International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org

Volume 4, Issue 1, January 2015

ISSN 2319 - 4847

Implementation of TOU for Smart Power

Consumption
ARUN KUMAR RATH 1, SANTOSH KUMAR MALLICK2 , AMRIT KUMAR PANIGRAHI3
1

Asst.Professor in EEE Dept. GIET Gunupur, Orissa

2

Lecturer in EEE Dept. GIET, Gunupur, Orissa

Asst.Professor in EEE Dept. GIET Gunupur, Orissa

ABSTRACT
This paper presents the economic analysis and perfect utilization of electrical energy in domestics and industrial consumers
and to send message to a single consumer for perfect time of utilisation so that each and every consumer will get electrical
energy . In this method the efficiency of distribution system can be increased. Smart grid encourages consumers to prefer
suitable energy in co operation with power grid at the most suitable time.
The main aim of this, is the load sharing and
minimize the stress on the distribution lines like Transformer , neighbor consumer etc. by motivating consumers to operate
only the most essential appliances at peak load periods and to transfer the operation of less needed appliances at off peak hours
when tariff may be lower. A case study has been developed to provide information to enable the user Mr. Krishna Murty who is
a LT consumer, The results and analysis which have been presented in this has been generated by a real time data collected for
mogulthur, Andhra pradesh .

Keywords:- Smart consumer, peak load, consumptions and appliances

1.INTRODUCTION
The smart energy information management system was developed with the ability to record, store and process power
consumption data of every major appliance in the domestic and industrial sector. The power consumption data is
accessible through the smart way like consumer energy portal, emails and handheld devices. Consumers can track their
power usage by device, room or appliance, which helps better regulate power consumption by analyzing minute wise,
half-hourly, hourly, daily and monthly and smart appliances, and automatically respond to increased demand in smart
grid. The case studies is developed for LT consumers, build complete power analysis, develop different types of reports
and save the power consumption amount by using power during off peak or mid peak. The TOU (Time of Use) Tariff is
used to reduce peak loads. The power analysis reports provide the deep insight into their consumption patterns like on
peak, off peak, mid peak and cost per appliances.
Appliances wise consumption for LT consumer
The following case study has been developed to provide information to enable the user to act. Mr. Krishna Murty is a
LT consumer and category is LT1-domestic . The below analysis provides deep insight for Mr.Krishna Murty to take
effective decisions
The consumers does not know about their
1) Daily energy consumption
2) Daily/hourly/half hourly/minute wise consumption
3) Which appliances are causing more energy consumption
4) How they can manage their consumption better
The below reports clearly demonstrates the net savings by the use of TOU tariffs and the designed reports like cost by
appliances.
Appliances wise consumption for LT consumer
For the LT consumers of Mogulturu circle we have consider Krishna Murty with service no.000017 . The data is
physically collected by appliances and analyzes the power consumption by appliance for Krishna Murty and provides
deep insight on overall consumption.
Table Appliances wise consumption for LT consumers in month of September 2012

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

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Volume 4, Issue 1, January 2015

ISSN 2319 - 4847

Total load of the particular consumer can depends on the below equation
LTotal required = LCW + LDI +LFC+LL+LR+LTC+LWH+LOther
(1)
Total unit consumed for the above load given by
UTotal = UCW+UDI+UFC+UL+UR+UTC+UWH+UOther
(2)
Total cost can be calculated by the equation
CT=CCW+CDI+CFC+CL+CR+CTC+CWH+COther
(3)
Where , LTotal required = Total load required for the consumer
LCW=Load required for clothe washer
LDI=Load required for Dryer & Iron
LFC=Load required for fan & cooler
LL=Load required for lights
LR=Load required for refrigerator
LTC=Load required for TV & Computer
LWH=Load required for water heater
LOther=Load required for other application
UTotal=Total unit consumed
UCW=Unit consumed for clothe washer
UDI= Unit consumed for Dryer & Iron
UFC= Unit consumed for fan & cooler
UL= Unit consumed for light
UR= Unit consumed for refrigerator
UTC= Unit consumed for TV & Computer
UWH= Unit consumed for water heater
LOther= Unit consumed for other application
CT=Total cost
CCW=Cost for clothe washer
CDI= Cost for Dryer & Iron
CFC= Cost for fan & cooler
CL= Cost for light
CR= Cost for refrigerator
CTC=Cost for TV & Computer
CWH=Cost for water heater
COther= Cost for other application

