Power Quality Compensation in Distribution System based on Instantaneous Power Theory and Recursive Fuzzy Proportional-Integral Controller

International Journal of Electrical and Computer Engineering (IJECE)
Vol. 8, No. 1, February 2018, pp. 538~543
ISSN: 2088-8708, DOI: 10.11591/ijece.v8i1.pp538-543  538
Journal homepage: http://iaescore.com/journals/index.php/IJECE
Power Quality Compensation in Distribution System based on
Instantaneous Power Theory and Recursive Fuzzy
Proportional-Integral Controller
Mehrdad Ahmadi Kamarposhti
Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran
Article Info ABSTRACT
Article history:
Received Aug 19, 2017
Revised Nov 15, 2017
Accepted Nov 30, 2017
In this paper, the power quality compensation problems such as current
harmonics and system load's reactive power are considered. In this context,
we use static distribution synchronous compensator to inject compensation
current into the system, which its reference current signals have been derived
from the instantaneous power theory. To improve the current control
operation and fast tracking of reference signals, a PI recursive controller has
been used which is able to reduce to zero tracking error compared to its
conventional type. The performance of the controller is delayed for a period;
to overcome this problem, the phase rules have been used to adjust the
controller parameters to increase the control performance speed. Finally, in
simulation we used Matlab / Simulink software, which has been proven to be
better than conventional PI controller-based compensation for power quality.
Keyword:
Phase rules
PI recursive controller
Power quality compensation
First instantaneous
power theory Copyright © 2018 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Mehrdad Ahmadi Kamarposhti,
Departement of Electrical Engineering,
Islamic Azad University,
Jouybar, Iran.
Email: mehrdad.ahmadi.k@gmail.com
1. INTRODUCTION
With the development of electric power industry and the rise of non-linear loads, there have been
problems such as current harmonics in power distribution systems, which led to the problems such as
transformer heating and saturation, influence on the network voltage, and sensitive loads, etc. Thus, in recent
years in order to solve these problems, some research has been done to improve the power quality of the
distribution system. The instantaneous power theory [1] is one of the most common theories used to improve
the quality of power distribution system, which has been considered in this paper. In this theory, the
instantaneous powers of current harmonics and reactive powers are derived, and are compensated by active
filters [2] or other compensation distribution systems including D-STATCOM [3]. Three-phase converters of
switching signals are produced by using the reference signal compensation and through current controllers
such as proportional integral controller (PI) and conventional hysteresis. Several ideas have been proposed in
the literature in order to improve the performance of the current controller. For example, in reference [4]
frequency division control method is used to create a resonance in current harmonic frequency to enhance the
efficiency of control, and also to compensate the system delay.
In reference [5], we used the adaptive hysteresis band to control the reference current. Since the rate
of current reference has been changed, therefore switching frequency is varied by an ordinary hysteresis,
causing the difficulties in filtering, noise and electromagnetic interactions. In adaptive hysteresis switching
technique, the bandwidth changes according to the rate of change in the reference current, which causes the
switching frequency to be fixed.

