  In this paper, a flexibility-oriented microgrid optimal scheduling model is
proposed to mitigate distribution network net load variability caused by large
penetration distributed solar generation. The distributed solar generation
variability, which is caused by increasing adoption of this technology by
end-use consumers, is mainly addressed by electric utilities using grid
reinforcement. Microgrids, however, provide viable and local solutions to this
pressing challenge. The proposed model, which is developed using mixed-integer
programming and employs robust optimization, not only can efficiently capture
distribution network net load variations, mainly in terms of ramping, but also
accounts for possible uncertainties in forecasting. Numerical simulations on a
test distribution feeder with one microgrid and several consumers/prosumers
indicate the effectiveness of the proposed model.
