SlideShare a Scribd company logo
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 2 Ver. I (Mar. – Apr. 2016), PP 13-17
www.iosrjournals.org
DOI: 10.9790/1676-1102011317 www.iosrjournals.org 13 | Page
Automatic Load Frequency Control of Two Area Power System
Using Proportional Integral Derivative Tuning Through Internal
Model Control
Aibangbee J. O
(D Department of Electrical and Computer Engineering, BELLs University of Technology, Ota, Ogun State-
Nigeria.
Abstract: The main purpose of operating Load Frequency Control (LFC) is to keep uniformly the frequency
changes during the load changes. In this paper, Automatic Load Frequency control of two area power systems
using Proportional Integral Derivative (PID) tuning through internal model control (IMC) technique. Two main
objectives of LFC are to maintain the real frequency and the desired power output in the interconnected power
system and, to control the change in tie line power between control areas. The PID-IMC controller have the
ability to provide high adaption for changing conditions and the ability for making quick decisions. The
controller are used to improve the dynamic response as well as to reduce or eliminate the steady-state error. It
is much faster, applicable under different nonlinearities and give better stability response as compared to the
conventional integral Load Frequency controllers for a two area power system.
Keywords: Proportional Integral Derivative, Load Frequency Control, internal model control, Tie-line,
Twoarea power systemso
I. Introduction
The main purpose of operating the load frequency control is to keep uniformly the frequency changes
during the load changes. During the power system operation rotor angle, frequency and active power are the
main parameters to change [1]. The interconnection of more than one control areas through tie lines is call
power systems. Generating plants in a control area always vary their speed together for maintenance of
frequency and the relative power angles to the predefined values in both static and dynamic conditions. When
there is any sudden load change occurs in a control area of an interconnected power system there will be
frequency deviation as well as tie line power deviation. Two main objective of Load Frequency Control (LFC)
are, to maintain the real frequency and the desired power output in the interconnected power system and, to
control the change in tie line power between control areas [2]. When there is a small change in load power in a
single area power system operating at set value of frequency it creates mismatch in power both for generation
and demand. Nowadays there are more complex power systems which required operation in less structured and
uncertain environment. Similarly innovative and improved control is required for economic, secure and stable
operation. The conventional Proportional Integral (PI) controller [3,4] has the following drawback a) Inherent
nonlinearity of different power system components; b) There is continuous load changes occurrence during
daily cycle, this changes the operating point accordingly and c) very slow in operation [5]. In this paper, a
proposed advance control techniques having the ability to provide high adaption for changing conditions and the
ability for making quick decisions is the Proportional Integral Derivative (PID) controller. The PID controller is
used to improve the dynamic response as well as to reduce or eliminate the steady-state error [6]
Two Area Power Systems
A two area system consists of two single area systems, connected through a power line called tie-line.
Figure 1 shows a two area power system where each area supplies to its own area and the power flow between
the areas are allowed by the tie line. For two area power system, the individual areas are strong, the tie line
which connects the two area is weak and a single frequency is characterized throughout. A block diagram model
of two area power system with integral controller is shown in Figure 2. The block diagram model contained two
control inputs named u1 and u2. The block diagram representing a two area power system model is having two
control areas connected to each other through a line having its own dynamics (block 7) called tie line. From the
figure it is clearly seen that the control areas are made-up with three block each with an integral controller
block. The three blocks are namely governor block, turbine block, and the power system block which is actually
the load block.
Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative..
DOI: 10.9790/1676-1102011317 www.iosrjournals.org 14 | Page
Figure1: Two area interconnected power system
Model of a Two Area Thermal Non-Reheat Power System
Both areas consist of four blocks each and another one block represents the tie line power. Therefore
total 9 blocks are present for the whole system [7,8].
The control input equations can be written as below:
For area 1 (at block 8)
= ( ) ( ) (1)
For area 2 (at block 9)
= ( ) ( ) (2)
Where ACE1 and ACE2 are the Area Control Errors of area-1 and area-2 respectively. KT is the integral gain
for both the areas.
Figure 2: Two area thermal (non-reheat) power system with integral controller
II. Materials And Methods
Tuning of PID controllers proposed for LFC via Internal model control (IMC) considering the
simplicity of their execution [8,9,10,11] in load frequency controller PID tuning method for two area power
system.
A. Design of Internal model control (IMC)
An internal model control (IMC) method is adapted for load frequency controller design. In Process
control IMC is a very popular controller [7]. Figure 3 show the IMC structure where the plant to be controlled is
‗P‘, and the plant model is ‗Ṗ‘.
Figure 3: IMC structure
IMC design procedure is given in equation 3 as
Ṗ (s) = PM (s) PA (s) (3)
Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative..
