Park integrated energy system master-slave game optimization scheduling method considering dual incentive mechanism

A park integrated energy system master-slave game optimization scheduling method considering a dual incentive mechanism comprises the following steps that 1, a park integrated energy system model is established, and the park integrated energy system model mainly comprises a gas turbine model, a wast...

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Bibliographische Detailangaben
Hauptverfasser:	ZHANG LEI, XU GUANGCHEN, XUE TIANLIANG, FU ZHAOLONG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING 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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Zusammenfassung:	A park integrated energy system master-slave game optimization scheduling method considering a dual incentive mechanism comprises the following steps that 1, a park integrated energy system model is established, and the park integrated energy system model mainly comprises a gas turbine model, a waste heat boiler model, a gas boiler model, an electric energy storage model and a heat energy storage model; 2, building a park integrated energy system master-slave game framework of a dual incentive mechanism considering dynamic stepped carbon transaction and dynamic stepped demand response by using the model built in the step 1; firstly, a park comprehensive energy system model is established; a master-slave game framework of a dual-incentive mechanism comprehensively considering dynamic stepped carbon transaction and dynamic stepped demand response is proposed for the first time on the basis of the model structure; establishing a dual-main-body master-slave game optimization scheduling model by taking benefit max