Published at : 29 Nov 2019
Volume : IJtech
Vol 10, No 7 (2019)
DOI : https://doi.org/10.14716/ijtech.v10i7.3250
shashikumar krishnan | Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Malaysia |
Venkataseshaiah Chinthakunta | Faculty of Engineering and Technology, Multimedia University, 75450 Melaka, Malaysia |
Sim Kok Swee | Faculty of Engineering and Technology, Multimedia University, 75450 Melaka, Malaysia |
In this paper, we have
designed
and installed a shock or fault protection system for a single-phase home
electrical system using Circuit Breaker (CB) devices available on the market,
bearing in mind that certain product areas do not
provide shock protection to consumers. Our novel Smart Meter Circuit Breaker
(SMCB) is designed to achieve a fail-proof shock protection system architecture
that could be incorporated into existing Smart Meters (SM) within a Device
Level Load Meter (DLLM).
We also illustrate how a colonized
and alienated appliance Authentication Outlet (AO) system could be used
advantageously for a shock or fault protection system and for our novel
Restricted Demand Management system with the help of a distinctive load
signature alienated appliance AO. Our Restricted Demand Management system could
be used together with the Scheduler Demand Management system already on the
market.
Finally, this
paper shows how our SMCB for an alienated appliance AO detection system for a
single-phase home system was simulated, built and tested. The proposed home
layout and the Restricted Demand Management System are
simple to program and implement and help to reduce energy bills as only
particular appliances are allowed to operate at certain times during the day
and night. The system also restricts some hazard risk appliances from being
used at other outlets. Our proposed system is completely hazard, fault and
shockproof for a single phase home electrical system.
Authentication outlet; Circuit breaker; Demand management; Protection; Smart meters
The power protection systems
in single-phase system homes are not fully hazard proof, and none of the
products on the market can ensure full protection from utility hazards. This is
apparent from the fact that there are still incidents of fatal injuries and
death due to electrical shock or of homes being destroyed by fire due to
electrical hazards.
To understand the effect of electric
shock, we need to understand the Red Blood Cell (RBC) membrane of
human tissue first, as explained in an experimental study by Fricke
and Mose in
Figure1 Newly classified electrical
hazard diagram
This fault is
normally protected with a thermal Molded Case Circuit Breaker (MCCB) or thermal
fuse devices. Fault EE indicates a fault due to lightning, during which the
user could receive an electrical shock if he or she is in contact with the
earth wire. This rarely happens, but if it does, the electrical source of the
lightning will stop conducting for a few milliseconds, freeing the person from
electrical shock. This may be the case if, for example, the person was holding
an electric kettle when lightning strikes. This fault can also be protected
against with a voltage sensor Earth Leakage Circuit Breaker (ELCB). However, if
the earth wire is not properly connected then the ELCB will not initiate. Fault
LE happens if the user accidentally touches the live wire or the appliance’s
live wire accidentally touches the appliance body or a metal object, resulting
in the user receiving an electric shock.
Currently,
the new Residual Current Circuit Breaker (RCCB) 30 mA is able to detect this
type of fault where the residual current difference between a detected Live and
Neutral wire of 30 mA would kick off the RCCB, protecting the user
from an electric shock. According to the principles of the RCCB, if a user
receives an electric shock when the appliance is working at 500 mA, the live
wire will pull the total current of 530 mA, as illustrated in Figure 1, and
leakage of 30 mA would pass through the human body to the ground. The Neutral
wire would only return an appliance current of 500 mA, creating a difference
in the residual current of 30 mA and resulting in the RCCB moving to off
position.
Fault
LN happens when the user touches both the Live and Neutral wires at the same
time. This
could happen when infants, children or adults,
accidentally touch the socket supply conductivity
pins when the power socket was accidentally fitted half way though. This type of fault LN is
the most fatal, as the current passes through the heart and stops the
heartbeat. No protection device is currently available for this fault. Even
RCCB cannot detect this type of fault as both the Live and Neutral lines have
the same 30 mA additional current flow. However, our novel Smart Meter Circuit Breaker (SMCB) manages this type of fault.
