Electric heating comprehensive energy system scheduling method and system

The invention relates to an electric heating comprehensive energy system scheduling method and system. The method comprises the following steps: aiming at the output uncertainty of a wind turbine generator, comprehensively considering the output under each scene through a scene technology to simulat...

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Bibliographische Detailangaben
Hauptverfasser:	ZHONG JIAQING, ZHANG XIAOHUI, GONG HONGLIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention relates to an electric heating comprehensive energy system scheduling method and system. The method comprises the following steps: aiming at the output uncertainty of a wind turbine generator, comprehensively considering the output under each scene through a scene technology to simulate the uncertainty, and determining the probability of a wind power output scene; according to the composition structure model of the electric heating comprehensive energy system, an electric heating comprehensive energy optimal scheduling model with the maximum comprehensive energy economic benefitis determined; establishing a fuzzy WCVaR optimization model; optimizing by adopting a fuzzy WCVaR optimization framework according to the electric heating comprehensive energy optimization schedulingmodel and the wind power output scene probability, and establishing a fuzzy WCVaR electric heating comprehensive energy system income risk optimization model; and solving the income risk optimizationmodel of the fuzzy WCVaR e