DOI: 10.9790/1676-1102011317 www.iosrjournals.org 15 | Page
Where PM (s) invertible minimum phase in part, and PA (s) is the no minimum phase part with unity
magnitude.
Design an IMC controller
Q(s) = PM
-1
(s) (4)
Where 𝜆 = the tuning parameter,
= the desired set point response and
r = the degree of PM (s).
It is shown that the IMC controller gives very good tracking performance but not satisfying the
disturbance rejection performance some times. So a secondary controller Qd is included to optimize the
disturbance rejection performance.
The designed disturbance rejecting IMC controller is given as
= (5)
Where 𝜆d is the disturbance rejection tuning parameter, 'm‘ is the number of poles Ṕ(s).
The feedback controller K is equals to
K = (6)
Here K is considered as the PID controller.
Direct implementation of IMC controller needs higher order transfer function knowledge if the model Ṗ
is of higher order, as discussed in LFC of power system. So the IMC structure is transformed to a PID control
structure.
Figure 4: IMC equivalent conventional feedback configuration
The standard technique of tuning the PID parameters from IMC controllers is to expand the controller
block K shown in Figure 4 in to Maclaurin series. The first three terms coefficients of the Maclaurin series are
the parameters of the PID controller.
B. Load Frequency Control PID Design
The tuning of PID controller is to improve the performance of the load frequency control of power
system as represented by the single area model shown in figure 5.
Figure 5: Linear model of a single area power system
So the control law u K(s) f,
Where K(s) = (7)
Practically PID controller is implemented to reduce the noise effect. So K(s) can be written as K(s) =
where N is called the filter constant.
Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative..
DOI: 10.9790/1676-1102011317 www.iosrjournals.org 16 | Page
III. Analysis And Results
The performance of IMC-PID controller are shown in figures 6 to 8. The responses shown are in form
of dynamic responses of each area frequencies and the power of tie line, for the two area power system model.
Results of IMC-PID Controller for LFC of Two Area Power System
Figures 6, 7, and 8 are showing the dynamic responses of deviation in frequency for both the areas ( f1,
f2 ) and the power deviation in tie line ( tie( ) for a power system having two control areas with
thermal non-reheat turbines. The figures show the performances of a PID controller for LFC of power system,
tuned via IMC. Figures shows that the responses are stable with very less overshoot and less settling time. So
PID - IMC controller is a powerful controller which gives better stability for LFC of a two area power system.
Figure 6: change in frequency V/S time in area-1 for 0.01 step load change in area-1
Figure 7: change in frequency V/S time in area-2 for 0.01 step load change in area-1
The figures show that the IMC-PID controller gives better response than the conventional integral
controller for LFC of power system.
Figure 8: change in tie line power V/S time for 0.01 step load change in area-1
IV. Conclusions
Model of a two area interconnected power system has been developed with different area
characteristics for optimal and conventional control strategies. The control equations have successfully been
derived in continuous time for a two area power system. The model developed has been examined for the
stability before and after the application of state feedback control.
An IMC-PID controller is designed for LFC of the proposed power system via Internal Model Control
(IMC) and its results are compared with conventional integral Load Frequency Controller for a two area power
system. So PID controller is designed on the basis of IMC controller and applied for LFC of a two area power
system and well stabilized responses are obtained.
References
[1] S. Sivanagaraju, G. Sreenivasan. Power System Operation and Control, 2008.
[2] Jawat, T. and Fadel, A, B. ―Adaptive Fuzzy Gain Scheduling for load frequency control‖ IEEE Trans. On PAS, vol,14, No1
February1999.
Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative..
DOI: 10.9790/1676-1102011317 www.iosrjournals.org 17 | Page
[3] N. Cohn, ‗Some aspects of tie-line bias control on interconnected power systems,‘ Amer. Inst. Elect. Eng. Trans., Vol. 75, pp. 1415-
1436, Feb. 1957.
[4] B. Oni, H. Graham, and L. Walker, ‗nonlinear tie-line bias control of Interconnected power systems,‘ IEEE Trans. Power App.Syst.,
vol. PAS-100 no. 5 pp. 2350–2356.
[5] E. C. Tacker, T. W. Reddoch, O. T. Pan, and T. D. Linton, ‗Automatic generation Control of electric energy systems—A simulation
study,‘ IEEE Trans. Syst. Man Cybern., vol. SMC-3, no. 4, pp. 403–5, Jul. 1973.
[6] A. Khodabakhshian and M. Edrisi, ―A new robust PID load frequency controller,‖ Control Eng. Pract., vol. 16, no. 9, pp. 1069–
1080, 2008.
[7] M. Morari and E. Zafiriou, Robust Process Control. Englewood Cliffs, NJ: Prentice- Hall, 1989.
[8] Niranjan et al. ―load frequency control of power system,‖ 2013.
[9] J. Talaq and F. Al-Basri, ―Adaptive fuzzy gain scheduling for load frequency control,‖ IEEE Trans. Power Syst., vol. 14, no. 1,
pp. 145–150, Feb. 1999.
[10] M. F. Hossain, T. Takahashi, M. G. Rabbani, M. R. I. Sheikh, and M. Anower, ―Fuzzy proportional integral controller for an AGC
in a single area power system,‖ in Proc. 4th
Int. Conf. Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 120–
123, Dec. 2006.
[11] Y. H. Moon, H. S. Ryu, J. G. Lee, and S. Kim, ―Power system load frequency control using noise-tolerable PID feedback,‖ in Proc.
IEEE Int. Symp. Industrial Electronics (ISIE), vol. 3, pp. 1714–1718, Jun. 2001.
[12] A. Khodabakhshian and N. Golbon, ―Unified PID design for load frequency control,‖ in Proc. 2004 IEEE Int. Conf. Control
Applications (CCA), Taipei, Taiwan, pp. 1627–1632,Sep. 2004.

