Virtual power plant day-ahead scheduling method based on distributed robust optimization

• Main Authors: DAI RAN, JI WENLU, DENG XING, YE TING, WANG CHUNNING, ZHOU KEFENG, WU HUI
• Format: Patent
• Language: Chinese; English
• Published: 26.11.2021
• Subjects: CALCULATING; 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 virtual power plant day-ahead scheduling method based on distributed robust optimization. The method comprises the following steps: constructing a renewable energy output fuzzy set based on a first-order origin moment and a second-order center moment; based on the constructed renewable energy output fuzzy set, constructing a target function and a constraint condition of virtual power plant day-ahead optimization scheduling, and combining the target function and the constraint condition to construct a virtual power plant day-ahead optimization scheduling model; and according to the constructed virtual power plant respective robust day-ahead scheduling model, using an affine strategy to convert the model, so that efficient solving of the model is realized. According to the invention, the day-ahead bidding strategy and the optimal scheduling strategy of the virtual power plant can be solved on the premise of considering the uncertainty of the new energy output, the robustness and the ec