management system

Abstract

The invention discloses a smart power plant integrated monitoring and management system which comprises a smart management and control platform, a multi-energy flow IEMS network switch and a factory-level DCS; a smart management and control platform comprises a 10 Gigabit network switch, a server and a smart management and control platform administrator station; the server comprises a redundant real-time data server, a redundant non-real-time database server, a smart business decision-making application server, an energy trade transition application server and other software application servers; the server and the smart management and control platform administrator station are connected with the 10 Gigabit network switch; the factory-level DCS has two ways to upload externally; and the multi-energy flow IEMS network switch has two ways of upward interfaces. The system has the benefits that: a linkage application case after intelligent subsystems are accessed is planned, so that the design integrity of the smart power plant is stronger; combined with a DCS control system, the extension of automatic control range to the automatic control of the whole process operation is realized; and the smart power plant is endowed with the ability to integrate with the overall design of upper-level smart parks and smart cities.

Description

technical field [0001] The invention relates to a comprehensive monitoring and management system for a smart power plant. Background technique [0002] The background technology related to this program includes 4 aspects: [0003] 1. Factory-level DCS system [0004] On the basis that the main and auxiliary control of the power plant adopts the same DCS control, an integrated and unified control network platform is set up to realize the monitoring and control of all production systems in the plant, and can complete plant-level performance calculation and calculation on the basis of a unified database. Analysis, plant-level load distribution and control optimization. Plant-level DCS technology has completely changed the long-standing principle of separation of unit units and auxiliary workshops in domestic power plants. [0005] 2. Fire alarm and fire linkage control [0006] After the fire detector of the power plant detects a fire signal, it can automatically cut off th...

AI Technical Summary

Problems solved by technology

[0021] Although APS has been able to realize the self-starting and coordinated control of the unit from the cold state, warm state, hot state and extremely hot state, the scheduling of the power generation plan and the load of the unit during operation still needs to be confirmed manually

The existing theory and technology of multi-energy flow energy management has been researched and matured, and has the ability to be implemented, but there is no overall design of IEMS network, DCS network and power plant intelligent management and control platform in the project

[0022] 2. Insufficient intelligence of production management (for existing technologies (3), (4), (5), (6))

[0023] After the SIS / MIS network is combined, an integrated power plant supervision system has been formed. Although the fire alarm system and CCTV system have been connected to power plants, they still cannot adapt to the development trend of smart power plants, and the intelligent inspection system and intelligent personnel are not positioned. System, intelligent security management system and many other subsystems related to power plant production management are connected, so the intelligent linkage between functional modules cannot be realized

For the equipment diagnosis and maintenance of power plants, the current level is still within the scope of the plant, and automatic fault identification and remote diagnosis cannot be realized

[0024] 3. Insufficient intelligence in operation and management

[0025] Operation management is the focus of power plant management, especially in the era of energy Internet, the operation of power plants fluctuates greatly due to the influence of the market environment, and it is obvious that manual data collection and analysis can no longer meet the needs of smart power plants

In addition, most of the current power plants ignore the power plant operation analysis based on equipment performance, often resulting in more and more losses

[0026] 4. The simulation training method is single (for the existing technology (7))

[0027] Although the current simulation training has been able to improve the simulation accuracy by using the same software as DCS, it still stays at the two-dimensional level, and does not consider combining the 3D model of the power plant to develop more realistic 3D simulation models and 3D model development scenarios Optimized training software, thereby improving the intuitive experience of simulation trainers

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