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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 7 Issue 1, January-February 2023 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 610
Improvement of Power Quality by using
Advanced Reactive Power Compensation
Mohammad Zishan Alam, Mohd Shahid
Department of Electrical and Electronics Engineering, Al-Falah University, Haryana, India
ABSTRACT
The maximum power point tracking controller is an essential part of
the photovoltaic system and uses its algorithms to obtain the
maximum available power of the PV array under various
environmental conditions. This paper provides a brief overview of
the main MPPT techniques. A particle swarm optimization (PSO)
algorithm was used to automatically find the parameters and improve
the performance of the controller. The system was simulated and
tested in the MATLAB/Simulink environment, the PSO algorithm
was run in the m-file and the system was simulated hundreds of times
to achieve the best results presented in this paper. This article
introduced the most common techniques for PV systems to monitor
MPP. Proper implementation and design of MPPT technology can
greatly improve the efficiency of the energy conversion process and
prevent energy losses due to environmental changes. This white
paper serves as a practical guide not only for MPPT researchers, but
also for designers of commercial PV systems.
KEYWORDS: Photovoltaic System (PV), MPPT, PSO, DC-DC
Converters, Micro-Grid (MG)
How to cite this paper: Mohammad
Zishan Alam | Mohd Shahid
"Improvement of Power Quality by
using Advanced Reactive Power
Compensation" Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN:
2456-6470,
Volume-7 | Issue-1,
February 2023,
pp.610-617, URL:
www.ijtsrd.com/papers/ijtsrd52737.pdf
Copyright © 2023 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
INTRODUCTION
Many metal industries use electric arc furnaces (EAF)
to produce steel. It is important to study the impact on
power quality [1]-[3]. Generally, there are three
periods in the EAF operating process: drilling,
smelting, and refining. After preheating with the
torch, lower the electrode and turn it on [4]. During
the drilling and melting period, the arc current
changes dramatically as the scrap continuously melts
and irregularly collapses between the graphite
electrodes. As a result, the EAF states randomly
change between short circuit, open circuit and non-
linear arc models [5]. The main obstacles in EAF are
voltage flicker, load unbalance and harmonics [1]-[6].
Excessive levels of power unbalance and negative
sequence currents are caused by arc re-ignition faults
[7]. Unbalanced loads can cause unwanted reverse
currents in 3-phase, 3-wire systems. This negative
series current causes additional losses from
generators, transmission lines and transformers. There
are many techniques for tuning static var
compensators (SVCs) in three-phase systems, which
are presented in [8,9]. The susceptance of each phase
of the SVC can be obtained from the rms values of
the voltage and current of the three-phase load. The
SVC compensation algorithm can balance the three-
phase loads and improve the power factor to unify the
fundamental component [8, 10].
IJTSRD52737
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 611
Fig-1 Block diagram of proposed solar system
Grid connected Solar PV array with STATCOM and MPPT:
A system of photovoltaic modules can be created by parallel and series integration of different photovoltaic
modules. Series connection of photovoltaic panels increases the terminal voltage of the photovoltaic panel array
and parallel connection of the photovoltaic panel arrays increases the nominal current of the photovoltaic panel
array. The rated power of one module is 213.15 W, the maximum point voltage of the PV module is 29 V, the
no-load voltage of the PV module is 36.3 V, and the short-circuit current of the PV module is 7. 84A, the
maximum power of the cutter is 7.35A. The PV modules connected in series are 10, the PV modules connected
in parallel are 47. The total power of the PV array is 100.345 kW, the PV modules open circuit voltage is 363 V,
the PV short circuit current is 368 V.
PSO algorithm:
Fig-2 Flow chart for proposed PSO method
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 612
The PSO algorithm is considered one of the best optimization techniques and is superior to other optimization
techniques in terms of ease of implementation, robustness, and ability to converge globally. For these reasons,
the PSO algorithm was chosen for this paper. In this way, we can check the convergence of the algorithm and
find the optimal value of the objective function [18-19]. The principle of the PSO algorithm depends on its two
factors: speed and position. Members represent these updated factors using formulas (1) (2).Figure 2 shows the
flowchart of the proposed optimization procedure.
