A monitoring data evaluation system and an evaluation method of a heat storage electric boiler absorbing system

Abstract

The invention provides a monitoring data evaluation system and an evaluation method of a heat storage electric boiler absorbing system, which relates to the production workshop scheduling field of a manufacturing enterprise. The system includes three modules: monitoring data acquisition of regenerative electric boiler, improved rank correlation calculation and fuzzy evaluation. The method comprises the following steps of: collecting system monitoring data; Constructing small sample space; Optimizing the data in small sample space; Obtaining rank correlation degree of all system monitoring datawith respect to the same system index; Constructing variable vector group and rank correlation vector; Obtaining membership matrix; Obtaining a comprehensive evaluation vector and converting it to ascoring score. The invention provides a monitoring data evaluation system and an evaluation method of a heat storage electric boiler absorbing system, When the index set is too large, the accurate rank correlation can still be obtained, and the real-time operation data of regenerative electric boiler can be divided into different factors under different indexes, and comprehensive evaluation can bemade for the index, and data support can be made for each index adjustment.

Description

technical field [0001] The invention relates to the technical field of production scheduling in a production workshop of a manufacturing enterprise, in particular to a monitoring data evaluation system and an evaluation method for a thermal storage electric boiler consumption system. Background technique [0002] At present, there are contradictions between the rapid development of wind and solar power plants and the increasingly serious abandonment of wind and light in my country. The development speed of wind power has exceeded the development status of the power grid and power load, leading to the increasingly serious issue of wind curtailment. The national curtailment of wind power has reached 17.5 billion kWh, and the curtailment rate of wind power is 15.2%. In some areas, the curtailment rate of wind power has even reached 30%-40%. above. Wind curtailment means that wind turbines do not supply power to end users during power generation, while solar curtailment means t...

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Problems solved by technology

[0003] However, since the output of wind and solar power plants is a non-stationary, instant-changing, dynamic random variable, it is an uncontrollable distributed energy source with strong volatility, weak anti-interference ability, intermittent and periodic characteristics.

On the other hand, due to changes in demand for power loads and electric heating loads, in order to achieve real-time consumption of abandoned wind and solar energy and obtain higher economic benefits, it is necessary to divide the factors affecting the operation indicators of the distributed thermal storage electric boiler consumption system, and Score the current operating state, so that when the index is improved, reasonable parameter adjustments can be made; however, in the existing technology, most of the research focuses on the thermal storage electric boiler as a real-time consumption virtual power plant. The research on the influence of various influencing factors on the state of the thermal storage electric boiler consumption system makes it difficult to know which factors should be adjusted separately when the operation status of the consumption system needs to be adjusted, if it is necessary to improve the heating effect of the user and improve the economy. The thermal storage electric boiler absorbs the abandoned wind and light, and the operating efficiency of the absorbing system is not high, which affects the heating needs of users and cannot achieve good economic benefits

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