More Related Content

What's hot

Load Frequency Control of Multi Area System using Integral-Fuzzy Controller
Load Frequency Control of Multi Area System using Integral-Fuzzy ControllerLoad Frequency Control of Multi Area System using Integral-Fuzzy Controller
Load Frequency Control of Multi Area System using Integral-Fuzzy Controller
IJERA Editor
 
Stability analysis of photovoltaic system under grid faults
Stability analysis of photovoltaic system under grid faultsStability analysis of photovoltaic system under grid faults
Stability analysis of photovoltaic system under grid faults
International Journal of Power Electronics and Drive Systems
 
IRJET- Design and Implementation of PWM Rectifier with Power Factor Control
IRJET- Design and Implementation of PWM Rectifier with Power Factor ControlIRJET- Design and Implementation of PWM Rectifier with Power Factor Control
IRJET- Design and Implementation of PWM Rectifier with Power Factor Control
IRJET Journal
 
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
International Journal of Power Electronics and Drive Systems
 
Digital Implementation of Paralleling DC_DC conv
Digital Implementation of Paralleling DC_DC convDigital Implementation of Paralleling DC_DC conv
Digital Implementation of Paralleling DC_DC convdhananjay.p yadav
 
Starting of induction motor fed with stand-alone DFIG
Starting of induction motor fed with stand-alone DFIGStarting of induction motor fed with stand-alone DFIG
Starting of induction motor fed with stand-alone DFIG
journalBEEI
 
A1103030111
A1103030111A1103030111
A1103030111
IOSR Journals
 
Fi34989995
Fi34989995Fi34989995
Fi34989995
IJERA Editor
 
NARMA-L2 Controller for Five-Area Load Frequency Control
NARMA-L2 Controller for Five-Area Load Frequency ControlNARMA-L2 Controller for Five-Area Load Frequency Control
NARMA-L2 Controller for Five-Area Load Frequency Control
ijeei-iaes
 
Ijartes v2-i4-001
Ijartes v2-i4-001Ijartes v2-i4-001
Ijartes v2-i4-001IJARTES
 
V fuzzy logic implementation for induction motor control
V fuzzy logic implementation for induction motor controlV fuzzy logic implementation for induction motor control
V fuzzy logic implementation for induction motor control
kypameenendranathred
 
Aa4103156160
Aa4103156160Aa4103156160
Aa4103156160
IJERA Editor
 
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
 
IRJET- Vector Control of Three Phase Induction Motor
IRJET- Vector Control of Three Phase Induction MotorIRJET- Vector Control of Three Phase Induction Motor
IRJET- Vector Control of Three Phase Induction Motor
IRJET Journal
 
Power System Stability Enhancement Using FLC and MPC for STATCOM
Power System Stability Enhancement Using FLC and MPC for STATCOMPower System Stability Enhancement Using FLC and MPC for STATCOM
Power System Stability Enhancement Using FLC and MPC for STATCOM
IJERA Editor
 
A hybrid approach for ipfc location and parameters optimization for congestio...
A hybrid approach for ipfc location and parameters optimization for congestio...A hybrid approach for ipfc location and parameters optimization for congestio...
A hybrid approach for ipfc location and parameters optimization for congestio...
eSAT Journals
 
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
International Journal of Engineering Inventions www.ijeijournal.com
 
Solar energy based impedance-source inverter for grid system
Solar energy based impedance-source inverter for grid systemSolar energy based impedance-source inverter for grid system
Solar energy based impedance-source inverter for grid system
IJECEIAES
 
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINESFUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
IAEME Publication
 
Fractional PID controlled cascaded flyback switched mode power supply with en...
Fractional PID controlled cascaded flyback switched mode power supply with en...Fractional PID controlled cascaded flyback switched mode power supply with en...
Fractional PID controlled cascaded flyback switched mode power supply with en...
International Journal of Power Electronics and Drive Systems
 

What's hot (20)

Load Frequency Control of Multi Area System using Integral-Fuzzy Controller
Load Frequency Control of Multi Area System using Integral-Fuzzy ControllerLoad Frequency Control of Multi Area System using Integral-Fuzzy Controller
Load Frequency Control of Multi Area System using Integral-Fuzzy Controller
 
Stability analysis of photovoltaic system under grid faults
Stability analysis of photovoltaic system under grid faultsStability analysis of photovoltaic system under grid faults
Stability analysis of photovoltaic system under grid faults
 
IRJET- Design and Implementation of PWM Rectifier with Power Factor Control
IRJET- Design and Implementation of PWM Rectifier with Power Factor ControlIRJET- Design and Implementation of PWM Rectifier with Power Factor Control
IRJET- Design and Implementation of PWM Rectifier with Power Factor Control
 
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
Fractional Order PID Controlled Interleaved Boost converter Fed Shunt Active ...
 
