Heat power plant heating network monitoring system

Abstract

The invention discloses a heat power plant heating network monitoring system, which comprises a field device layer, a centralized monitoring later, an information management layer and a network for connecting the layers. The heat power plant heating network monitoring system has the beneficial effects that integration of management and control for the heating network is realized. energy managementand control for the heating system are combined, centralized and dynamic balance control on the heating network is realized, hydraulic balance and thermodynamic balance for a primary network can be effectively solved, and optimal control and decision support for energy conservation and consumption reduction can be realized.

Description

technical field [0001] The invention belongs to the technical field of electric power systems, and relates to a monitoring system for a heating network of a thermal power plant. Background technique [0002] Centralized heating is generally used for heating in winter in northern my country. Thermal power plants send hot water to heat exchange stations in residential quarters and enterprises through urban high-temperature heating pipelines. In the heat exchange station, the hot water in the high-temperature pipeline and the hot water in the secondary network exchange heat through the heat exchanger. After heat exchange, the hot water in the secondary network flows into each living room. In the above process, the heat supply dispatching department needs to conduct centralized real-time monitoring of parameters such as heat, temperature, pressure, flow, liquid level and other parameters in the first station and heat exchange station scattered in different geographical locatio...

AI Technical Summary

Problems solved by technology

The functions of these systems in terms of energy monitoring, statistics, and energy forecasting are often lacking, and cannot effectively solve the hydraulic balance and thermal balance of the pipeline network.

Lack of energy consumption data analysis, heat network dynamic balance scheduling analysis, heat load forecasting, energy-saving optimization decision support, system fault diagnosis, automatic control system stability and reliability, and anti-interference design are usually relatively weak

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