Multi-energy flow virtual power plant distributed robust self-scheduling optimization method and application thereof

• Main Authors: FANG FANG, YUAN ZHIWEI, YU SONGYUAN
• Format: Patent
• Language: Chinese; English
• Published: 12.04.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a multi-energy-flow virtual power plant distributed robust self-scheduling optimization method and application thereof, and the method is a multi-energy-flow virtual power plant distributed robust self-scheduling optimization method based on a Wasserstein distance, and comprises the following steps: building a multi-energy-flow virtual power plant self-scheduling model, and determining a self-scheduling model objective function; establishing a multi-energy flow VPP operation model; establishing a power grid model; establishing a heat supply network model; establishing a gas network model; an HOMIE model is established; and solving the self-scheduling model. After processing by the method, the provided distributed robust self-scheduling model can be directly solved through a commercial solver such as CPLEX to obtain an optimal scheduling scheme, so that multi-energy-flow collaborative optimization regulation and control of the virtual power plant considering carbon capture are realized,