(t+1)=w (t)+ + (1)
(2)
Where, 1 is social rate and 2 is cognitive rate. 1 and 2 is the random interval (0,1). is the velocity w is the
inertia factor. is the Position factor.
Fig-3 V_I Charecteristics of solar array
Fig-4 P_V Charecteristics of solar array
Shunt Compensation:
In shunt compensation, the power system is connected in parallel (parallel) to the FACTS. This acts as
controllable current source shunt balancing as shown in figure (5). There are two types of shunt compensation.
The shunt capacitance is used to improve the power factor. If the load connected to the line is lagging, shunt
capacitance compensation is most often used, since commonly used loads are inductive in nature. Shunt
inductance compensation is used in long transmission lines where the Ferranti effect occurs because the voltage
capacitance at the receiving end of the transmission line increases. As the inductance is shifted, the transfer
capacitance increases. It is obvious that the required power can be supplied by controlling the angle of the
thyristor connected to the power line according to the required power and thus alternating current can be
supplied to the transmission line. You can control the current injected into series compensation and control the
voltage injected into parallel compensation STATCOM and D-STATCOM FACTS technology is an application
of power electronics in transmission line systems. The main purpose of this technologyis to control and regulate
electrical variables such as (current, voltage, impedance) to effectively compensate voltage drops in power
systems. Rapid advances in power electronics technology are increasingly expanding the use of power
electronics devices at various voltage levels in electrical power systems. STATCOM is one such device that
could potentially be used in case of its transmission level FACTS and distribution level power limit controller as
well as in end user electrical installations. Potential related applications include voltage regulation, power factor
correction, load sharing, and harmonic reduction. DSTATCOM is a voltage converter (VSC) based power
electronics device. This device is normally backed up by energy temporarily stored in a DC capacitor. The
DSTATCOM filters the load current to meet the grid connection specifications.
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 613
Fig 5-Shunt compensation
Fig-6 STATCOM used for power injecting in three phase transmission line
The voltage to inject in the transmission line in each phase:
= = V Cos ( ) * = Sin( ) (3)
= = V Sin ( ) * = * (4)
These two equations describe the flow of active and reactive power in a transmission line. Both powers also
depend on line reactance and power factor. Therefore, it can be controlled by reducing the influence of the
inductance of the transmission line.
Result: To justify our aim MATLAB results have been shown in Fig-7 – 15.
Fig-7 Solar Voltage (With STATCOM and MPPT)
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 614
Fig-8 Grid Voltage (With STATCOM and MPPT)
Fig-9 Frequency of grid (With STATCOM and MPPT)
Fig-10 THD (With STATCOM and MPPT)
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 615
Fig-11 Power Factor (With STATCOM and MPPT)
Fig-12 THD(Without STATCOM and MPPT)
Fig- 13 Power Factor (Without STATCOM and MPPT)
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 616
Fig 14 Grid Voltage (Without STATCOM and MPPT)
Fig -15 Solar array voltage (Without STATCOM and MPPT)
Conclusion:
The system was simulated and tested in the
MATLAB/Simulink environment, and the PSO
optimization integrated in the M-file was called from
Simulink to find the minimum network performance
value. The PSO algorithm has shown an excellent
way to find the best trades for Ig and Vg, but it seems
impossible for humans to achieve optimal values. The
simulation results for both voltage and current output
curves are stable with reasonable THD for both
controllers, but one still outperforms the other.
Interrupting and monitoring drivers is very easy and
fast. A disadvantage of the P&O algorithm is that the
system's steady operating point oscillates around its
MPP, wasting available energy. The choice of the
perturbation step size is very important. The step size
determines how quickly the MPP is reached. Faster
tracking can be achieved with a larger step size, but
the oscillation around the MPP increases. There is a
trade-off between dynamic performance and stable
performance.
Reference:
[1] Feng Dong, Badrul H. Chowdhury, Mariesa L.
Crow, S, Levent Acar, “Improving Voltage
Stability by Reactive Power Reserve
Management”, IEEE TRANSACTIONS ON
POWER SYSTEMS, VOL. 20, FEBRUARY
2005.
