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PROJECT TITLE :

Short-term operational planning framework for virtual power plants with high renewable penetrations

ABSTRACT:

This study proposes a two-stage operational coming up with framework for the short-term operation of the virtual power plant (VPP). In the first stage, a stochastic bidding model is proposed for the VPP to optimise the bids within the energy market, with the target to maximise its expected economic profit. The imbalance costs of the VPP are thought of in the bidding model. In the second stage, a model predictive management (MPC)-based mostly dispatch model is proposed to optimise the $64000-time management actions. In the important-time dispatch model, the important-time data of the resources is continuously updated, and also the deviations between the actual energy output and therefore the contracted energy over the MPC control horizon are minimised. The simulation results prove the efficiencies of the proposed technique.


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