Cited by 4Electric Vehicles and InfrastructureSmart Grid Energy ManagementOptimal Power Flow Distribution

High Frequency Ripple Injection Signals for the Effective Utilization of Residential EV Storage in Future Power Grids with Rooftop PV System

Rahman, Obaidur, Muttaqi, Kashem M., Sutanto, Danny·2020·2020 IEEE Industry Applications Society Annual Meeting

Abstract

The electrification of the transport industry is expected to have a major impact on the operation of future distribution grids which includes overloading of components, voltage unbalance and power quality issues. This paper proposes the use of Ripple Injection Load Control Signals for the control of EV charging load, considering a large integration of PV systems in the grid. Currently Ripple Injection signals are widely used by distribution network service providers (DNSPs) around the world for control of loads such as streetlights and hot water systems. Ripple Injection Signals or Audio Frequency Injection Control (AFIC) signals are the applications of a high frequency signal superimposed on to the 50/60 Hz supply. The proposed control will make use of the existing infrastructure and offers a viable solution where a smart grid solution is not available. AFIC signals can be encoded in binary to carry different information which can be used to set the maximum allowable charging rate of future charging stations or activate the Vehicle-to-Grid (V2G) mode when necessary. This provides a method to control the EV load depending on the stochastic nature of a future grid. A multimode energy management algorithm has been proposed depending on the load consumption of a particular substation. A power flow simulation study have been used to demonstrate the efficacy of the proposed method.

Integrity signals

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Crossref · 10.1109/ias44978.2020.9334714

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Authors
Rahman, O., Muttaqi, K. M., & Sutanto, D.
Affiliations
University of Wollongong (AU)
Venue
2020 IEEE Industry Applications Society Annual Meeting
Publisher
IEEE
Published
2020-10-10
Pages
1-5
ISSN
0197-2618 (ISSN-L)
OpenAlex
W3127936547
Cited by
4
References
1
Citations by year
2026: 1 · 2024: 1 · 2023: 1 · 2022: 1
FWCI
0.70
Type
conference paper
Language
en
Open access
closed
Locations
IEEE Industry Applications Society Annual Meeting (IAS) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
Keywords
rooftop photovoltaic systems, vehicle-to-grid, energy management algorithm, voltage unbalance, power quality

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