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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 219
IMPROVED DYNAMIC PERFORMANCES OF MULTI-AREA REHEAT
THERMAL AGC POWER SYSTEMS WITH ENERGY STORAGE UNIT
K.Jagatheesan1
, B.Anand2
, Abhilash Das3
1
Assistant Professor, Department of Electrical and Electronics Engineering, Mahendra Institute of Engg and Tech., Na-
makkal, Tamilnadu, India
2
Department of ECE, Mahendra Institute of Engg and Tech, Namakkal, Tamilnadu, India
3
Associate Professor, Department of Electrical and Electronics Engineering in Hindusthan college of Engg and Tech.,
Coimbatore, Tamilnadu, India.
Abstract
A fast acting energy storage SMES unit is considering for this investigation. The present paper shows the influence of SMES
unit on the dynamic performance of the AGC system is investigated with PI controller. A simulink model of a three area
interconnected reheat thermal power system is modeled with and without considering Super conducting Magnetic Energy
Storage (SMES) unit effect. The time domain simulations are used to study the behavior of thermal power system and SMES
system. The optimal gain values of P and I are obtained by using ITAE performance indices. Finally the simulation results
reveals that SMES unit is very effectively reducing the peak overshoot, settling time, and peak time of frequency and tie -line
power deviation in the power system.
Keywords— Automatic Generation Control (AGC), Area Control Error (ACE), Energy storage unit,
Interconnected power systems, Performance indices, Proportional –Integral (PI) controller, SMES unit
-------------------------------------------------------------------------***-----------------------------------------------------------------------
1. INTRODUCTION
In electric power system, consumption power to the consumers
changes continuously at every instant of time. So maintaining
of power balance at every instant, keeps the system operation
in stable condition. The nominal values of frequency, voltage
and tie line power flow between connected areas specifies the
state of system. If the system parameters fluctuate with in the
tolerable limit, then the corresponding system is said to be a
controlled system and it works in nominal state. But practically
100% of power balance is not possible, that is power genera-
tion does not match with the power consumption. Due to this
mismatch, system yields deviation in frequency and tie line
power flow. The maximum permissible value of change in fre-
quency is ±0.5 Hz [13]. When the nominal operative frequency
changes below its specified value, it will cause metal fatigue
and blade failure in steam turbine. In order to mitigate this
problem load frequency control technique is implemented. The
role of LFC is to restore frequency fluctuation and tie line
power flow deviation into zero. This is achieved with the help
of controller; here conventional PI controller is used to make
the deviation into zero [13-15].
An energy storage device having the capability to reduce the
oscillation in system frequency and tie line power flow with in
a quick period of time [1-5]. Many energy storage units are
modeled and implemented to meet the needs with in last few
decades. The units are battery energy storage, CES, fly wheels,
SMES etc. In this paper super conducting magnetic energy
storage unit is implemented and it stores the energy in the form
of magnetic field [3, 4]. The stored energy is suddenly released
through PCS, when there is a rise in load demand. Due to this
demand, the turbine and other LFC arrangements are adjusted
for the power balance and new equilibrium. SMES coil absorbs
the energy during steady state operation of the system and ob-
served energy is released during sudden load changes. The
control of SMES unit is based on changing the firing angle of
converter in this unit [5-9]. The effective way of using SMES
unit is based on the control strategy of unit.
The main aim of the present works is
 To develop the MATLAB simulink model of three areas
interconnected thermal power system with and without
SMES unit.
 To design conventional PI controller by using ITAE
indices.
 To compare the dynamic responses of the AGC power
system with and without energy storage SMES unit
2 MULTI-AREA REHEAT THERMAL POWER
SYSTEM
A MATLAB simulink model for AGC of a three area thermal
power system with equal size is designed for this work as shown
in fig.1 [10-12]. All three areas are incorporate with reheat turbine
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 220
and interconnected through AC tie line. SMES energy unit is con-
nected in parallel to the generator terminal in all area and area
control error signal is used to control the unit. MATLAB
7.5(R2007b) has been used to obtain dynamic response for fre-
quency deviations, tie line power flow and area control error,
when 1% step load perturbation given in thermal area 1 of the
system. Conventional controller gain values in all areas obtained
by using Integral Time Absolute Error (ITAE) performance
index criterion [12].