Digital Implementation of Paralleling DC_DC conv
Digital Implementation of Paralleling DC_DC convDigital Implementation of Paralleling DC_DC conv
Digital Implementation of Paralleling DC_DC conv
 
Starting of induction motor fed with stand-alone DFIG
Starting of induction motor fed with stand-alone DFIGStarting of induction motor fed with stand-alone DFIG
Starting of induction motor fed with stand-alone DFIG
 
A1103030111
A1103030111A1103030111
A1103030111
 
Fi34989995
Fi34989995Fi34989995
Fi34989995
 
NARMA-L2 Controller for Five-Area Load Frequency Control
NARMA-L2 Controller for Five-Area Load Frequency ControlNARMA-L2 Controller for Five-Area Load Frequency Control
NARMA-L2 Controller for Five-Area Load Frequency Control
 
Ijartes v2-i4-001
Ijartes v2-i4-001Ijartes v2-i4-001
Ijartes v2-i4-001
 
V fuzzy logic implementation for induction motor control
V fuzzy logic implementation for induction motor controlV fuzzy logic implementation for induction motor control
V fuzzy logic implementation for induction motor control
 
Aa4103156160
Aa4103156160Aa4103156160
Aa4103156160
 
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
 
IRJET- Vector Control of Three Phase Induction Motor
IRJET- Vector Control of Three Phase Induction MotorIRJET- Vector Control of Three Phase Induction Motor
IRJET- Vector Control of Three Phase Induction Motor
 
Power System Stability Enhancement Using FLC and MPC for STATCOM
Power System Stability Enhancement Using FLC and MPC for STATCOMPower System Stability Enhancement Using FLC and MPC for STATCOM
Power System Stability Enhancement Using FLC and MPC for STATCOM
 
A hybrid approach for ipfc location and parameters optimization for congestio...
A hybrid approach for ipfc location and parameters optimization for congestio...A hybrid approach for ipfc location and parameters optimization for congestio...
A hybrid approach for ipfc location and parameters optimization for congestio...
 
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
Cuckoo Search Optimization Algorithm based Load Frequency Control of Intercon...
 
Solar energy based impedance-source inverter for grid system
Solar energy based impedance-source inverter for grid systemSolar energy based impedance-source inverter for grid system
Solar energy based impedance-source inverter for grid system
 
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINESFUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
FUZZY LOGIC CONTROL DESIGN FOR ELECTRICAL MACHINES
 
Fractional PID controlled cascaded flyback switched mode power supply with en...
Fractional PID controlled cascaded flyback switched mode power supply with en...Fractional PID controlled cascaded flyback switched mode power supply with en...
Fractional PID controlled cascaded flyback switched mode power supply with en...
 

Viewers also liked

Q01061117126
Q01061117126Q01061117126
Q01061117126
IOSR Journals
 
L010218691
L010218691L010218691
L010218691
IOSR Journals
 
D017311724
D017311724D017311724
D017311724
IOSR Journals
 
Periodic Table Gets Crowded In Year 2011.
Periodic Table Gets Crowded In Year 2011.Periodic Table Gets Crowded In Year 2011.
Periodic Table Gets Crowded In Year 2011.
IOSR Journals
 
On The Origin of Electromagnetic Waves from Lightning Discharges
On The Origin of Electromagnetic Waves from Lightning DischargesOn The Origin of Electromagnetic Waves from Lightning Discharges
On The Origin of Electromagnetic Waves from Lightning Discharges
IOSR Journals
 
G011124753
G011124753G011124753
G011124753
IOSR Journals
 
L0947075
L0947075L0947075
L0947075
IOSR Journals
 
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
IOSR Journals
 
Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...
IOSR Journals
 
L012117482
L012117482L012117482
L012117482
IOSR Journals
 
H1803025360
H1803025360H1803025360
H1803025360
IOSR Journals
 
B012460814
B012460814B012460814
B012460814
IOSR Journals
 
N0123298103
N0123298103N0123298103
N0123298103
IOSR Journals
 
A017540106
A017540106A017540106
A017540106
IOSR Journals
 
C018211723
C018211723C018211723
C018211723
IOSR Journals
 
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure  CommunicationVehicle Obstacles Avoidance Using Vehicle- To Infrastructure  Communication
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
IOSR Journals
 
D017232729
D017232729D017232729
D017232729
IOSR Journals
 
E017363243
E017363243E017363243
E017363243
IOSR Journals
 
A017160104
A017160104A017160104
A017160104
IOSR Journals
 

Viewers also liked (20)

Q01061117126
Q01061117126Q01061117126
Q01061117126
 
L010218691
L010218691L010218691
L010218691
 
D017311724
D017311724D017311724
D017311724
 
Periodic Table Gets Crowded In Year 2011.
Periodic Table Gets Crowded In Year 2011.Periodic Table Gets Crowded In Year 2011.
Periodic Table Gets Crowded In Year 2011.
 