Currently, available home electrical system architecture does not
guarantee shock protection or emphasizes the principles of electrical safety
fully. Even-though there is already available some safety
equipment in the market it is not used fully utilized by consumers to protect
themself from electrical hazards due to reasons of inadequate knowledge or
reluctance to spend more money. One type of protection is the use of
a 30 mA RCCB in a DLLP architecture system, as we propose in this paper. At the
moment, water heaters are the only devices that use this mode of architecture.
The 30 mA RCCB at DL can prevent Fault LE shock, but for Fault LN shock there
are no CB protection devices available.
To
protect against Fault LN shock, we suggest two methods. The first is to use our
SMCB where an SM can detect any 30 mA fault, though the disadvantage is that
any appliance working below 30 mA cannot be used in the device-level appliance
outlet. The second method is to use the existing SONY-RFID-AO demand management system, which
can easily be modified and programmed to become a protection system against
Fault LN shock, as we have suggested in this paper. We also suggest using our
own SMID-AO system, which can detect the appliance ID without the use of RFID
and allows any type of appliance, whether colonized or alienated. However, this
system is more expensive than our SMCBs. Finally, we have also suggested using
a novel Restrictive Demand Management System, which is simpler and could be
incorporated into a commonly used Scheduled Demand Management System to
reduce utility bills in homes. The disadvantage of this system is that
each home with a different layout will require a new priority list table
designed for it.
Alrawi, A.H.,
Moghavvimi, M., Ibrahim, W., 2010. Novel Idea to Monitor and Measure Blood
Hemoglobin Noninvasively. African Journal of Biotechnology, Volume 9(54),
pp. 9295–9306
Boonsong, W.,
Ismail, W., 2014. Wireless Monitoring of Household
Electrical Power Meter using Embedded RFID with Wireless Sensor Network
Platform. International Journal of Distributed Sensor Network, Volume
10(6), pp. 1–10
Hoosain, M.S.,
Paul, B.S., 2017. Smart home: A Domestic Demand Response and
Demand Side Energy Management System for Future Smart Grids. International
Conference on the Domestic Use of Energy (IEEE), pp. 1–5
Jian Liang, Sion K.K. Ng, Gail Kendail, John W.M. Cheng, 2010. Load
Signature Study Part I: Basic Concept, Structure, and Methodology. Transactions
on Power Delivery on IEEE, Volume 25(2), pp. 551–560
Shashikumar,
K., Venkataseshaiah, C., Sim, K.S., 2016. Juggling an Arduino for
Multi-meter, Load Profiling and Novel Waveform Capture Logger Application. In:
The 12th International Colloquium on Signal Processing & its
Applications (CSPA) IEEE, pp. 119–123
Shashikumar,
K., Venkataseshaiah, C., Sim, K.S., 2017. Automatic
Sequential Reactive Power Compensation and Harmonic Suppression at Loads using
Appliance Clustering and Power Quality Monitoring. In: International
Conference on Robotics, Automation and Sciences (ICORAS) IEEE, pp. 1–6
Sony
Press Release, 2012. Sony Develops “Authentication
Outlet” Where Electricity Use can be Managed and Consumed on a Per-User and
Per-Device Basis. Available
Online at
https://www.sony.net/SonyInfo/News/Press/201202/12-023E/, Accessed on 14 February 2012
Susanto, E., Idrus, M.,
Nasruddin, N., Budihardjo, B., 2018. An
Experimental Investigation into the Effect of Thermostat Setting on the Energy
Consumption of Household Refrigerators. International Journal of Technology,
Volume 9(2), pp. 364–371
Teshome, D.F.,
Huang T.D., Lian, K.L., 2016. Distinctive Load Feature
Extraction based on Fryze’s Time-domain Power Theory. Power and Energy
Technology Systems Journal on IEEE, Volume 3(2), pp. 60–70
Wang, K.,
Li, H., Maharjan, S., Zhang, Y., Guo, S., 2018. Energy
Scheduling for Demand Side Management in the Grid. Transaction on Green
Communications and Networking on
IEEE, Volume 2(2),
pp. 596–611
Woodhead, R.,
2018. Building a Smarter City. International Journal of Technology,
Volume 9(7), pp. 1509–1517