2.1 Superconductiong Magnetic Energy Stroage
(SMES) Unit
SMES is a dc current device, which store the energy in the
form of magnetic field [1-4]. The basic component of this unit
is superconducting coil, cryogenic system, transformer and
power conversion system with proper control and protection
function arrangement. From these components, superconduct-
ing coil is the heart of SMES unit. It incorporates with vacuum
vessels and liquid vessels for the cooling arrangement of coil.
A cryogenic system is used to keep the temperature of coil be-
low its critical value of temperature. The PCS system is used
for two purposes: one is conversion of electrical energy from
dc to ac, another is to charge and discharge of coil. The power
system is connected to the PCS with help of transformer and it
also used to reduce the operating voltage into acceptable level
for the PCS.
Fig 1 Transfer function of block diagram of AGC of three area thermal power system with SMES unit.t
In the SMES unit, energy is stored in the super conducting coil
(E) and the rated power (P) is given by [3-7]
(1)
(2)
Where
L-Inductance of the coil
V – voltage across the coil
I – DC current flowing through the coil
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 221
When the superconducting coil reaches the rated current, the
SMES unit is ready for AGC or LFC control. Area control Er-
ror is sensed and it is used to control the voltage of SMES unit,
by changing the duty cycle of the chopper. The block diagram
of SMES unit as shown in fig.2
Fig 2 Block diagram of SMES unit.
3. OPTIMIZATION OF PROPORTIONAL AND
INTEGRAL CONTROLLER GAIN VALUES
As Most commonly used conventional PI controller is imple-
mented in thermal power system for performance comparison of
system with and without SMES unit. Proportional controller hav-
ing the ability to settle system very fast to its steady state level.
But it does not reduce steady state error fully. To overcome this
problem, integral controller is added in addition with P controller.
Integral controller eliminate the steady state error continuously
with little or vanished overshoot. Performance of the power sys-
tem is fully based on the values of controller gain Ki and Kp. So
optimization of gain value is very essential to meet the controlled
response. Structure of PI controller is shown in Fig.3.
Fig 3 Structure of PI controller
Fig 4 Performance Index J vs Ki (with SMES unit)
Fig 5 Performance Index J vs Kp (with SMES unit)
4. RESULTS AND DISCUSSION
Simulink model of three area power system is described in
section 2. From the uncontrolled response shown in fig.5&6. It
is clearly shown that, lacking of controller in the power system
yield more steady state error with unsettled response. In order
to mitigate this problem conventional Proportional -Integral
controller is designed and controller gain values are optimized
in section 3.
Fig 6 Uncontrolled response with and without SMES unit
(delF1)
Fig 7 Uncontrolled response with and without SMES unit
(delPtie 1)
0.0876
0.0877
0.0878
0.0879
0.088
0.0881
0.0882
1.78 1.8 1.82 1.84 1.86 1.88 1.9 1.92
Integral Gain Ki
PerformanceIndexJ
0.0738
0.07384
0.07388
0.07392
0.07396
0.074
0.07404
0.07408
3 3.2 3.4 3.6 3.8 4 4.2
Proportional Gain Kp (Ki=1.84)
PerformanceIndexJ
-0.03
-0.02
-0.01
0
0.01
0 10 20 30 40 50 60Time (s)
FrequencyDeviationinArea1(hz)
Without SMES Unit
With SMES Unit
`
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
TieLinePowerDeviationinArea1
(puMW)
Without SMES Unit
With SMES Unit
`
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 222
Dynamic performances for frequency deviations, tie line power
flow deviations and area control error with and without consi-
dering SMES unit in area1, 2 and 3, are shown in the Fig.8-16.
From the response, dotted response plot shows the response of
system without consideration of SMES unit, whereas solid line
plot shows the response of system with consideration SMES
energy storage unit. By examine the response; it is clearly de-
signate that, system yield more damping oscillations with max-
imum peak overshoot during absence of energy storage unit in
the AGC system. But system yield better controlled response,
when SMES is considered in the system operation. Perfor-
mance comparison of thermal system is shown in the table 1.