Figure Appliances wise consumption for LT consumers in month of September 2012

Table Appliances wise consumption for LT consumers in month of October 2012
Billed
units
Application ID
KWH
clothe washer
12
dryer+iron
14
fans+cooler
48
lights
32
others
20

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org
Volume 4, Issue 1, January 2015
pump
refrigeration
TV+ Computer
water heater

ISSN 2319 - 4847

17
15
52
10
220

Table Appliances wise consumption for LT consumers in month of October 2012

Table Appliances wise consumption for LT consumers in month of novmber2012
Billed
units
Application ID
KWH
clothe washer
7
dryer+iron
13
fans+cooler
43
lights
35
others
23
pump
9
refrigeration
19
TV+ Computer
47
water heater

12
208

Table Appliances wise consumption for LT consumers in month of November 2012

Cost Wise Consumption For LT consumer
For the LT consumer of Mogulturu circle we have considered Mr. KRISHNA MURTY with service no. sc1020/21 and
physically the data is collected appliances wise and analyzed the power consumption cost by appliances wise and
analyzed the power consumption cost by appliance for KRISHNA MURTY and provided deep insight on overall
consumption
Table cost wise consumption for LT consumer in the month of September 2012
Appliance ID
Cost
clothe washer
32.4
dryer+iron
39.6
fans+cooler
144
lights
115.2

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

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Volume 4, Issue 1, January 2015
others
pump
refrigeration
TV+ Computer
water heater

ISSN 2319 - 4847

64.8
43.2
54
158.4
32.4
684

Figure cost wise consumption for LT consumer in the month of September 2012
Table cost wise consumption for LT consumer in the month of October 2012
Appliance ID
Cost
clothe washer
69
dryer+iron
80.5
fans+cooler
276
lights
184
others
115
pump
97.75
refrigeration
86.25
TV+ Computer
299
water heater
57.5
1265

Figure cost wise consumption for LT consumer in the month of October 2012
Table cost wise consumption for LT consumer in the month of November 2012
Appliance ID
Cost
clothe washer
40.25
dryer+iron
74.75
fans+cooler
247.25
lights
201.25

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

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Volume 4, Issue 1, January 2015
others
pump
refrigeration
TV+ Computer
water heater
Overall resuLT

ISSN 2319 - 4847

132.25
51.75
109.25
270.25
61
1188

Figure cost wise consumption for LT consumer in the month of November 2012
Appliance wise consumption for six months in kwh units for LT consumer
The krishna Murty consumption pattern for six months by appliance wise and analyzed the month wise conparision
water
cloths
Dryer
Fans +
Refrig Tv
+ heate
washer + iron cooler
lights others pump erator
computer
r
application billed
billed
billed
billed billed billed billed
billed
billed overall
ID
units
units
units
units units
units units
units
units resuLT

Sep-12
Oct-12
Nov-12

9
12
7
54

11
14
13
67

40
48
43
260

32
32
35
204

18
20
23
124

12
17
9
69

15
15
19
105

44
52
47
265

9
10
12
67

Monthly peak wise consumption for LT consumer

The consumer can visualize every month power consumption sliced into the MID PEAK,OFF PEAK and ON PEAK
and can perform what if analysis on moving from the on peak load to off peak load. it will be direct saving to
consumers in TOU Tariff and reduce the demand supply mismatch. Krishna Murty Can login to consumer energy
portal and he can do the different types of analysis.

