Improvement of Power Quality using Fuzzy Logic Controller In Grid Connected Photovoltaic Cell Using UPQC

Rao, K.Ramalingeswara; Srikanth, K. S.

doi:10.11591/ijpeds.v5i1.6184

Cited by 17 publications

(13 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the error is less than tolerance then the load flow converges. The power losses in a distribution system are given by (5) and 6…”

Section: Radial Distribution System Load Flowmentioning

confidence: 99%

See 1 more Smart Citation

Moth Flame Optimization Method for Unified Power Quality Conditioner Allocation

Ramanaiah¹,

Reddy²

2018

IJECE

View full text Add to dashboard Cite

This paper introduces a new optimization method to determine the optimal allocation of Unified Power Quality Conditioner (UPQC) in the distribution systems. UPQC is a versatile Custom Power Device (CPD) to solve problems related to voltage and current by the series and shunt compensator in the distribution systems. The task of UPQC highlighted in this paper is the required load reactive power is provided by both the series and shunt compensators. The UPQC’s steady state compensation capability has given a solution for providing reactive power compensation in large distribution systems. The optimization method adopted is Moth Flame Optimization (MFO). The best location and series compensator voltage are determined using MFO. The voltage injected by the series compensator and reactive power injected by the shunt compensator is incorporated in the load flow method. The effectiveness of the proposed method is validated with standard distribution systems.

show abstract

“…If the error is less than tolerance then the load flow converges. The power losses in a distribution system are given by (5) and 6…”

Section: Radial Distribution System Load Flowmentioning

confidence: 99%

“…Hence, the shortages of capacitors, which cannot meet the network demands as required, are abolished. The application of UPQC for two bus systems and for sensitive loads to address the problems of power quality is practical as detailed in [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Moth Flame Optimization Method for Unified Power Quality Conditioner Allocation

Ramanaiah¹,

Reddy²

2018

IJECE

View full text Add to dashboard Cite

show abstract

“…In the SRF control algorithm, the measured current or voltage signals are passed through the low pass filter and the high pass filter to obtain reference current and voltage information used in active switches [10]. The other control algorithms used for PV-UPQC in the literature are sliding mode controller (SMC) [12], high selectivity filter (HSF) [13], fuzzy logic controller [14], the instantaneous sequence component theory (ISCT) [15], instantaneous power control [16], the unit vector template technique [17][18], the hysteresis and boundary control [19] and power angle control [20].…”

Section: Introductionmentioning

confidence: 99%

A New Controller for Photovoltaic Panel Fed Unified Power Quality Conditioner to Power Quality Improvement

Onal

2021

Mugla Journal of Science and Technology

View full text Add to dashboard Cite

In this study, a new controller based on the synchronous reference frame (SRF) in a photovoltraic (PV) panel supported three-phase unified power quality conditioner (PV-UPQC) is proposed to solve power quality problems in power systems. The serial and parallel active power filters fed with energy by PV panels are used together in the PV-UPQC system. In the proposed controller, measurement values are taken from four different points of the power system. The obtained values and DC voltage generated by PV panels are used to calculate the reference current and voltage values. PWM signals of switches used in active filters are produced using moving average filter and space vector-PWM. The algorithm used in both filters consists of two parts. The first is the mppt algorithm, in which the maximum voltage is obtained from the PV panels, and the second is the SRF-based proposed algorithm, where the reference current or voltage is obtained. Simulation and experimental studies of the proposed controller are applied. When the results obtained are examined, the proposed controller for three-phase PV-UPQC gives better results than the traditional SRF based controller in attenuation of harmonics in current and voltage.

show abstract

“…The weakness of neural network (NN) requires time for learning (training) and testing process, so that it produces longer control responses when determining output variables. Investigation on PQ of enhancements including sag and source voltage harmonics on the grid using UPQC provided by PV array connected to DC links using PI compared to FLC has been conducted [10]. The simulation showed that FLC on UPQC and PV can improve THD voltage source better than PI.…”

Section: Introductionmentioning

confidence: 99%

Load Active Power Transfer Enhancement Using UPQC-PV-BES System With Fuzzy Logic Controller

Amirullah¹,

Adiananda²,

Penangsang³

et al. 2020

IJIES

View full text Add to dashboard Cite

This paper presents enhancement of load active power transfer using Unified Power Quality Conditioner-Photovoltaic-Battery Energy Storage (UPQC-PV-BES) system. This system is connected to a three phase three wire (3P3W) system with a voltage of 380 V (line to line) and 50 hertz. The proposed model is also compared with UPQC and UPQC-PV respectively. The parameters investigated are load voltage, load current, load active power, and efficiency. BES functions to save excess energy generated by PV, distribute it to the load, avoid interruption voltage, and regulate the charging process and energy utilization. The fuzzy logic controller (FLC) is proposed and compared with proportional integral (PI) method to control DC voltage variable and input DC reference voltage, to produce a reference current source on hysteresis current controller on shunt active filter in 12 disturbance scenarios (scns). In Scenario (Scn) 1 to 5, the 3P3W system uses three combinations of UPQC with PI controller and FLC, still keeps load voltage and load current above 300 V and 8 A. Whereas in Scn 6, only the UPQC-PV-BES with FLC is able to maintain load voltage and load current higher compared to UPQC and UPQC-PV combinations as 304.1 V and 8.421 A, respectively. In Scn 1 to 5, the 3P3W system uses three combinations of UPQC with PI controller and FLC, capable of producing load active power above 3600 W. Whereas in Scn 6, only a combination of UPQC-PV-BES with PI controller and FLC is able to produce a load voltage of 3720 W and 3700 W, respectively. In Scn 1 to 6, UPQC-PV-BES results in lower efficiency compared to using UPQC and UPQC-PV. However, in Scn 6, UPQC-PV-BES with FLC is able to produce load voltage, load current, and load active power higher than UPQC-PV and UPQC. Thus, the UPQC-PV-BES model using FLC is able to compensate load voltage and load current, as well as to enhance load active power, especially for an interruption on source bus. This research is simulated using Matlab/Simulink.

show abstract

Improvement of Power Quality using Fuzzy Logic Controller In Grid Connected Photovoltaic Cell Using UPQC

Cited by 17 publications

References 5 publications

Moth Flame Optimization Method for Unified Power Quality Conditioner Allocation

Moth Flame Optimization Method for Unified Power Quality Conditioner Allocation

A New Controller for Photovoltaic Panel Fed Unified Power Quality Conditioner to Power Quality Improvement

Load Active Power Transfer Enhancement Using UPQC-PV-BES System With Fuzzy Logic Controller

Contact Info

Product

Resources

About