Table 1: system performance comparision with and without
considering smes unit
Fig 8 Controlled response with and without SMES unit (delF1)
Fig 9 Controlled response with and without SMES unit (delF2)
Fig 10 Controlled response with and without SMES unit
(delF3)
Fig 11 Controlled response with and without SMES unit (delP-
tie 1)
Fig 12 Controlled response with and without SMES unit (delP-
tie 2)
Fig 13 Controlled response with and without SMES unit (delP-
tie 3)
-0.03
-0.02
-0.01
0
0.01
0.02
0 10 20 30 40 50 60Time (s)
FrequencyDeviationinArea1(hz)
Without SMES Unit
With SMES Unit
`
-0.03
-0.02
-0.01
0
0.01
0.02
0 10 20 30 40 50 60Time (s)
FrequencyDeviationinArea2(hz)
Without SMES Unit
With SMES Unit
`
-0.03
-0.02
-0.01
0
0.01
0.02
0 10 20 30 40 50 60Time (s)
FrequencyDeviationinArea3(hz)
Without SMES Unit
With SMES Unit
`
-0.012
-0.008
-0.004
0
0.004
0 10 20 30 40 50 60
Time (s)
TieLinePowerDeviationinArea1
(puMW)
Without SMES Unit
With SMES Unit
`
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
TieLinePowerDeviationinArea2
(puMW)
Without SMES Unit
With SMES Unit
`
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
TieLinePowerDeviationinArea3
(puMW)
Without SMES Unit
With SMES Unit
`
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 223
Fig 14 Controlled response with and without SMES unit (ACE
1)
Fig 15 Controlled response with and without SMES unit
(ACE2)
Fig 16 Controlled response with and without SMES unit (ACE
3)
5. CONCLUSIONS
In this work, performance of three area reheat thermal power
system is improved by using SMES energy storage unit and
response is compared with and without considering energy
storage unit in all areas.Damping oscillations, peak overshoot,
settling time are improved, when compared to the response of
system without considering SMES unit.Conventional PI con-
troller gain values are optimized using Integral Time Absolute
Error (ITAE) performance index criterion.
REFERENCES
[1] T.Ise, Y.Murkami and K.Tsuji, “Simultanous active and
reactive power control of SMES unit using GTO con-
verter”, IEEE transaction on power delivery,
vol.PWRD-1, 1986, pp.143-150.
[2] S.C.tripathy, R.Balasubramaniam and
P.S.Chandramohan Nair, “Adaptive automatic genera-
tion control with SMES in power systems”, IEEE trans-
action on energy conversion, vol.7, 1992, pp.434-441.
[3] K.Tam, P.Kumar, “Application of SMES in an asyn-
chronous link between power systems”, IEEE transac-
tion on energy conversion, vol.5, 1990, pp.436-444.
[4] H.A. Peterson, N.Mohan and R.W.Boom, “Supercon-
ductive energy storage inductor-converter units for
power systems”, IEEE transaction on power apparatus
and systems, vol.PAS-94, 1975, pp.1337-1348..
[5] Y.Mitani, K.Tsuji and Y.Murkami, “Application of su-
perconducting magnet energy storage to improve power
system dynamic performance”, IEEE transcation on
power systems, vol.3, 1988, pp.1418-1425.
[6] S.Banerjee, J.K. Chatterjee and S.C.Tripathy, “Applica-
tion of magnetic energy storagge unit as load frequency
stabilizer”, IEEE transaction on energy conversion,
vol.5, 1990, pp.46-51.
[7] Wa-sur Tam and Prem Kumar,” Applications of super-
conductivie magnetic energy storage in an asynchron-
ous link between power systems”, IEEE transaction on
energy conversion, vol.5, 1990.