Table monthly peak wise consumption LT consumer for six months

peak category
Mid peak billed off peak billed on peak billed Overall

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

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Volume 4, Issue 1, January 2015

Sep-12
Oct-12
Nov-12
Overall resuLT

units
KWH

units
KWH

units
KWH

resuLT

102
154
132
725

47
53
55
327

41
13
21
165

190
220
208
1217

ISSN 2319 - 4847

Figure monthly peak wise consumption LT consumer for six months

Table monthly peak wise consumption in the month of September 2012
Peak category
billed units kwh
Mid peak
102
Off peak
47
On peak
41
Overall resuLT
190

LT Consumer - krishna moorty

21%
54%

25%

Mid peak

Off peak

On peak

figure monthly peak wise consumption in the month of September 2012

Table monthly peak wise consumption in the month of October 2012
Peak category
billed units kwh
Mid peak
154
Off peak
53
On peak
13
Overall resuLT
220

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org
Volume 4, Issue 1, January 2015

ISSN 2319 - 4847

LT Consumer - krishna moorty

24%

6%

70%

Mid peak

Off peak

Table monthly peak wise consumption in the month of October 2012

Table monthly peak wise consumption in the month of november 2012
Peak category
billed units kwh
Mid peak
132
Off peak
55
On peak
21
Overall resuLT
208
10% LT Consumer - krishna moorty
26%
64%

Mid peak

Off peak

Figure monthly peak wise consumption in the month of november 2012

Daily- Month peak wise consumption for LT consumer
Daily data provides enough details for consumers to relate day- to- day activities to electricity usage.examples include
vacation days,holyday events,working days versus non working days,extreme weather days versus mild days and so on.
Only the days that are unusual stand out and those are the days the consumer care about.Krishna Murty Can login to
consumers energy portal and he can do the different types of analysis. Daily- month peak wise consumption in the
month of September 2012

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Table Daily- month peak wise consumption in the month of October 2012

Day
1
2
3
4
5

Mid peak billed

units
3
5
3
8
3

off peak billed

units
2
1
2
1
2

on peak billed
units
1
1
2
1
1

Overall
resuLT
6
7
7
10
6

6
7
8
9
10

2
6
4
3
2

3
4
1
2
1

1
0
1
1
1

6
10
6
6
4

11
12
13
14
15
16
17

2
4
7
3
4
3
5

1
2
2
1
3
1
2

1
1
0
2
1
1
1

4
7
9
6
8
5
8

18
19

2
3

2
3

3
1

7
7

20
21
22
23
24
25
26
27

6
3
4
3
2
8
3
8

2
2
2
2
2
1
1
2

1
1
1
0
1
0
1
1

9
6
7
5
5
9
5
11

28
29
30
Overall ResuLT

4
3
6
122

2
1
2
55

2
1
1
31

8
5
9
208

Volume 4, Issue 1, January 2015

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org
Volume 4, Issue 1, January 2015

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Hour wise consumption for LT customer

Hour wise consumption instantly knowing through consumer energy portal and also HAN automatically control the
power consumption with help of smart appliances. The consumer can visualize the load pattern of the power
consumption and take necessary action. Krishna Murty can logon to consumers energy portal and he can do the
different types of analysis.
Figure hourly daily consumption in the month of sept.2012

Hourly-daily consumption in the month of nov. 2012

TOU tariff calculation for LT consumer
Power companies charges consumers different prices for electricity on the basis of the time of use the electricity used so
that it will encourages consumers to shift some of their electricity uses to lower cost,non peak hours many consumers
able to reduce their electric bills and also reduce stress on the electricity generation and transmission infrastructure.
In the LT case study by seeing these reports he can able to shift the small amount of peak load into mid peak and half
peak and directly reduce the electricity bill in the TOU tariff compare to regular Tariff and in the following table will
provides the net savings to Krishna Murty.
Table TOU Tariff calculation monthly wise for LT consumer
net
billed regular
TOU
saving
units cost
cost
s

Sep-12

190

684

Oct-12

220

1265

Nov-12
Overall
resuLT

208

1196

1217

5740

Volume 4, Issue 1, January 2015

674.38
1275.3
9
1175.3
1
5618.8
4

9.62
11.15
20.69
142.7

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org
Volume 4, Issue 1, January 2015
1275.39
1265

