Active and reactive coordination optimization control method of distributed photovoltaic power distribution network

Abstract

The invention provides an active and reactive coordination optimization control method of a distributed photovoltaic power distribution network. The method comprises steps that S1, based on the model predictive control method, according to the control targets and the control variables of different time scales, the distribution network system control process is divided into the long time scale optimization control and the short time scale optimization control, and a long time scale optimization control model and a short time scale optimization control model are established; S2, solving problems of the long time scale optimization control and the short time scale optimization control are converted into second-order cone programming problems; and S3, the long time scale optimization control model is based on the photovoltaic output and the load demand forecasting information, and uses the multi-step rolling optimization to solve the active and reactive power output of each controllable device, and the short time scale optimization control model is used to calculate the active and reactive power increment of each controllable device in a rolling manner with the solving result of the long time scale optimization control model as the reference value.

Description

technical field [0001] The invention relates to the field of power system control, and more particularly, to a method for coordinating and optimizing active and reactive power in a distributed photovoltaic power distribution network. Background technique [0002] In recent years, with the continuous development of distributed generation technology, the penetration rate of distributed photovoltaics in the distribution network has continued to increase, posing new challenges to the safe and stable operation of the distribution network. The distributed photovoltaic output and load demand are random and fluctuating, and the prediction error increases with the advance of the prediction time, which increases the difficulty of system optimization control. [0003] Model Predictive Control (MPC) is an effective way to solve this problem, it can overcome the uncertainty of the system, and its application in power system optimization control has been widely paid attention to. Model p...

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Problems solved by technology

[0005] The present invention provides an active and reactive power coordination optimization control method that overcomes the above-mentioned problems or at least partially solves the above-mentioned problems, and solves the problem that the existing control methods cannot be applied to large R/X ratios, active and reactive power In the power dis

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