Control of Smart Inverters with Automated Decisions in Microgrid

In this article, a smart inverter model that executes ancillary services with automated decisions is presented, such as power sharing and voltage and frequency stabilization, compensation of unbalance voltage, mitigation of harmonic content, and the balance of generation and demand. The droop contro...

Full description

Saved in:
Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2023-10, Vol.34 (5), p.1028-1042
Main Authors: Silva Júnior, Dalmo C., de Santiago, Juan, de Almeida, Pedro M., Oliveira, Janaína G.
Format: Article
Language:English
Subjects:
Ancillary services
Compensation
Control
Control and Systems Theory
Decisions
Distributed generation
Droop control
Electric potential
Electrical Engineering
Engineering
Engineering Science with specialization in Science of Electricity
Frequency stabilization
Inverters
Mechatronics
Robotics
Robotics and Automation
Smart inverter · AC microgrids
Teknisk fysik med inriktning mot elektricitetslära
Unbalance
Voltage
Voltage source converter
Voltage unbalance compensation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, a smart inverter model that executes ancillary services with automated decisions is presented, such as power sharing and voltage and frequency stabilization, compensation of unbalance voltage, mitigation of harmonic content, and the balance of generation and demand. The droop control was utilized for power-sharing between the distributed generations; the mitigation of negative-sequence voltage is used for unbalanced voltage compensation, and finally, a feed-forward current is adopted for harmonic compensation. Therefore, the smart inverter was controlled through a supervisory system, identifying which ancillary function to activate at certain times. Results show the successful operation of the system and can be used as validation of the proposed control strategies, including the automated decisions in the microgrid.
ISSN:2195-3880
2195-3899
2195-3899
DOI:10.1007/s40313-023-01028-y