Int J Elec & Comp Eng ISSN: 2088-8708 
Power Quality Compensation in Distribution System based on …. (Mehrdad Ahmadi Kamarposhti)
539
In this paper, a PI recursive controller has been used to control the current, and the controller
parameters are dynamically changed based on the phase rules, to improve the performance of the
compensator in tracing the current references. In the following we discuss the principles of the compensation
of power quality by using this plan. Then the basis of the PI recursive controller and performance of the
phase rules will be considered. Finally, the efficiency of the system will be shown using Matlab / Simulink
simulation software.
2. THE STRUCTURE OF THE PROPOSED SYSTEM
The structure of the proposed system and its connection circuit are shown in Figure 1. Three-phase
currents for compensating the positive and negative components of current harmonic frequency source and
reactive power are extracted by using the instant power theory. In this project a two level tripods voltage
source inverter (VSI), is considered as the D-STATCOM. The voltage source inverter is formed by input
keys isolated bipolar transistor which operates by a PWM switching project. PWM signals are created by
phase PI controller recursive input and also measured by reference to current D-STATCOM. The capacitor
which is located near the DC inverter three-phase converters is charged by the true power of the network.
Figure 1. the structure of proposed compensator for distribution system power quality or recursive PI control
3. COMPENSATOR CONTROL
3.1. The Instantaneous Power Theory
Several control schemes have been cited in articles to extract the current harmonics and reactive
loads, including the instantaneous reactive power theory (IRP), the power balance theory, the theory of
synchronous reference frame, a theory based on symmetrical components, and so on. In this paper, we have
used the method of IRP [6] for this purpose. This theory is based on a conversion of three-phase components
to two-phase components in αβ0 frame, and calculation of real and reactive powers in the same frame.
Current harmonics and reactive loads are measured by applying the voltages at PCC, which
calculate the load currents and DC bus voltage three-phase inverter. Block diagram of the instantaneous
power control method is shown in Figure 2. In Figure 2 it can be seen that the real currents of loads can be
calculated after converting the three-phase to two-phase voltage and current. Then in the block of, “Selection
of powers to be compensated” the real power fluctuations caused by harmonic components and component
current which are negative, isolated from the DC component in order to be injected to the network by the
compensator. Total reactive power loads (oscillatory component and dc) should also be produced by the
compensator. Finally, harmonic compensation reference current and reactive power are obtained by inverse
transform of the system from two-phase to three-phase.

 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 1, February 2018 : 538 – 543
540
Figure 2. The diagram of instantaneous power theory
It should be noted that in the block of, “Selection of power to be compensated” the required real
power to charge of dc capacitor should be considered to absorb the energy from ac network. This can be seen
in Figure 1 as Ploss.
3.2. Feedback Fuzzy PI Controller
The quality of the current control ring has a significant impact on compensator performance. The
conventional PI current controller is able to endure the tracking error of the reference signal, and make it
zero, which a DC signal or a variable signal is slow with the changes. But when the reference signal is a
sinusoidal alternating variable with rapid changes, the conventional PI controller recursive has some
limitations. So in this paper, a PI algorithm has been used to adjust the point to point. PI controller recursive
is equivalent to n which work together in parallel and are capable of enduring error sinusoidal signal control
and completely make it zero.
The recursive algorithm can be expressed as follows:
( ) ( ) ∑ ( ) (1)
( ) and ( ) are the output value of the PI controller and the sampling error of a sample, K, and
N the number of samples in one cycle of and , and the coefficients are proportional and integral. This
algorithm, at the same time in each cycle of the tracking error takes integral. In order of digital impellent of
this algorithm, we can express the output control ( ) in this form:
( ) ( ) , ( ) ( )- ( ) (2)
( ) is K sample of pervious cycle. According to Equation (2), it can be observed that PI
algorithm, has the previous cycle data in its memory, which guarantee the signal tracking error by zero.
However, the dynamic performance is always slow and is responded by one cycle delay. Therefore, to
improve the dynamic performance and resistant of the system, a control algorithm must be made. In this
paper, we used a phase rule to dynamically adjust the control parameters [7]. Suppose that the phase set of
U2, U1, EC, E for ∆KP , ∆KI , Ec are * +sets. Rule ∆KP is for that the controller has a quick
controlling function to speed up and reduce the tracking error. The integral controller of ∆KP is used to
eliminate the tracking error and improve the behavior. Based on the above analysis, rule controls of ∆KI and
∆KP can be obtained in Table 1 and Table 2.
Phase logic steps are as follows:
a. Fuzzification
, ( )- , ( )- (3)
b. Fuzzy decision making
c. Defuzzification