1175.31
1196

11.15
220

20.69
208

1500
674.38
684
9.62
190

1000
500

ISSN 2319 - 4847

0
41153

billed units

41183

regular cost

41214

TOU cost

net savings

Figure TOU Tariff calculation monthly wise for LT consumer

Table TOU month wise consumption
month
regular cost
TOU cost
net savings

Sep-12
Oct-12
Nov-12

684
1265
1196

674.38
1253.85
1175.31

9.62
11.15
20.69

Overall resuLT

5740

5597.3

142.7

1500
1000

12651253.85

11961175.31

684 674.38

500
9.62

20.69

11.15

0
41153
regular cost

41183
TOU cost

41214
net savings

Figure month wise TOU Tariff calculation cost wise for LT consumers

2.CONCLUSION
It will reduce the demand supply mismatch, smart grids will be able to self heal, provide high reliability and power
quality, be resistant to cyber attacks, operate with muLTi-directional power flow, increase equipment utilization,
operate with lower cost and offer customers a variety of service choices. Smart appliances should be used in conjunction
with smart grid for reducing the peak demand. Real time information feedback regarding peak load conditions sent to
smart appliances at customer site. Reduced variability in consumption leads to lower breakdowns and lower operating
costs. The different types TOU tariff can be designed by analyzing the different load patterns. Master data
standardization can be developed for strong analysis.

REFERENCES
[1] A R Metke and R L Ekl, Security Technology for Smar Grid Networks, Smart Grid, IEEE Transactions on vol 1,
pp. 99-107, 2010
[2] T Sauter and M Lobasov, End-to-End Communication Architecture for Smart Grids, Industrial Electronics,
IEEE Transactions on, vol 58, pp. 1218-1228, 2011
[3] Z Ming-Yue, Transmission Characteristics of Low-VaoLTage Distribution Networks in China under the Smart
Grids Environment, Power Delivery, IEEE Transactions on, vol 26, pp. 173-180, 2011
[4] Z Pei L Fangxing and N Bhatt, Next Generation Monitoing, Analysis and Control for The Future Smart Control
Centre, Smart Grid, IEEE Transactions on, vol 1, pp. 186-192, 2010

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International Journal of Application or Innovation in Engineering & Management (IJAIEM)

Web Site: www.ijaiem.org Email: editor@ijaiem.org
Volume 4, Issue 1, January 2015

ISSN 2319 - 4847

[5] M Liserre, T Sauter and J Y Hung, Future Energy Systems : Integrating Renewable Enery Sources into the Smart
Power Grid through Industrial Electronics, Industrial Electronics Magazine, IEEE, vol 4, pp. 18-37, 2010
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978-988-98671-9-5
[7] R W Uluski, Interactions between AMI and Distribution Management System for Efficiency/Relaiability
Improvement at a Typical Utility
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AUTHOR
Arun Kumar Rath received his M. Tech Degree in Power Electronics and Drives from GIET, Gunupur
under BPUT and UG from BPUT. A life time member of ISTE and also a life time member of SESI ,
IAENG & MIE. He working as a Asst. professor in EEE Department at Gandhi Institute of Engineering
& Technology. He is having overall 11 years experience in Industrial and teaching fields. His interest
areas are Power system engineering and Power Electronics & smart grid technologies
Santosh Kumar Mallick, completed B.Tech from BPUT in the year 2007-11 and continuing
M.Tech in Power Electronics and Drives from GIET, Gunupur under BPUT. A life time member of
IAENG & AMIE .He is presently working as Sr.Lecturer in the Department of EEE at Gandhi
Institute of Engineering & Technology .He is having 3 years teaching experience. His interest area is
Power Electronics and Drives .
Amrit Kumar Panigrahi, completed B.Tech from BPUT in the year 2007-11 and M.Tech in VLSI
& Embedded System from KIIT University, Bhubaneswar in the year 2013. A life time member of
AMIE .He is presently working as Asst. professor in the Department of EEE at Gandhi Institute of
Engineering & Technology .He is having 3 years teaching experience. His interest area is VLSI 7
Embedded System.

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