Power distribution network optimization scheduling method considering random output of high-density distributed power supply

Abstract

The invention discloses a power distribution network optimization scheduling method considering random output of a high-density distributed power supply. The method comprises the steps ofcarrying outthe modeling of the random time sequence characteristics of the injection power of a wind and light distributed power supply at a power grid node, and carrying out the sampling of a random power flowspace based on a sparse grid point distribution theory,aiming at reducing active loss and node voltage deviation of the power distribution network, establishing a power distribution network active andreactive joint random optimization model containing power flow balance and opportunity constraints,and finally, conducting orthogonal polynomial approximation on a random space in the active and reactive power scheduling problem based on a spectral decomposition method. A convex approximate deterministic optimization model equivalent to a random optimization model is established, and a sample setcomposed of sparse nodes is utilized to approximate a random space optimal solution, so that the approximation precision of the solution is ensured, and the dimensionality disaster of the active andreactive joint optimization scheduling model of the power distribution network in a high-dimensional random parameter space is avoided. The method can be widely applied to power distribution network optimization scheduling under the influence of high-dimensional random factors, and improves the power distribution network power quality.

Description

technical field [0001] The invention belongs to the technical field of electric power system optimization, and in particular relates to a combined active and reactive power optimization scheduling method of a distribution network considering high-dimensional randomness and chance constraints. Background technique [0002] Due to the great uncertainty of distributed power sources such as wind energy and solar energy, the operation and control of power systems with a high proportion of new energy sources face new challenges. Studying the stochastic optimal dispatching technology of the power system can ensure the minimum active power loss of the power grid while increasing the node voltage deviation of the distribution network in a stochastic environment. In order to overcome the complexity of a large number of distributed power sources and high-dimensional random parameter processing technology, an effective uncertainty quantification method is used to analyze the influence o...

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Problems solved by technology

[0002] Due to the great uncertainty of distributed power sources such as wind energy and solar energy, the operation and control of power systems with a high proportion of new energy are facing new challenges

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