[2] Mark Gordon, “Impact of Load Behavior on
Transient Stability and Power Transfer
Limitations”, IEEE Power Engineering Society
General Meeting, 2009.
[3] Naveen Goel, R.N. Patel, Saji T. Chacko,
“Genetically Tuned STATCOM for Voltage
Control and Reactive Power Compensation”,
International Journal of Computer Theory and
Engineering, Vol. 2, June, 2010.
[4] Heinz K. Tyll, SM, Dr. Frank Schettler,
“Historical overview on dynamic reactive
power compensation solutions from the begin
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 617
of AC power transmission towards present
applications”, IEEE, 02 March 2010.
[5] Ripunjoy Phukan “Reactive Power
Management using Firefly and Spiral
Optimization under Static and Dynamic
Loading Conditions”, Journal of Electrical &
Electronic Systems, vol.2, 2013
[6] G.Ganesh, Ch.Sampath Kumar,
D.KumaraSwamy, “Voltage Sag and Swell
Compensation using UPQC-S Technique”
International Journal of Engineering Inventions,
Volume 3, September 2013, PP: 53-59.
[7] Santosh Kumar Morya, Himmat Singh,
“Reactive Power Optimization Using
Differential Evolution Algorithm”,
International Journal of Engineering Trends and
Technology, Volume 4, Sep 2013.
[8] H.S. Su, P. J. Zhang, “Research of Distribution
Network Reactive Power Optimization Based
on Improved Cloud Particle Swarm
Optimization BP Neural Network”,
International Journal of Computer and
Electrical Engineering, Vol.5, April 2013.
[9] Steffen Schostan, Klaus-D. Dettmann, Detlef
Schulz and Juriy Plotkin: “Investigation of an
Atypical Sixth Harmonic Current Level of a 5
MW Wind Turbine Configuration ”
EUROCON 2007 The International Conference
on “Computer as a Tool” Warsaw, September
9-12
[10] Luis A. Morán, Juan W. Dixon, José R.
Espinoza Rogel R. Wallace “USING ACTIVE
POWER FILTERS TO IMPROVE POWER
QUALITY” Departamento de Ing. Eléctrica
Universidad de Concepción Concepción –
CHILE
[11] J. Boll, F.W. Fuchs “Direct Control Methods
for Matrix Converter and Induction Machine ”
Institute for Power Electronics and Electrical
Drives Christian-Albrechts-University of Kiel,
Germany
[12] Bindeshwar Singh, Indresh Yadav, Dilip
Kumar “Mitigation of Power Quality Problems
Using FACTS Controllers in an Integrated
Power System Environment: A Comprehensive
Survey” International Journal of Computer
Science and Artificial Intelligence (IJCSAI).
[13] C. J. Wu and Y. W. Liu, “Reactive power
compensation for unbalanced fluctuating loads
by using two-dimensional space vector and a
static var compensator,” Applied Mechanics
and Materials, vol. 533, pp. 397-400, 2014.
[14] T. L. Baldwin, T. J. Hogans, S. D. Henry, F. J.
Renovich, P. T. Latkovic, “Reactive-power
compensation for voltage control at resistance
welders,” IEEE Trans. Industry Application,
vol. 41, no. 6, pp. 1485-1492, 2005.
[15] K. M. Son, K. S. Moon, S. K. Lee, and J. K.
Park, “Coordination of an SVC with a ULTC
reserving compensation margin for emergency
control,” IEEE Trans. Power Delivery, vol. 15,
no. 4, pp. 1193-1198, 2000.
