Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load

As the proportion of electric vehicles and distributed power sources connected to grid continues increase, virtual plants provide new ideas for effectively solving grid. Considering that there are obvious uncertainties in number dispatchable output sources, this paper focuses on multi-objective interval optimization problem considering uncertainty source load. Based analysis plant architecture, aiming at load, a model was established using theory; order verify validity model, certain area selected as an example analysis. The results show can be better avoided process, proposed scheme has strong robustness.