IoT-Enabled Real-Time Management of Smart Grids With Demand Response Aggregators

Integration of widely distributed small-scale renewable energy sources like rooftop photovoltaic panels and emerging loads like plug-in electric vehicles would cause more volatility in total net demand of distribution networks. Utility-owned storage units and control devices like tap changers and ca...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industry applications 2022-01, Vol.58 (1), p.102-112
Main Authors: Estebsari, Abouzar, Mazzarino, Pietro Rando, Bottaccioli, Lorenzo, Patti, Edoardo
Format: Article
Language:English
Subjects:
Aggregator
Algorithms
Ancillary services
Control equipment
Costs
Demand response
Electric potential
Electric power demand
Electric vehicles
Electrical plugs
Internet of Things
Internet of things (IoT)
Operators
Power flow
Real time
real-time simulation
Real-time systems
Renewable energy sources
Residential buildings
Smart grid
Smart grids
Storage units
Substations
Tap changers
Time management
Voltage
Voltage control
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:Integration of widely distributed small-scale renewable energy sources like rooftop photovoltaic panels and emerging loads like plug-in electric vehicles would cause more volatility in total net demand of distribution networks. Utility-owned storage units and control devices like tap changers and capacitors may not be sufficient to manage the system in real-time. Exploitation of available flexibility in demand side through aggregators is a new measure that distribution system operators are interested in. In this article, we present a developed real-time management schema based on Internet of things solutions which facilitate interactions between system operators and aggregators for ancillary services like power balance at primary substation or voltage regulation at secondary substations. Two algorithms for power balance and voltage regulation are developed based on modified optimal power flow and voltage sensitivity matrix, respectively. To demonstrate the applicability of the schema, we set-up a real-time simulation-based test bed and realized the performance of this approach in a real-like environment using real data of a network with residential buildings.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2021.3121651