Big data analysis-based thermoelectric distribution optimization method
The invention provides a big data analysis-based thermoelectric distribution optimization method, which comprises the following steps of: S1, analyzing power supply and heat supply characteristics of a unit, including various data such as a power grid line, a scheduling form, an AGC (Automatic Gain...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides a big data analysis-based thermoelectric distribution optimization method, which comprises the following steps of: S1, analyzing power supply and heat supply characteristics of a unit, including various data such as a power grid line, a scheduling form, an AGC (Automatic Gain Control) condition, unit load daily change, unit load seasonal change, a heat supply form, a heat supply pipe network design, heat supply manufacturer requirements and the like; the invention provides a thermoelectric distribution optimization method based on big data analysis, and the method comprises the steps: carrying out the cleaning and preprocessing of the three-year historical data related to the power generation, heat supply and carbon emission of a power plant through analyzing the power supply and heat supply characteristics of a unit, forming an effective data set, and carrying out the testing through combining with a DEA model, and after a DEA model and input and output indexes are determined, relative |
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