[16] S. Y. Lee and C. J. Wu, “Reactive power
compensation and load balancing for
unbalanced three-phase four-wire system by a
combined system of an SVC and a series active
filter,” IEE Proceeding of Electric Power
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[17] Y. W. Liu, S. H. Ran, C. J. Wu, and W. J. Lee,
“Improvement of power quality by using
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[18] X. Tang, C. Yang, and J. Zhou, “Stock price
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103–109

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Improvement of Power Quality by using Advanced Reactive Power Compensation

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 7 Issue 1, January-February 2023 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 610 Improvement of Power Quality by using Advanced Reactive Power Compensation Mohammad Zishan Alam, Mohd Shahid Department of Electrical and Electronics Engineering, Al-Falah University, Haryana, India ABSTRACT The maximum power point tracking controller is an essential part of the photovoltaic system and uses its algorithms to obtain the maximum available power of the PV array under various environmental conditions. This paper provides a brief overview of the main MPPT techniques. A particle swarm optimization (PSO) algorithm was used to automatically find the parameters and improve the performance of the controller. The system was simulated and tested in the MATLAB/Simulink environment, the PSO algorithm was run in the m-file and the system was simulated hundreds of times to achieve the best results presented in this paper. This article introduced the most common techniques for PV systems to monitor MPP. Proper implementation and design of MPPT technology can greatly improve the efficiency of the energy conversion process and prevent energy losses due to environmental changes. This white paper serves as a practical guide not only for MPPT researchers, but also for designers of commercial PV systems. KEYWORDS: Photovoltaic System (PV), MPPT, PSO, DC-DC Converters, Micro-Grid (MG) How to cite this paper: Mohammad Zishan Alam | Mohd Shahid "Improvement of Power Quality by using Advanced Reactive Power Compensation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1, February 2023, pp.610-617, URL: www.ijtsrd.com/papers/ijtsrd52737.pdf Copyright © 2023 by author (s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0) INTRODUCTION Many metal industries use electric arc furnaces (EAF) to produce steel. It is important to study the impact on power quality [1]-[3]. Generally, there are three periods in the EAF operating process: drilling, smelting, and refining. After preheating with the torch, lower the electrode and turn it on [4]. During the drilling and melting period, the arc current changes dramatically as the scrap continuously melts and irregularly collapses between the graphite electrodes. As a result, the EAF states randomly change between short circuit, open circuit and non- linear arc models [5]. The main obstacles in EAF are voltage flicker, load unbalance and harmonics [1]-[6]. Excessive levels of power unbalance and negative sequence currents are caused by arc re-ignition faults [7]. Unbalanced loads can cause unwanted reverse currents in 3-phase, 3-wire systems. This negative series current causes additional losses from generators, transmission lines and transformers. There are many techniques for tuning static var compensators (SVCs) in three-phase systems, which are presented in [8,9]. The susceptance of each phase of the SVC can be obtained from the rms values of the voltage and current of the three-phase load. The SVC compensation algorithm can balance the three- phase loads and improve the power factor to unify the fundamental component [8, 10]. IJTSRD52737
  • 2. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 611 Fig-1 Block diagram of proposed solar system Grid connected Solar PV array with STATCOM and MPPT: A system of photovoltaic modules can be created by parallel and series integration of different photovoltaic modules. Series connection of photovoltaic panels increases the terminal voltage of the photovoltaic panel array and parallel connection of the photovoltaic panel arrays increases the nominal current of the photovoltaic panel array. The rated power of one module is 213.15 W, the maximum point voltage of the PV module is 29 V, the no-load voltage of the PV module is 36.3 V, and the short-circuit current of the PV module is 7. 84A, the maximum power of the cutter is 7.35A. The PV modules connected in series are 10, the PV modules connected in parallel are 47. The total power of the PV array is 100.345 kW, the PV modules open circuit voltage is 363 V, the PV short circuit current is 368 V. PSO algorithm: Fig-2 Flow chart for proposed PSO method
