Power system scheduling method and device considering wind power probability distribution uncertainty

Abstract

The invention discloses a power system scheduling method and device considering wind power probability distribution uncertainty. The method comprises the following steps of: constructing a wind power probability distribution uncertainty set; based on the wind power probability distribution uncertainty set, defining operation risk cost; based on the operation scheduling cost and the operation risk cost of an power system, taking the pursuit of the lowest total operation cost of the power system as a target, constructing a robust economic scheduling model considering the wind power probability distribution uncertainty; determining an optimization constraint condition of the robust economic scheduling model; solving the robust economic scheduling model considering the wind power probability distribution uncertainty to obtain an optimal decision variable; and realizing the scheduling of the power system based on the optimal decision variable. Automatic optimization of the system operation risk level and the wind power admissible range under the condition of uncertain wind power probability distribution is realized. For a formed complex nonlinear optimization model, the original model is converted into a linear programming problem of iterative solution on the basis of the characteristics of the wind power probability distribution uncertainty set and the characteristics of actual operation of the system.

Description

technical field [0001] The invention relates to the technical field of power system operation dispatching, in particular to a power system dispatching method and device taking into account the uncertainty of wind power probability distribution. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] At present, the world is under heavy pressure brought about by the depletion of fossil energy and the deterioration of the ecological environment. As an indispensable form of energy utilization in today's society, electric energy has undergone fundamental changes in its production and use pattern, which is highlighted by clean and renewable energy. The scale of grid-connected energy generation continues to expand. The large-scale development and utilization of renewable energy such as wind and light is regarded as an inevitable trend to achieve...

AI Technical Summary

Problems solved by technology

However, the fuzzy set based on moment information only uses the moment information in the uncertain historical data, which often leads to certain conservatism, while the fuzzy set based on distribution distance usually makes the conversion and solution of the optimization model complicated, and its solution efficiency needs to be improved

At the same time, the application of distributed robust optimization methods in power systems is often combined with chance constraints, and its risk probability level needs to be set in advance, which cannot automatically optimize the system operation risk level

On the other hand, there is currently no relevant application to directly optimize the acceptable range of wind power, resulting in the lack of specific wind power scheduling decision-making information in the decision-making results

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