Model prediction control-based power distribution network autonomous region grid connected power control method

Abstract

A model prediction control-based power distribution network autonomous region grid connected power control method disclosed by the present invention comprises the four parts of a predication model, the rolling optimization, an execution mechanism and the feedback correction, and is characterized in that an online real-time prediction model adopts the combination of the ultra short term predication-based data and an auto-regressive prediction model, an optimization function considers the minimization of the grid connected power deviation and the deviation of a scheduling control instruction, and the influence of the random uncertainty of a power distribution network system power supply and a load on the grid connected power control is eliminated by the time domain rolling optimization and the feedback correction of the real-time output of an uncontrollable unit, thereby realizing the tracking control of the power distribution network autonomous region grid connected power, at the same time, avoiding the frequent and substantial power correction of a controllable unit.

Description

technical field [0001] The invention relates to the field of distribution network control, in particular to a method for controlling grid-connected power in an autonomous area of ​​a distribution network based on model predictive control. Background technique [0002] The large-scale access of distributed power to the distribution network brings a series of problems to the traditional distribution network, and the operation control of the distribution network system becomes relatively complicated. Aiming at the problem of distribution network operation control, a hierarchical distributed distribution network control architecture has emerged in recent years. Through the distribution of control commands from the upper layer energy management system to the lower layer area, the coordinated control of the distribution network at multiple time scales is realized. The random uncertainty of DG output makes it difficult to control the grid-connected power in the autonomous region, a...

AI Technical Summary

Problems solved by technology

[0003] After searching the literature of the existing technology, it is found that the Chinese invention patent (application number: 201310048291.7) proposes a multi-time-scale active distribution network DG coordinated control system. By establishing a sub-control area autonomous control optimal objective function, through the droop However, this method fails to consider the energy storage and the future operation trend of DG, which may easily lead to the exhaustion of energy storage and the loss of active adjustment ability

[0004] In view of the above deficiencies, the present invention proposes a model predictive control based grid-connected power control method in the autonomous area of ​​the distribution network, which realizes the tracking control of the grid-connected power in the autonomous area of ​​the distribution network, and at the same time avoids the frequent and large power of the controllable unit fix

Images