Virtual power plant day-ahead optimal scheduling system and method considering wind power uncertainty,

Abstract

The invention discloses a virtual power plant day-ahead optimal scheduling system and method considering wind power uncertainty. The method comprises the steps: obtaining the next-day wind power fulloutput prediction of a virtual power plant and the next-day thermal load demand prediction of a borne region, formulating a next-day power generation plan, and reporting the next-day power generationplan to a power grid to obtain a next-day output task of the virtual power plant; establishing a virtual power plant energy supply balance model; determining a virtual power plant spinning reserve capacity of the heat reserve; performing wind power uncertainty processing on the virtual power plant power supply balance constraint to reduce the influence of wind power uncertainty on a day-ahead scheduling plan; establishing an objective function with the maximum daily income of the virtual power plant as an objective, setting constraints and enabling the spinning reserve capacity of the virtualpower plant to meet the wind power fluctuation requirement and all components of the virtual power plant to operate in a safe range; and solving the model by using a particle swarm algorithm to obtaina next-day operation scheduling plan and earnings of the virtual power plant. The external thermoelectric coupling relation of the virtual power plant is reduced, the adjustable range of the power output of the virtual power plant is expanded, and the reserve capacity of the power grid is released.

Description

technical field [0001] The invention relates to an energy optimization technology, in particular to a method for a day-ahead optimization dispatching system of a virtual power plant considering the uncertainty of wind power. Background technique [0002] China is currently the fastest growing wind power market in the world, accounting for 37% of the world's installed wind power capacity in 2018. The large-scale development of wind energy will help solve the current problems of energy depletion and environmental pollution. Affected by random changes in wind resources, wind power has uncertainty. For power systems, wind power is always an uncontrollable power source, and its grid-connected operation has become the most important factor restricting its development. The uncertainty brought about by wind power access poses challenges to the security and adequacy of the power system. With the increasing correlation between climate and environmental factors and system security a...

AI Technical Summary

Problems solved by technology

However, the solution to the uncertainty problem of wind power in virtual power plants has not yet been discovered, and it is worth further exploration

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