Consistency control of grid-connected substation voltage regulation based on photovoltaic inverter power coordination

Abstract Owing to the different access locations and capacities of distributed photovoltaics, there is inconsistency in the voltage regulation between the grid-connected areas, posing the difficulties for the power grid operation and control. To address this, a consistency control method for the vol...

Full description

Saved in:
Bibliographic Details
Main Authors: Jun Liu, Fan Yang, Bingbing Lu, Lijia Ren
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-09886-z
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Owing to the different access locations and capacities of distributed photovoltaics, there is inconsistency in the voltage regulation between the grid-connected areas, posing the difficulties for the power grid operation and control. To address this, a consistency control method for the voltage regulation in the grid-connected substations is proposed, based on the photovoltaic-inverter power coordination. By analyzing the impact of exceeding voltage limits after the photovoltaic grid connection, this method ensures effective voltage regulation in the grid-connected substation area. The approach coordinates the photovoltaic-inverter power and uses the linear calculations to determine the active and reactive power adjustments. A consistency algorithm constructs a voltage-regulation control model, achieving the uniform voltage regulation in the grid-connected substations. The experimental results show that this method can effectively reduce the voltage fluctuations caused by the distributed photovoltaic access, control the maximum instantaneous overvoltage of transformers within the set threshold range, improve the accuracy of voltage regulation consistency control in the grid-connected substations, and ensure the stable operation of the power grid.
ISSN:2045-2322