On The Origin of Electromagnetic Waves from Lightning Discharges
On The Origin of Electromagnetic Waves from Lightning DischargesOn The Origin of Electromagnetic Waves from Lightning Discharges
On The Origin of Electromagnetic Waves from Lightning Discharges
 
G011124753
G011124753G011124753
G011124753
 
A0730103
A0730103A0730103
A0730103
 
L0947075
L0947075L0947075
L0947075
 
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
Longitudinal Skeleton Dimensionality Characteristics of Nigerian Junior Male ...
 
Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...
 
L012117482
L012117482L012117482
L012117482
 
H1803025360
H1803025360H1803025360
H1803025360
 
B012460814
B012460814B012460814
B012460814
 
N0123298103
N0123298103N0123298103
N0123298103
 
A017540106
A017540106A017540106
A017540106
 
C018211723
C018211723C018211723
C018211723
 
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure  CommunicationVehicle Obstacles Avoidance Using Vehicle- To Infrastructure  Communication
Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication
 
D017232729
D017232729D017232729
D017232729
 
E017363243
E017363243E017363243
E017363243
 
A017160104
A017160104A017160104
A017160104
 

Similar to C1102011317

A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
IRJET Journal
 
Ijeet 06 08_005
Ijeet 06 08_005Ijeet 06 08_005
Ijeet 06 08_005
IAEME Publication
 
V044145150
V044145150V044145150
V044145150
IJERA Editor
 
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
IRJET Journal
 
IRJET- Load Frequency Control in Two Area Power Systems Integrated with S...
IRJET-  	  Load Frequency Control in Two Area Power Systems Integrated with S...IRJET-  	  Load Frequency Control in Two Area Power Systems Integrated with S...
IRJET- Load Frequency Control in Two Area Power Systems Integrated with S...
IRJET Journal
 
Load Frequency Control in Three Area Power System using Fuzzy Logic Controller
Load Frequency Control in Three Area Power System using Fuzzy Logic ControllerLoad Frequency Control in Three Area Power System using Fuzzy Logic Controller
Load Frequency Control in Three Area Power System using Fuzzy Logic Controller
ijtsrd
 
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
IJERA Editor
 
J010346786
J010346786J010346786
J010346786
IOSR Journals
 
Automatic generation-control-of-interconnected-power-system-with-generation-r...
Automatic generation-control-of-interconnected-power-system-with-generation-r...Automatic generation-control-of-interconnected-power-system-with-generation-r...
Automatic generation-control-of-interconnected-power-system-with-generation-r...Cemal Ardil
 
Automatic Generation Control of Multi-Area Power System with Generating Rate ...
Automatic Generation Control of Multi-Area Power System with Generating Rate ...Automatic Generation Control of Multi-Area Power System with Generating Rate ...
Automatic Generation Control of Multi-Area Power System with Generating Rate ...
IJAPEJOURNAL
 
Improved dynamic performances of multi area reheat thermal agc power systems ...
Improved dynamic performances of multi area reheat thermal agc power systems ...Improved dynamic performances of multi area reheat thermal agc power systems ...
Improved dynamic performances of multi area reheat thermal agc power systems ...
eSAT Publishing House
 
Performance improvement of decentralized control for bidirectional converters...
Performance improvement of decentralized control for bidirectional converters...Performance improvement of decentralized control for bidirectional converters...
Performance improvement of decentralized control for bidirectional converters...
International Journal of Power Electronics and Drive Systems
 
Automatic power generation control structure for smart electrical power grids
Automatic power generation control structure for smart electrical power gridsAutomatic power generation control structure for smart electrical power grids
Automatic power generation control structure for smart electrical power grids
eSAT Publishing House
 
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
IRJET Journal
 
Design of Load Frequency Controllers for Interconnected Power Systems with Su...
Design of Load Frequency Controllers for Interconnected Power Systems with Su...Design of Load Frequency Controllers for Interconnected Power Systems with Su...
Design of Load Frequency Controllers for Interconnected Power Systems with Su...
IOSR Journals
 
Load frequency control in a deregulated power system
Load frequency   control  in a deregulated power systemLoad frequency   control  in a deregulated power system
Load frequency control in a deregulated power system
selvakumar R
 
PI and LQR controllers for Frequency Regulation including Wind Generation
PI and LQR controllers for Frequency Regulation including Wind GenerationPI and LQR controllers for Frequency Regulation including Wind Generation
PI and LQR controllers for Frequency Regulation including Wind Generation
IJECEIAES
 
Fuzzy and predictive control of a photovoltaic pumping system based on three-...
Fuzzy and predictive control of a photovoltaic pumping system based on three-...Fuzzy and predictive control of a photovoltaic pumping system based on three-...
Fuzzy and predictive control of a photovoltaic pumping system based on three-...
journalBEEI
 

Similar to C1102011317 (20)

A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
A New Control Method for the Multi-Area LFC System Based on Port-Hamiltonian ...
 
Ijeet 06 08_005
Ijeet 06 08_005Ijeet 06 08_005
Ijeet 06 08_005
 
V044145150
V044145150V044145150
V044145150
 
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
IRJET- Load Frequency Control of an Interconnected Power System using Grey Wo...
 