541
{
( ) ( )
( ) ( )
(4)
That X reflects the correct value of x, λ1 and λ2 are fuzzy coefficients and λ3 and λ4 are Non-fuzzy
coefficients. The values of these parameters λ1, λ2, λ3 and λ4 can be selected based on the actual state.
Table 1. Parameter setting rules of ∆KP
PBPS0NSNB
EC
E
0PSPSPBPBNB
NS00PSPBNS
NSNS0PSPS0
NBNSNS0PSPS
NBNBNSNS0PB
Table 2. Parameter setting rules of ∆KI
PBPS0NSNB
EC
E
0NSNB00NB
00NSNS0NS
0NSPSNS00
0PBPS00PS
00PBPS0PB
Actual and reference flow-D-STATCOM can be compared with each other, and phase error signal
by a proportional-integral controller rebound fuzzy strengthen, and passed the block pulse width modulation
(PWM) switching signals to produced D-STATCOM inverter.
4. SIMULATION RESULTS AND ANALYSIS
For the efficiency of the system we used Matlab / Simulink software for the simulation. The
performance of the proposed scheme has been studied to compensate reactive power and current harmonics
rather than the ordinary control.
4.1. First Scenario: The System Performance in Harmonic and Reactive Power Compensation
In this scenario, the distribution systems with reactive and harmonic loads have been simulated at
0.5 seconds. The proposed compensator is switched to the circuit at 0.15 second and performs the
compensation function. Figure 3 shows the output results of this scenario. In the figure, the system’s three-
phase voltages, load currents, reference currents, injection currents of compensator, and DC shane bus
voltage compensation, respectively have been shown.
Figure 3. Simulation output in the first scenario

 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 1, February 2018 : 538 – 543
542
With compensation function, harmonic distortion factor of the three-phase currents has been
decreased from the values of 22.07, 22.12 and 22.11 to 3.26, 4.37, 4.22 respectively, which is compatible to
IEEE-519 standard which its permissive THD of current is 5%. It also can be seen that the DC bus voltage
has been established with reference values. Reference currents waveform and its voltage have approximately
the same phase and absorption reactive power is compensated by the source too.
4.2. Second Scenario: Comparison of Conventional PI Controller and Phase PI Return.
The second scenario is considered to compare the performance of two controllers to c static
synchronous compensator. So this compensation is simulated once with the conventional PI controller and
with a fuzzy PI controller in return. The tracking error of reference currents signals for two controllers is
shown in Figure 4.
As can be seen, PI controller is able to reduce the steady tracking error signal to zero. But as
mentioned earlier, this controller acts as a delay period, to solve this problem fuzzy rules have been
employed for adjusting the proportional and integral parameters. Figure 5 shows the dynamic changes in the
parameters Kp and Ki compensation circuit switching. It is observed that the K value increases the speed
control to increase output and reduce tracking error, the Ki value is reduced immediately to decrease its
impact, and lead not to a tuck there. Ki value increases gradually to improve its effectiveness and reduce the
steady state error. The values of these two parameters will be established at a level of stability.
Figure 4. Three-phase reference currents detection
error or two types of controllers (the second
scenario)
Figure 5. The variations of recursive PI control
parameters based on phase rules at the moment of
switching of compensator to the circuit
5. CONCLUSION
In this paper was studied the compensated three-phase power quality, distribution systems by using
static synchronous compensator distribution. To extract the reference signal compensation, three-phase
power instantaneous were used, and finally to improve flow control and access the fast-tracking software and
reference signals, a controller proportional - integral recursive algorithm based on the fuzzy has been used.
For the efficiency of the system we used Matlab Simulink software for simulation.
REFERENCES
[1] H. Akagi, Y. Kanazawa, K. Fujita, and A. Nabae, "Generalized theory of instantaneous reactive power and its
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Systems, pp. 1-6, 2012.
[3] D. Sreenivasarao, P. Agarwal, and B. Das, "A T-connected transformer based hybrid D-STATCOM for three-
phase, four-wire systems," International Journal of Electrical Power & Energy Systems, vol. 44, no. 1,
pp. 964-970, 2013.

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Power Quality Compensation in Distribution System based on Instantaneous Power Theory and Recursive Fuzzy Proportional-Integral Controller

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