[8] S.C.tripathy, R.Balasubramaniam and
P.S.Chandramohan Nair, “Effect of superconducting
magnetic energy storage on automatic generation con-
trol considering governor dead and boiler dynamics”,
paper presented in the IEEE PES international power
meeting-India, 1990, and to be published in IEEE tran-
scation on power systems(Paper No. 90 IC 588-4
PWRS)
[9] S.C.Tripathy, G.S. Hope and O.P.Malik,” pOptimization
of load frequency control paprameters for power system
with reheat steam turbine and governor deadband non
linearity”, Proceedings IEEE, vol.129,Pt.C, No.1, 1982,
pp.10-16.
[10] J Nanda and J S Sakkaram, “Automatic Generation with
Fuzzy logic controller considering Generation Rate
Constraint,” Proceedings of 6th International Confe-
rence on APSCOM, Hongkong, November 2003.
[11] B Anand, A Ebenezer Jeyakumar, “Fuzzy Logic load
frequency Control of hydro - Thermal system with non-
Linearities,” Inte.J.Elec.Power Eng, vol.3, 2009,
pp.112-118.
[12] K Jagatheesan, B Anand, “Dynamic Performance of
Multi-Area Hydro Thermal Power Systems with
Integral Controller considering various performance In-
dices methods,” Proceedings of the IEEE International
conference of Emerging trends in Science, Engineering
and Technology (INCOSET), 2012, pp.474-478
-0.02
-0.016
-0.012
-0.008
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
Areacontrolerrorinarea1(pu)
Without SMES Unit
With SMES Unit
`
-0.008
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
Areacontrolerrorinarea2(pu)
Without SMES Unit
With SMES Unit
`
-0.008
-0.004
0
0.004
0.008
0 10 20 30 40 50 60
Time (s)
Areacontrolerrorinarea3(pu)
Without SMES Unit
With SMES Unit
`
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 224
[13] I.J. Nagrath, D.P. Kothari, “Power system engineering”,
Tata Mc-Graw Hill Publishing Company limited, 1994,
New Delhi, India.pp.320-344
[14] P.Kundur, “Power system stability and control”, Tata
Mc-Graw Hill Publishing company limited, 1994, New
Delhi, India.pp.581-626
[15] O.I.Elgerd, “Electric Energy System Theory: An Intro-
duction”, Tata Mc-Graw Hill Publishing company li-
mited,, New York,1970. Pp.315-389.

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Improved dynamic performances of multi area reheat thermal agc power systems with energy storage unit

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 219 IMPROVED DYNAMIC PERFORMANCES OF MULTI-AREA REHEAT THERMAL AGC POWER SYSTEMS WITH ENERGY STORAGE UNIT K.Jagatheesan1 , B.Anand2 , Abhilash Das3 1 Assistant Professor, Department of Electrical and Electronics Engineering, Mahendra Institute of Engg and Tech., Na- makkal, Tamilnadu, India 2 Department of ECE, Mahendra Institute of Engg and Tech, Namakkal, Tamilnadu, India 3 Associate Professor, Department of Electrical and Electronics Engineering in Hindusthan college of Engg and Tech., Coimbatore, Tamilnadu, India. Abstract A fast acting energy storage SMES unit is considering for this investigation. The present paper shows the influence of SMES unit on the dynamic performance of the AGC system is investigated with PI controller. A simulink model of a three area interconnected reheat thermal power system is modeled with and without considering Super conducting Magnetic Energy Storage (SMES) unit effect. The time domain simulations are used to study the behavior of thermal power system and SMES system. The optimal gain values of P and I are obtained by using ITAE performance indices. Finally the simulation results reveals that SMES unit is very effectively reducing the peak overshoot, settling time, and peak time of frequency and tie -line power deviation in the power system. Keywords— Automatic Generation Control (AGC), Area Control Error (ACE), Energy storage unit, Interconnected power systems, Performance indices, Proportional –Integral (PI) controller, SMES unit -------------------------------------------------------------------------***----------------------------------------------------------------------- 1. INTRODUCTION In electric power system, consumption power to the consumers changes continuously at every instant of time. So maintaining of power balance at every instant, keeps the system operation in stable condition. The nominal values of frequency, voltage and tie line power flow between connected