Power injection model of power flow controller under direct current power flow model and addressing method thereof

Abstract

The invention relates to a power injection model of a power flow controller under a direct current power flow model. In a direct current power flow, an effect of the power flow controller on a system is equivalent to voltages of nodes i and j and power injection equivalence is performed so as to acquire the power injection model under the direct current power flow; shift-to power of the nodes i and j is defined in the description, and xij is an impedance between the nodes i and j. The model and the method have advantages that the method provided in the invention is used to carry out power flow controller addressing so that an addressing speed can be increased and simultaneously accuracy can be achieved; and the model and the method are especially suitable for a UPFC addressing problem of a large power grid.

Description

technical field [0001] The invention belongs to the technical field of power system operation analysis and calculation application, and in particular relates to a power injection model and a site selection method under the UPFC DC power flow model. Background technique [0002] Unified Power Flow Controller (UPFC), as the most powerful Flexible AC Transmission System (FACTS) device, can simultaneously adjust the voltage, phase angle and impedance of the transmission line in real time to achieve the function of optimizing the system. Theoretical studies have shown that UPFC has powerful power flow regulation and dynamic control capabilities, and the choice of UPFC installation location is related to the performance of UPFC control, so it is particularly important. [0003] The siting problem of UPFC is a nonlinear complex problem, which is relatively complicated to solve. Existing literatures generally use sensitivity-based or intelligent algorithms to solve it. Sensitivity-...

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Problems solved by technology

[0003] The location problem of UPFC is a nonlinear complex problem, and it is more complicated to solve. Existing literatures generally use sensitivity-based or intelligent algorithms to solve it.

In the existing research, in the case of using PSO and GA algorithms at the same time and taking the line network loss as the objective function, it is found that the PSO algorithm is faster and more robust than the GA algorithm through comparison; the discrete particle swarm optimization algorithm DPSO can be used to solve the problem. The problem of discrete objective function when equipped with multiple UPFCs; it is proposed to improve voltage stability and reduce the occurrence of faults; the disadvantage is that the intelligent algorithm is not intuitive enough, the convergence speed is slow, and it is easy to fall into local convergence

There are also some studies that use other algorithms for site selection, such as the Lagrange multiplier method, which takes UPFC cost and line network loss as the objective function, and considers static security constraints, which improves the load rate of the system. However, the disadvantage lies in the weight coefficient. Select lack of relevant basis

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