Distributed active and reactive optimal control method for wind power plant

Abstract

The invention discloses a distributed active and reactive optimal control method (DARPC) for a wind power plant, which comprises the following steps of establishing a wind power plant (WF) optimization problem model, constructing the wind power plant into an optimal power flow (OPF) model based on a DistFlow linear power flow equation, and expressing a WF optimization problem as a quadratic programming (QP) problem. In addition, the invention further provides a solution scheme of a WF optimization problem based on the ADMM, the centralized optimization problem of the WF is decomposed into several sub-problems, the sub-problems solve the local optimization problem in a single local controller by exchanging information with actual adjacent controllers of the sub-problems, the optimization problem is converted into an augmented Lagrangian form, and an optimal solution is solved by continuously iterating each variable. The DARPC scheme disclosed by the invention optimizes the active power and reactive power reference of the wind driven generator while satisfying the scheduling command sent by the TSO, reduces the WF loss, reduces the voltage fluctuation of each bus, and maximizes the reactive capacity of the wind driven generator. The distributed solution based on the ADMM eliminates the demand for a central unit, and improves the expandability of the WF while improving the operation speed.

Description

technical field [0001] The invention relates to the field of optimal control of wind farms, in particular to a distributed active and reactive optimal control method for wind farms. Background technique [0002] Due to the depletion of fossil energy and increasingly serious environmental pollution problems, the development and utilization of renewable energy have developed rapidly. Wind energy has attracted more and more attention from governments due to its huge reserves and low power generation costs. widely promoted worldwide. Wind energy has become one of the most widely used green renewable energy sources, and the position of wind power in the power system is becoming more and more important. [0003] Wind power is usually intensively developed and connected to the power system in the form of wind farms. In this paper, the wind farm is represented by WF. Wind power itself has strong randomness and intermittent nature, which makes it bring many technical and economic ...

AI Technical Summary

Problems solved by technology

[0004] At present, the method commonly used in active power control of wind farms is the proportional distribution method, which is simple and easy to implement, but cannot obtain the optimal power reference value

In terms of reactive power control, there are mainly reactive power allocation methods based on optimal power flow and optimal reactive power control methods based on voltage sensitivity, etc., but it is impossible to obtain the best solution from the perspective of WF. Most of these methods use layered The distributed computing framework needs to collect the information of all wind turbines in WF, and needs a central unit to coordinate local and global variables. It cannot guarantee that WF can run optimally in a fully distributed manner while meeting the reference requirements of the tracking and dispatching center. instruction

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