Robust unit combination method considering spatiotemporal correlation of uncertainty prediction error

Abstract

The invention discloses a two-stage robust unit combination method considering spatiotemporal correlation of uncertainty prediction error. The method comprises the following steps that firstly, basedon complete historical data, a polyhedron uncertainty set capable of describing the spatiotemporal correlation linearity of the uncertain amount (wind power and load) is established, and an analysis relation between the confidence probability and the uncertainty set is given; then based on the polyhedron set, a two-stage robust safety constraint unit combination model with the lowest operating cost in a prediction scene as a target is established, and a generalized Benders decomposition method is adopted for solving. Finally, a large amount of historical wind power and load data are counted toconstruct an uncertainty set taking the spatiotemporal correlation into consideration, and testing is carried out on the basis of an improved IEEE-30 and IEEE-118 node system. The result shows that the polyhedron set considering the spatiotemporal correlation can effectively reduce the conservativeness of robust optimization, and meanwhile, the combination safety and economical efficiency of therobust safety constraint unit are ensured.

Description

technical field [0001] The invention relates to the technical field of power system scheduling automation, in particular to a robust unit combination method that takes into account the time-space correlation of uncertain quantity prediction errors. Background technique [0002] While the large-scale grid-connection of wind power and other renewable energy promotes the "green" development of the power system, its output uncertainty brings severe challenges to the dispatching operation of the power system. In order to cope with this challenge, the power system urgently needs a new optimal scheduling strategy formulation method. Random scheduling and robust scheduling have unique advantages in dealing with uncertainty. The former generally describes the uncertainty of wind farm output by simulating scenarios, while the latter uses uncertainty sets to describe this uncertainty. Robust optimization uses a closed convex set to describe the uncertainty of parameters, and calculat...

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The ellipsoid set can consider the time correlation, and the ellipsoid set greatly reduces the conservatism, and the coefficient matrix of the ellipsoid set is the covariance matri

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