IRJET- Load Frequency Control in Two Area Power Systems Integrated with S...
IRJET-  	  Load Frequency Control in Two Area Power Systems Integrated with S...IRJET-  	  Load Frequency Control in Two Area Power Systems Integrated with S...
IRJET- Load Frequency Control in Two Area Power Systems Integrated with S...
 
Load Frequency Control in Three Area Power System using Fuzzy Logic Controller
Load Frequency Control in Three Area Power System using Fuzzy Logic ControllerLoad Frequency Control in Three Area Power System using Fuzzy Logic Controller
Load Frequency Control in Three Area Power System using Fuzzy Logic Controller
 
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
Study of PID Controllers to Load Frequency Control Systems with Various Turbi...
 
J010346786
J010346786J010346786
J010346786
 
Automatic generation-control-of-interconnected-power-system-with-generation-r...
Automatic generation-control-of-interconnected-power-system-with-generation-r...Automatic generation-control-of-interconnected-power-system-with-generation-r...
Automatic generation-control-of-interconnected-power-system-with-generation-r...
 
Automatic Generation Control of Multi-Area Power System with Generating Rate ...
Automatic Generation Control of Multi-Area Power System with Generating Rate ...Automatic Generation Control of Multi-Area Power System with Generating Rate ...
Automatic Generation Control of Multi-Area Power System with Generating Rate ...
 
Improved dynamic performances of multi area reheat thermal agc power systems ...
Improved dynamic performances of multi area reheat thermal agc power systems ...Improved dynamic performances of multi area reheat thermal agc power systems ...
Improved dynamic performances of multi area reheat thermal agc power systems ...
 
Performance improvement of decentralized control for bidirectional converters...
Performance improvement of decentralized control for bidirectional converters...Performance improvement of decentralized control for bidirectional converters...
Performance improvement of decentralized control for bidirectional converters...
 
Automatic power generation control structure for smart electrical power grids
Automatic power generation control structure for smart electrical power gridsAutomatic power generation control structure for smart electrical power grids
Automatic power generation control structure for smart electrical power grids
 
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
IRJET- Stability Enhancement using Power System Stabilizer with Optimization ...
 
R04601113118
R04601113118R04601113118
R04601113118
 
Design of Load Frequency Controllers for Interconnected Power Systems with Su...
Design of Load Frequency Controllers for Interconnected Power Systems with Su...Design of Load Frequency Controllers for Interconnected Power Systems with Su...
Design of Load Frequency Controllers for Interconnected Power Systems with Su...
 
Ib2615731577
Ib2615731577Ib2615731577
Ib2615731577
 
Load frequency control in a deregulated power system
Load frequency   control  in a deregulated power systemLoad frequency   control  in a deregulated power system
Load frequency control in a deregulated power system
 
PI and LQR controllers for Frequency Regulation including Wind Generation
PI and LQR controllers for Frequency Regulation including Wind GenerationPI and LQR controllers for Frequency Regulation including Wind Generation
PI and LQR controllers for Frequency Regulation including Wind Generation
 
Fuzzy and predictive control of a photovoltaic pumping system based on three-...
Fuzzy and predictive control of a photovoltaic pumping system based on three-...Fuzzy and predictive control of a photovoltaic pumping system based on three-...
Fuzzy and predictive control of a photovoltaic pumping system based on three-...
 

More from IOSR Journals

A011140104
A011140104A011140104
A011140104
IOSR Journals
 
M0111397100
M0111397100M0111397100
M0111397100
IOSR Journals
 
L011138596
L011138596L011138596
L011138596
IOSR Journals
 
K011138084
K011138084K011138084
K011138084
IOSR Journals
 
J011137479
J011137479J011137479
J011137479
IOSR Journals
 
I011136673
I011136673I011136673
I011136673
IOSR Journals
 
G011134454
G011134454G011134454
G011134454
IOSR Journals
 
H011135565
H011135565H011135565
H011135565
IOSR Journals
 
F011134043
F011134043F011134043
F011134043
IOSR Journals
 
E011133639
E011133639E011133639
E011133639
IOSR Journals
 
D011132635
D011132635D011132635
D011132635
IOSR Journals
 
C011131925
C011131925C011131925
C011131925
IOSR Journals
 
B011130918
B011130918B011130918
B011130918
IOSR Journals
 
A011130108
A011130108A011130108
A011130108
IOSR Journals
 
I011125160
I011125160I011125160
I011125160
IOSR Journals
 
H011124050
H011124050H011124050
H011124050
IOSR Journals
 
G011123539
G011123539G011123539
G011123539
IOSR Journals
 
F011123134
F011123134F011123134
F011123134
IOSR Journals
 
E011122530
E011122530E011122530
E011122530
IOSR Journals
 
D011121524
D011121524D011121524
D011121524
IOSR Journals
 

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 

Recently uploaded (20)

