Active power distribution network asymmetric operation optimization method based on intelligent soft open point

Abstract

An active power distribution network asymmetric operation optimization method based on an intelligent soft open point includes the following steps: inputting a structure and parameters of a power distribution system; establishing an active power distribution network asymmetric operation optimization model based on an intelligent soft open point on the basis of the structure and parameters of the power distribution system and also on the basis of consideration of system loss, system voltage imbalance and current imbalance at an outlet side of a power distribution transformer; conducting linearization and convex relaxation on non-linear constrained conditions in the active power distribution network asymmetric operation optimization model based on the intelligent soft open point according to a semidefinite programming standard form, and converting the model into a semidefinite programming model; solving the obtained semidefinite programming model through a mathematic resolver solving semidefinite programming; and outputting a solving result, and verifying accuracy of semidefinite relaxtion. Active power distribution network asymmetric operation optimization problems based on the intelligent soft open point can be described in a unified manner. Model solving difficulties are reduced, the calculating speed is greatly improved, and an optimal system operation scheme can be obtained quickly.

Description

technical field [0001] The invention relates to a distribution network operation optimization method. In particular, it relates to an intelligent soft-switching-based asymmetrical operation optimization method for active distribution networks. Background technique [0002] At this stage, renewable energy is widely and densely connected to the distribution network in the form of distributed generation (DG). After a large number of distributed power sources are connected to the power distribution system, it will significantly change the structure and operation mode of the power system at the medium and low voltage level, making the power distribution system develop from a traditional radial network to an active distribution network, and its function will also change from a single electric energy The role of distribution has changed to a new type of power exchange system that integrates power collection, transmission, storage and distribution. In the active distribution netwo...

AI Technical Summary

Problems solved by technology

Although the traditional mathematical optimization method can theoretically perform global optimization, it will have the problem of low computational efficiency when dealing with large-scale non-convex nonlinear programming problems in practice; the heuristic algorithm requires a polynomial time bound in terms of time complexity, and the calculation The speed is faster, but only a local optimal solution can be obtained, and the global optimality of the solution cannot be guaranteed

Therefore, traditional mathematical optimization methods and heuristic algorithms cannot meet the requirements of speed or accuracy at the same time for solving such problems.

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