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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Hauptverfasser: HAN XUEYI, LIN JIASIPU, BAI XIAOCHEN, WANG ZHIKUN, LI XIAOGANG, HU ZHIWEI, ZHOU ZHONGHAI, SUN RUIXIA, DENG MAOZHI, TANG XUEMEI, XU RUI, CHEN WEIHUA, CHEN XUANLONG, LI JUNCHU, YANG GUOQING, HUANG YUZHOU, TANG PINGLIANG
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