A monitoring data evaluation system and evaluation method of thermal storage electric boiler consumption system

Abstract

The invention provides a monitoring data evaluation system and an evaluation method for a heat storage electric boiler consumption system, and relates to the field of production scheduling in a production workshop of a manufacturing enterprise. The system includes three modules: data collection for thermal storage electric boiler monitoring, improved rank correlation calculation and fuzzy evaluation; the method includes: collecting system monitoring data; constructing a small sample space; optimizing the data in the small sample space; obtaining all Rank correlation of system monitoring data relative to the same system index; construct variable vector group and rank correlation vector; obtain membership matrix; obtain comprehensive evaluation vector and convert it into scoring score. The monitoring data evaluation system and evaluation method of the thermal storage electric boiler consumption system provided by the present invention can still obtain accurate rank correlation when the index set is too large, and divide the data generated by the real-time operation of the thermal storage electric boiler to obtain Influencing factors under different indicators, and make a comprehensive evaluation for the indicators, and provide data support for the adjustment of each indicator.

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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