areas specifies the state of system. If the system parameters fluctuate with in the tolerable limit, then the corresponding system is said to be a controlled system and it works in nominal state. But practically 100% of power balance is not possible, that is power genera- tion does not match with the power consumption. Due to this mismatch, system yields deviation in frequency and tie line power flow. The maximum permissible value of change in fre- quency is ±0.5 Hz [13]. When the nominal operative frequency changes below its specified value, it will cause metal fatigue and blade failure in steam turbine. In order to mitigate this problem load frequency control technique is implemented. The role of LFC is to restore frequency fluctuation and tie line power flow deviation into zero. This is achieved with the help of controller; here conventional PI controller is used to make the deviation into zero [13-15]. An energy storage device having the capability to reduce the oscillation in system frequency and tie line power flow with in a quick period of time [1-5]. Many energy storage units are modeled and implemented to meet the needs with in last few decades. The units are battery energy storage, CES, fly wheels, SMES etc. In this paper super conducting magnetic energy storage unit is implemented and it stores the energy in the form of magnetic field [3, 4]. The stored energy is suddenly released through PCS, when there is a rise in load demand. Due to this demand, the turbine and other LFC arrangements are adjusted for the power balance and new equilibrium. SMES coil absorbs the energy during steady state operation of the system and ob- served energy is released during sudden load changes. The control of SMES unit is based on changing the firing angle of converter in this unit [5-9]. The effective way of using SMES unit is based on the control strategy of unit. The main aim of the present works is  To develop the MATLAB simulink model of three areas interconnected thermal power system with and without SMES unit.  To design conventional PI controller by using ITAE indices.  To compare the dynamic responses of the AGC power system with and without energy storage SMES unit 2 MULTI-AREA REHEAT THERMAL POWER SYSTEM A MATLAB simulink model for AGC of a three area thermal power system with equal size is designed for this work as shown in fig.1 [10-12]. All three areas are incorporate with reheat turbine
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 220 and interconnected through AC tie line. SMES energy unit is con- nected in parallel to the generator terminal in all area and area control error signal is used to control the unit. MATLAB 7.5(R2007b) has been used to obtain dynamic response for fre- quency deviations, tie line power flow and area control error, when 1% step load perturbation given in thermal area 1 of the system. Conventional controller gain values in all areas obtained by using Integral Time Absolute Error (ITAE) performance index criterion [12]. 2.1 Superconductiong Magnetic Energy Stroage (SMES) Unit SMES is a dc current device, which store the energy in the form of magnetic field [1-4]. The basic component of this unit is superconducting coil, cryogenic system, transformer and power conversion system with proper control and protection function arrangement. From these components, superconduct- ing coil is the heart of SMES unit. It incorporates with vacuum vessels and liquid vessels for the cooling arrangement of coil. A cryogenic system is used to keep the temperature of coil be- low its critical value of temperature. The PCS system is used for two purposes: one is conversion of electrical energy from dc to ac, another is to charge and discharge of coil. The power system is connected to the PCS with help of transformer and it also used to reduce the operating voltage into acceptable level for the PCS. Fig 1 Transfer function of block diagram of AGC of three area thermal power system with SMES unit.t In the SMES unit, energy is stored in the super conducting coil (E) and the rated power (P) is given by [3-7] (1) (2) Where L-Inductance of the coil V – voltage across the coil I – DC current flowing through the coil