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 

C1102011317

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 2 Ver. I (Mar. – Apr. 2016), PP 13-17 www.iosrjournals.org DOI: 10.9790/1676-1102011317 www.iosrjournals.org 13 | Page Automatic Load Frequency Control of Two Area Power System Using Proportional Integral Derivative Tuning Through Internal Model Control Aibangbee J. O (D Department of Electrical and Computer Engineering, BELLs University of Technology, Ota, Ogun State- Nigeria. Abstract: The main purpose of operating Load Frequency Control (LFC) is to keep uniformly the frequency changes during the load changes. In this paper, Automatic Load Frequency control of two area power systems using Proportional Integral Derivative (PID) tuning through internal model control (IMC) technique. Two main objectives of LFC are to maintain the real frequency and the desired power output in the interconnected power system and, to control the change in tie line power between control areas. The PID-IMC controller have the ability to provide high adaption for changing conditions and the ability for making quick decisions. The controller are used to improve the dynamic response as well as to reduce or eliminate the steady-state error. It is much faster, applicable under different nonlinearities and give better stability response as compared to the conventional integral Load Frequency controllers for a two area power system. Keywords: Proportional Integral Derivative, Load Frequency Control, internal model control, Tie-line, Twoarea power systemso I. Introduction The main purpose of operating the load frequency control is to keep uniformly the frequency changes during the load changes. During the power system operation rotor angle, frequency and active power are the main parameters to change [1]. The interconnection of more than one control areas through tie lines is call power systems. Generating plants in a control area always vary their speed together for maintenance of frequency and the relative power angles to the predefined values in both static and dynamic conditions. When there is any sudden load change occurs in a control area of an interconnected power system there will be frequency deviation as well as tie line power deviation. Two main objective of Load Frequency Control (LFC) are, to maintain the real frequency and the desired power output in the interconnected power system and, to control the change in tie line power between control areas [2]. When there is a small change in load power in a single area power system operating at set value of frequency it creates mismatch in power both for generation and demand. Nowadays there are more complex power systems which required operation in less structured and uncertain environment. Similarly innovative and improved control is required for economic, secure and stable operation. The conventional Proportional Integral (PI) controller [3,4] has the following drawback a) Inherent nonlinearity of different power system components; b) There is continuous load changes occurrence during daily cycle, this changes the operating point accordingly and c) very slow in operation [5]. In this paper, a proposed advance control techniques having the ability to provide high adaption for changing conditions and the ability for making quick decisions is the Proportional Integral Derivative (PID) controller. The PID controller is used to improve the dynamic response as well as to reduce or eliminate the steady-state error [6] Two Area Power Systems A two area system consists of two single area systems, connected through a power line called tie-line. Figure 1 shows a two area power system where each area supplies to its own area and the power flow between the areas are allowed by the tie line. For two area power system, the individual areas are strong, the tie line which connects the two area is weak and a single frequency is characterized throughout. A block diagram model of two area power system with integral controller is shown in Figure 2. The block diagram model contained two control inputs named u1 and u2. The block diagram representing a two area power system model is having two control areas connected to each other through a line having its own dynamics (block 7) called tie line. From the figure it is clearly seen that the control areas are made-up with three block each with an integral controller block. The three blocks are namely governor block, turbine block, and the power system block which is actually the load block.
  • 2. Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative.. DOI: 10.9790/1676-1102011317 www.iosrjournals.org 14 | Page Figure1: Two area interconnected power system Model of a Two Area Thermal Non-Reheat Power System Both areas consist of four blocks each and another one block represents the tie line power. Therefore total 9 blocks are present for the whole system [7,8]. The control input equations can be written as below: For area 1 (at block 8) = ( ) ( ) (1) For area 2 (at block 9) = ( ) ( ) (2) Where ACE1 and ACE2 are the Area Control Errors of area-1 and area-2 respectively. KT is the integral gain for both the areas. Figure 2: Two area thermal (non-reheat) power system with integral controller II. Materials And Methods Tuning of PID controllers proposed for LFC via Internal model control (IMC) considering the simplicity of their execution [8,9,10,11] in load frequency controller PID tuning method for two area power system. A. Design of Internal model control (IMC) An internal model control (IMC) method is adapted for load frequency controller design. In Process control IMC is a very popular controller [7]. Figure 3 show the IMC structure where the plant to be controlled is ‗P‘, and the plant model is ‗Ṗ‘. Figure 3: IMC structure IMC design procedure is given in equation 3 as Ṗ (s) = PM (s) PA (s) (3)