  • 3. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 612 The PSO algorithm is considered one of the best optimization techniques and is superior to other optimization techniques in terms of ease of implementation, robustness, and ability to converge globally. For these reasons, the PSO algorithm was chosen for this paper. In this way, we can check the convergence of the algorithm and find the optimal value of the objective function [18-19]. The principle of the PSO algorithm depends on its two factors: speed and position. Members represent these updated factors using formulas (1) (2).Figure 2 shows the flowchart of the proposed optimization procedure. (t+1)=w (t)+ + (1) (2) Where, 1 is social rate and 2 is cognitive rate. 1 and 2 is the random interval (0,1). is the velocity w is the inertia factor. is the Position factor. Fig-3 V_I Charecteristics of solar array Fig-4 P_V Charecteristics of solar array Shunt Compensation: In shunt compensation, the power system is connected in parallel (parallel) to the FACTS. This acts as controllable current source shunt balancing as shown in figure (5). There are two types of shunt compensation. The shunt capacitance is used to improve the power factor. If the load connected to the line is lagging, shunt capacitance compensation is most often used, since commonly used loads are inductive in nature. Shunt inductance compensation is used in long transmission lines where the Ferranti effect occurs because the voltage capacitance at the receiving end of the transmission line increases. As the inductance is shifted, the transfer capacitance increases. It is obvious that the required power can be supplied by controlling the angle of the thyristor connected to the power line according to the required power and thus alternating current can be supplied to the transmission line. You can control the current injected into series compensation and control the voltage injected into parallel compensation STATCOM and D-STATCOM FACTS technology is an application of power electronics in transmission line systems. The main purpose of this technologyis to control and regulate electrical variables such as (current, voltage, impedance) to effectively compensate voltage drops in power systems. Rapid advances in power electronics technology are increasingly expanding the use of power electronics devices at various voltage levels in electrical power systems. STATCOM is one such device that could potentially be used in case of its transmission level FACTS and distribution level power limit controller as well as in end user electrical installations. Potential related applications include voltage regulation, power factor correction, load sharing, and harmonic reduction. DSTATCOM is a voltage converter (VSC) based power electronics device. This device is normally backed up by energy temporarily stored in a DC capacitor. The DSTATCOM filters the load current to meet the grid connection specifications.
  • 4. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 613 Fig 5-Shunt compensation Fig-6 STATCOM used for power injecting in three phase transmission line The voltage to inject in the transmission line in each phase: = = V Cos ( ) * = Sin( ) (3) = = V Sin ( ) * = * (4) These two equations describe the flow of active and reactive power in a transmission line. Both powers also depend on line reactance and power factor. Therefore, it can be controlled by reducing the influence of the inductance of the transmission line. Result: To justify our aim MATLAB results have been shown in Fig-7 – 15. Fig-7 Solar Voltage (With STATCOM and MPPT)
  • 5. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 614 Fig-8 Grid Voltage (With STATCOM and MPPT) Fig-9 Frequency of grid (With STATCOM and MPPT) Fig-10 THD (With STATCOM and MPPT)
  • 6. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 615 Fig-11 Power Factor (With STATCOM and MPPT) Fig-12 THD(Without STATCOM and MPPT) Fig- 13 Power Factor (Without STATCOM and MPPT)
  • 7. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 616 Fig 14 Grid Voltage (Without STATCOM and MPPT) Fig -15 Solar array voltage (Without STATCOM and MPPT) Conclusion: The system was simulated and tested in the MATLAB/Simulink environment, and the PSO optimization integrated in the M-file was called from Simulink to find the minimum network performance value. The PSO algorithm has shown an excellent way to find the best trades for Ig and Vg, but it seems impossible for humans to achieve optimal values. The simulation results for both voltage and current output curves are stable with reasonable THD for both controllers, but one still outperforms the other. Interrupting and monitoring drivers is very easy and fast. A disadvantage of the P&O algorithm