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 221 When the superconducting coil reaches the rated current, the SMES unit is ready for AGC or LFC control. Area control Er- ror is sensed and it is used to control the voltage of SMES unit, by changing the duty cycle of the chopper. The block diagram of SMES unit as shown in fig.2 Fig 2 Block diagram of SMES unit. 3. OPTIMIZATION OF PROPORTIONAL AND INTEGRAL CONTROLLER GAIN VALUES As Most commonly used conventional PI controller is imple- mented in thermal power system for performance comparison of system with and without SMES unit. Proportional controller hav- ing the ability to settle system very fast to its steady state level. But it does not reduce steady state error fully. To overcome this problem, integral controller is added in addition with P controller. Integral controller eliminate the steady state error continuously with little or vanished overshoot. Performance of the power sys- tem is fully based on the values of controller gain Ki and Kp. So optimization of gain value is very essential to meet the controlled response. Structure of PI controller is shown in Fig.3. Fig 3 Structure of PI controller Fig 4 Performance Index J vs Ki (with SMES unit) Fig 5 Performance Index J vs Kp (with SMES unit) 4. RESULTS AND DISCUSSION Simulink model of three area power system is described in section 2. From the uncontrolled response shown in fig.5&6. It is clearly shown that, lacking of controller in the power system yield more steady state error with unsettled response. In order to mitigate this problem conventional Proportional -Integral controller is designed and controller gain values are optimized in section 3. Fig 6 Uncontrolled response with and without SMES unit (delF1) Fig 7 Uncontrolled response with and without SMES unit (delPtie 1) 0.0876 0.0877 0.0878 0.0879 0.088 0.0881 0.0882 1.78 1.8 1.82 1.84 1.86 1.88 1.9 1.92 Integral Gain Ki PerformanceIndexJ 0.0738 0.07384 0.07388 0.07392 0.07396 0.074 0.07404 0.07408 3 3.2 3.4 3.6 3.8 4 4.2 Proportional Gain Kp (Ki=1.84) PerformanceIndexJ -0.03 -0.02 -0.01 0 0.01 0 10 20 30 40 50 60Time (s) FrequencyDeviationinArea1(hz) Without SMES Unit With SMES Unit ` -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) TieLinePowerDeviationinArea1 (puMW) Without SMES Unit With SMES Unit `
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 222 Dynamic performances for frequency deviations, tie line power flow deviations and area control error with and without consi- dering SMES unit in area1, 2 and 3, are shown in the Fig.8-16. From the response, dotted response plot shows the response of system without consideration of SMES unit, whereas solid line plot shows the response of system with consideration SMES energy storage unit. By examine the response; it is clearly de- signate that, system yield more damping oscillations with max- imum peak overshoot during absence of energy storage unit in the AGC system. But system yield better controlled response, when SMES is considered in the system operation. Perfor- mance comparison of thermal system is shown in the table 1. Table 1: system performance comparision with and without considering smes unit Fig 8 Controlled response with and without SMES unit (delF1) Fig 9 Controlled response with and without SMES unit (delF2) Fig 10 Controlled response with and without SMES unit (delF3) Fig 11 Controlled response with and without SMES unit (delP- tie 1) Fig 12 Controlled response with and without SMES unit (delP- tie 2) Fig 13 Controlled response with and without SMES unit (delP- tie 3) -0.03 -0.02 -0.01 0 0.01 0.02 0 10 20 30 40 50 60Time (s) FrequencyDeviationinArea1(hz) Without SMES Unit With SMES Unit ` -0.03 -0.02 -0.01 0 0.01 0.02 0 10 20 30 40 50 60Time (s) FrequencyDeviationinArea2(hz) Without SMES Unit With SMES Unit ` -0.03 -0.02 -0.01 0 0.01 0.02 0 10 20 30 40 50 60Time (s) FrequencyDeviationinArea3(hz) Without SMES Unit With SMES Unit ` -0.012 -0.008 -0.004 0 0.004 0 10 20 30 40 50 60 Time (s) TieLinePowerDeviationinArea1 (puMW) Without SMES Unit With SMES Unit ` -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) TieLinePowerDeviationinArea2 (puMW) Without SMES Unit With SMES Unit ` -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) TieLinePowerDeviationinArea3 (puMW) Without SMES Unit With SMES Unit `
