Economic Dispatch of Power Systems with Virtual Power Plant Based Interval Optimization Method

Abstract— Load prediction and power prediction uncertainties are inevitable aspects of a virtual power plant (VPP). In power system economic dispatch (ED) modeling, the interval is used to describe prediction uncertainties. An ED model with interval uncertainty is established in this paper. The probability degree definition is adopted to convert the interval-based economic dispatch model into a deterministic model for the purposes of solving the modeling problem. Simulation tests are performed on a 10-machine system using professional optimization software (LINGO). The simulation results verify the validity of the proposed interval-based scheme for the economic dispatch of a power system with VPP. establishes an interval-based ED model for a power system with CPPs and VPPs. It utilizes the interval to describe the uncertainty of load prediction and VPP power prediction. The probability degree in the interval optimization method is then employed to transform the interval-based ED model into a deterministic one. The optimal dispatch scheme of the power system with CPPs and VPPs is obtained by solving the deterministic ED model. Finally, the proposed interval-based ED scheme is applied to a 10-machine power system for simulation. In the aforementioned methods, the probability distribution functions (PDFs) of the stochastic variables must be known in advance. < final year projects >