is that the system's steady operating point oscillates around its MPP, wasting available energy. The choice of the perturbation step size is very important. The step size determines how quickly the MPP is reached. Faster tracking can be achieved with a larger step size, but the oscillation around the MPP increases. There is a trade-off between dynamic performance and stable performance. Reference: [1] Feng Dong, Badrul H. Chowdhury, Mariesa L. Crow, S, Levent Acar, “Improving Voltage Stability by Reactive Power Reserve Management”, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, FEBRUARY 2005. [2] Mark Gordon, “Impact of Load Behavior on Transient Stability and Power Transfer Limitations”, IEEE Power Engineering Society General Meeting, 2009. [3] Naveen Goel, R.N. Patel, Saji T. Chacko, “Genetically Tuned STATCOM for Voltage Control and Reactive Power Compensation”, International Journal of Computer Theory and Engineering, Vol. 2, June, 2010. [4] Heinz K. Tyll, SM, Dr. Frank Schettler, “Historical overview on dynamic reactive power compensation solutions from the begin
  • 8. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD52737 | Volume – 7 | Issue – 1 | January-February 2023 Page 617 of AC power transmission towards present applications”, IEEE, 02 March 2010. [5] Ripunjoy Phukan “Reactive Power Management using Firefly and Spiral Optimization under Static and Dynamic Loading Conditions”, Journal of Electrical & Electronic Systems, vol.2, 2013 [6] G.Ganesh, Ch.Sampath Kumar, D.KumaraSwamy, “Voltage Sag and Swell Compensation using UPQC-S Technique” International Journal of Engineering Inventions, Volume 3, September 2013, PP: 53-59. [7] Santosh Kumar Morya, Himmat Singh, “Reactive Power Optimization Using Differential Evolution Algorithm”, International Journal of Engineering Trends and Technology, Volume 4, Sep 2013. [8] H.S. Su, P. J. Zhang, “Research of Distribution Network Reactive Power Optimization Based on Improved Cloud Particle Swarm Optimization BP Neural Network”, International Journal of Computer and Electrical Engineering, Vol.5, April 2013. [9] Steffen Schostan, Klaus-D. Dettmann, Detlef Schulz and Juriy Plotkin: “Investigation of an Atypical Sixth Harmonic Current Level of a 5 MW Wind Turbine Configuration ” EUROCON 2007 The International Conference on “Computer as a Tool” Warsaw, September 9-12 [10] Luis A. Morán, Juan W. Dixon, José R. Espinoza Rogel R. Wallace “USING ACTIVE POWER FILTERS TO IMPROVE POWER QUALITY” Departamento de Ing. Eléctrica Universidad de Concepción Concepción – CHILE [11] J. Boll, F.W. Fuchs “Direct Control Methods for Matrix Converter and Induction Machine ” Institute for Power Electronics and Electrical Drives Christian-Albrechts-University of Kiel, Germany [12] Bindeshwar Singh, Indresh Yadav, Dilip Kumar “Mitigation of Power Quality Problems Using FACTS Controllers in an Integrated Power System Environment: A Comprehensive Survey” International Journal of Computer Science and Artificial Intelligence (IJCSAI). [13] C. J. Wu and Y. W. Liu, “Reactive power compensation for unbalanced fluctuating loads by using two-dimensional space vector and a static var compensator,” Applied Mechanics and Materials, vol. 533, pp. 397-400, 2014. [14] T. L. Baldwin, T. J. Hogans, S. D. Henry, F. J. Renovich, P. T. Latkovic, “Reactive-power compensation for voltage control at resistance welders,” IEEE Trans. Industry Application, vol. 41, no. 6, pp. 1485-1492, 2005. [15] K. M. Son, K. S. Moon, S. K. Lee, and J. K. Park, “Coordination of an SVC with a ULTC reserving compensation margin for emergency control,” IEEE Trans. Power Delivery, vol. 15, no. 4, pp. 1193-1198, 2000. [16] S. Y. Lee and C. J. Wu, “Reactive power compensation and load balancing for unbalanced three-phase four-wire system by a combined system of an SVC and a series active filter,” IEE Proceeding of Electric Power Applications, vol. 147, no. 6, pp. 563-578, 2000. [17] Y. W. Liu, S. H. Ran, C. J. Wu, and W. J. Lee, “Improvement of power quality by using advanced reactive power compensation,” Proceeding of 2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference, Detroit, MI, USA, pp.1-6, 2016. [18] X. Tang, C. Yang, and J. Zhou, “Stock price forecasting by combining news mining and time series analysis,” Proceedings of the IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, Milan, Italy, pp. 279-282, 2009. [19] Mohamad, S. I. A., et. al. 2015. Gravitational Search Algorithm Optimization for PID Controller Tuning in Wastewater Treatment Process. Sophan Wahyudi Nawawi et al. Jurnal Teknologi (Sciences & Engineering). 73(3): 103–109. [20] Jusoh, M.I. et. al., 2015. Optimization of Electrical Energy Consumption and Level Reliability of Water Supply System. Jurnal Teknologi (Sciences & Engineering). 72(2): 103–109