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 223 Fig 14 Controlled response with and without SMES unit (ACE 1) Fig 15 Controlled response with and without SMES unit (ACE2) Fig 16 Controlled response with and without SMES unit (ACE 3) 5. CONCLUSIONS In this work, performance of three area reheat thermal power system is improved by using SMES energy storage unit and response is compared with and without considering energy storage unit in all areas.Damping oscillations, peak overshoot, settling time are improved, when compared to the response of system without considering SMES unit.Conventional PI con- troller gain values are optimized using Integral Time Absolute Error (ITAE) performance index criterion. REFERENCES [1] T.Ise, Y.Murkami and K.Tsuji, “Simultanous active and reactive power control of SMES unit using GTO con- verter”, IEEE transaction on power delivery, vol.PWRD-1, 1986, pp.143-150. [2] S.C.tripathy, R.Balasubramaniam and P.S.Chandramohan Nair, “Adaptive automatic genera- tion control with SMES in power systems”, IEEE trans- action on energy conversion, vol.7, 1992, pp.434-441. [3] K.Tam, P.Kumar, “Application of SMES in an asyn- chronous link between power systems”, IEEE transac- tion on energy conversion, vol.5, 1990, pp.436-444. [4] H.A. Peterson, N.Mohan and R.W.Boom, “Supercon- ductive energy storage inductor-converter units for power systems”, IEEE transaction on power apparatus and systems, vol.PAS-94, 1975, pp.1337-1348.. [5] Y.Mitani, K.Tsuji and Y.Murkami, “Application of su- perconducting magnet energy storage to improve power system dynamic performance”, IEEE transcation on power systems, vol.3, 1988, pp.1418-1425. [6] S.Banerjee, J.K. Chatterjee and S.C.Tripathy, “Applica- tion of magnetic energy storagge unit as load frequency stabilizer”, IEEE transaction on energy conversion, vol.5, 1990, pp.46-51. [7] Wa-sur Tam and Prem Kumar,” Applications of super- conductivie magnetic energy storage in an asynchron- ous link between power systems”, IEEE transaction on energy conversion, vol.5, 1990. [8] S.C.tripathy, R.Balasubramaniam and P.S.Chandramohan Nair, “Effect of superconducting magnetic energy storage on automatic generation con- trol considering governor dead and boiler dynamics”, paper presented in the IEEE PES international power meeting-India, 1990, and to be published in IEEE tran- scation on power systems(Paper No. 90 IC 588-4 PWRS) [9] S.C.Tripathy, G.S. Hope and O.P.Malik,” pOptimization of load frequency control paprameters for power system with reheat steam turbine and governor deadband non linearity”, Proceedings IEEE, vol.129,Pt.C, No.1, 1982, pp.10-16. [10] J Nanda and J S Sakkaram, “Automatic Generation with Fuzzy logic controller considering Generation Rate Constraint,” Proceedings of 6th International Confe- rence on APSCOM, Hongkong, November 2003. [11] B Anand, A Ebenezer Jeyakumar, “Fuzzy Logic load frequency Control of hydro - Thermal system with non- Linearities,” Inte.J.Elec.Power Eng, vol.3, 2009, pp.112-118. [12] K Jagatheesan, B Anand, “Dynamic Performance of Multi-Area Hydro Thermal Power Systems with Integral Controller considering various performance In- dices methods,” Proceedings of the IEEE International conference of Emerging trends in Science, Engineering and Technology (INCOSET), 2012, pp.474-478 -0.02 -0.016 -0.012 -0.008 -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) Areacontrolerrorinarea1(pu) Without SMES Unit With SMES Unit ` -0.008 -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) Areacontrolerrorinarea2(pu) Without SMES Unit With SMES Unit ` -0.008 -0.004 0 0.004 0.008 0 10 20 30 40 50 60 Time (s) Areacontrolerrorinarea3(pu) Without SMES Unit With SMES Unit `
  • 6. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | PISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Special Issue: 07 | May-2014, Available @ http://www.ijret.org 224 [13] I.J. Nagrath, D.P. Kothari, “Power system engineering”, Tata Mc-Graw Hill Publishing Company limited, 1994, New Delhi, India.pp.320-344 [14] P.Kundur, “Power system stability and control”, Tata Mc-Graw Hill Publishing company limited, 1994, New Delhi, India.pp.581-626 [15] O.I.Elgerd, “Electric Energy System Theory: An Intro- duction”, Tata Mc-Graw Hill Publishing company li- mited,, New York,1970. Pp.315-389.