  • 3. Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative.. DOI: 10.9790/1676-1102011317 www.iosrjournals.org 15 | Page Where PM (s) invertible minimum phase in part, and PA (s) is the no minimum phase part with unity magnitude. Design an IMC controller Q(s) = PM -1 (s) (4) Where 𝜆 = the tuning parameter, = the desired set point response and r = the degree of PM (s). It is shown that the IMC controller gives very good tracking performance but not satisfying the disturbance rejection performance some times. So a secondary controller Qd is included to optimize the disturbance rejection performance. The designed disturbance rejecting IMC controller is given as = (5) Where 𝜆d is the disturbance rejection tuning parameter, 'm‘ is the number of poles Ṕ(s). The feedback controller K is equals to K = (6) Here K is considered as the PID controller. Direct implementation of IMC controller needs higher order transfer function knowledge if the model Ṗ is of higher order, as discussed in LFC of power system. So the IMC structure is transformed to a PID control structure. Figure 4: IMC equivalent conventional feedback configuration The standard technique of tuning the PID parameters from IMC controllers is to expand the controller block K shown in Figure 4 in to Maclaurin series. The first three terms coefficients of the Maclaurin series are the parameters of the PID controller. B. Load Frequency Control PID Design The tuning of PID controller is to improve the performance of the load frequency control of power system as represented by the single area model shown in figure 5. Figure 5: Linear model of a single area power system So the control law u K(s) f, Where K(s) = (7) Practically PID controller is implemented to reduce the noise effect. So K(s) can be written as K(s) = where N is called the filter constant.
  • 4. Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative.. DOI: 10.9790/1676-1102011317 www.iosrjournals.org 16 | Page III. Analysis And Results The performance of IMC-PID controller are shown in figures 6 to 8. The responses shown are in form of dynamic responses of each area frequencies and the power of tie line, for the two area power system model. Results of IMC-PID Controller for LFC of Two Area Power System Figures 6, 7, and 8 are showing the dynamic responses of deviation in frequency for both the areas ( f1, f2 ) and the power deviation in tie line ( tie( ) for a power system having two control areas with thermal non-reheat turbines. The figures show the performances of a PID controller for LFC of power system, tuned via IMC. Figures shows that the responses are stable with very less overshoot and less settling time. So PID - IMC controller is a powerful controller which gives better stability for LFC of a two area power system. Figure 6: change in frequency V/S time in area-1 for 0.01 step load change in area-1 Figure 7: change in frequency V/S time in area-2 for 0.01 step load change in area-1 The figures show that the IMC-PID controller gives better response than the conventional integral controller for LFC of power system. Figure 8: change in tie line power V/S time for 0.01 step load change in area-1 IV. Conclusions Model of a two area interconnected power system has been developed with different area characteristics for optimal and conventional control strategies. The control equations have successfully been derived in continuous time for a two area power system. The model developed has been examined for the stability before and after the application of state feedback control. An IMC-PID controller is designed for LFC of the proposed power system via Internal Model Control (IMC) and its results are compared with conventional integral Load Frequency Controller for a two area power system. So PID controller is designed on the basis of IMC controller and applied for LFC of a two area power system and well stabilized responses are obtained. References [1] S. Sivanagaraju, G. Sreenivasan. Power System Operation and Control, 2008. [2] Jawat, T. and Fadel, A, B. ―Adaptive Fuzzy Gain Scheduling for load frequency control‖ IEEE Trans. On PAS, vol,14, No1 February1999.
  • 5. Automatic Load Frequency Control Of Two Area Power System Using Proportional Integral Derivative.. DOI: 10.9790/1676-1102011317 www.iosrjournals.org 17 | Page [3] N. Cohn, ‗Some aspects of tie-line bias control on interconnected power systems,‘ Amer. Inst. Elect. Eng. Trans., Vol. 75, pp. 1415- 1436, Feb. 1957. [4] B. Oni, H. Graham, and L. Walker, ‗nonlinear tie-line bias control of Interconnected power systems,‘ IEEE Trans. Power App.Syst., vol. PAS-100 no. 5 pp. 2350–2356. [5] E. C. Tacker, T. W. Reddoch, O. T. Pan, and T. D. Linton, ‗Automatic generation Control of electric energy systems—A simulation study,‘ IEEE Trans. Syst. Man Cybern., vol. SMC-3, no. 4, pp. 403–5, Jul. 1973. [6] A. Khodabakhshian and M. Edrisi, ―A new robust PID load frequency controller,‖ Control Eng. Pract., vol. 16, no. 9, pp. 1069– 1080, 2008. [7] M. Morari and E. Zafiriou, Robust Process Control. Englewood Cliffs, NJ: Prentice- Hall, 1989. [8] Niranjan et al. ―load frequency control of power system,‖ 2013. [9] J. Talaq and F. Al-Basri, ―Adaptive fuzzy gain scheduling for load frequency control,‖ IEEE Trans. Power Syst., vol. 14, no. 1, pp. 145–150, Feb. 1999. [10] M. F. Hossain, T. Takahashi, M. G. Rabbani, M. R. I. Sheikh, and M. Anower, ―Fuzzy proportional integral controller for an AGC in a single area power system,‖ in Proc. 4th Int. Conf. Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 120– 123, Dec. 2006. [11] Y. H. Moon, H. S. Ryu, J. G. Lee, and S. Kim, ―Power system load frequency control using noise-tolerable PID feedback,‖ in Proc. IEEE Int. Symp. Industrial Electronics (ISIE), vol. 3, pp. 1714–1718, Jun. 2001. [12] A. Khodabakhshian and N. Golbon, ―Unified PID design for load frequency control,‖ in Proc. 2004 IEEE Int. Conf. Control Applications (CCA), Taipei, Taiwan, pp. 1627–1632,Sep. 2004.