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Showing papers by "National Institute of Technology, Silchar published in 2012"


Journal ArticleDOI
TL;DR: In this article, an autonomous hybrid generation system consisting of wind turbine generators (WTGs), solar thermal power system (STPS), solar photovoltaic (PV), diesel engine generators (DEGs), fuel cells (FCs), battery energy storage system (BESS), flywheel (FW), ultra capacitors (UCs), and aqua electrolyzer (AE) have been considered for simulation studies.

394 citations


Journal ArticleDOI
TL;DR: In this paper, a single-stage pulsewidth modulation inverter is selected as power electronic interface between fuel cell and grid to define the power limits in terms of FC, converter, and power system parameters.
Abstract: Renewable energy systems have developed wide interest to supply electricity in remote areas as well as for distributed power generation particularly during peak loads. Fuel-cell-based power generation is also gaining popularity in residential applications as well as distributed power generation due to its cleanliness, portability, and suitability for electricity and heat generation. Development of a suitable power electronic interface to make the technology viable is still a challenge. This paper presents modeling, simulation, and experimental study of a fuel cell (FC) power plant (FCPP) suitable for stand-alone application as well as for microgrid/grid interface. A single-stage pulsewidth modulation inverter is selected as power electronic interface between FC and grid. A mathematical model is developed in per unit system to define the power limits in terms of FC, converter, and power system parameters. The simulation model is developed in MATLAB environment with control scheme implementation in qd reference frame for investigation. A prototype of single-stage FCPP is developed in the laboratory to validate the results.

47 citations


Journal ArticleDOI
TL;DR: In this article, the application of fly ash in the removal of SOx, NOx, mercury, gaseous organics, and other impurities have been discussed an discussed an...
Abstract: Although, coal fly ash is recognized as an environmental pollutant, it can be used for the removal of various gaseous pollutants under controlled conditions. A lot of work has been conducted worldwide for the utilization of fly ash for various applications. It has been found from the literature that fly ash possesses potential application in the management of air quality. The literature data revealed that fly ash can be utilized for the removal of NOx, SOx, mercury, and other gaseous pollutants from air and other sources. Fly ash can be used as a promising sorbent for the removal of various types of air pollutants; however, further research need to be taken in the laboratory and pilot plant scale. It is also indicated that fly ash contained approximately 10–12% of unburned component and these unburned components may have an important role in their removal capacity. In this article, the application of fly ash in the removal of SOx, NOx, mercury, gaseous organics, and other impurities have been discussed an...

45 citations


Journal ArticleDOI
TL;DR: The notion of lacunary ideal convergence in intuitionistic fuzzy normed linear spaces as a variant of the notion of ideal convergence is introduced and a new concept, called Lacunary convergence, is introduced.
Abstract: The aim of this article is to introduce and study the notion of lacunary ideal convergence in intuitionistic fuzzy normed linear spaces as a variant of the notion of ideal convergence. Also, a new concept, called lacunary convergence, is introduced. Using these two notions, lacunary I-limit points and lacunary I-cluster points have been defined and the relation between them has been established. Characterization for lacunary ideal convergence preserving linear operators has been given. Furthermore, the notions of lacunary Cauchy and lacunary I-Cauchy sequences are introduced and studied.

36 citations


Journal ArticleDOI
01 Nov 2012
TL;DR: The results indicate that the proposed ANN-based model using LSFs feature set may be used as an alternative to state-of-the-art GMM-based models used to design a voice conversion system.
Abstract: In this paper, we present a comparative analysis of artificial neural networks (ANNs) and Gaussian mixture models (GMMs) for design of voice conversion system using line spectral frequencies (LSFs) as feature vectors. Both the ANN and GMM based models are explored to capture nonlinear mapping functions for modifying the vocal tract characteristics of a source speaker according to a desired target speaker. The LSFs are used to represent the vocal tract transfer function of a particular speaker. Mapping of the intonation patterns (pitch contour) is carried out using a codebook based model at segmental level. The energy profile of the signal is modified using a fixed scaling factor defined between the source and target speakers at the segmental level. Two different methods for residual modification such as residual copying and residual selection methods are used to generate the target residual signal. The performance of ANN and GMM based voice conversion (VC) system are conducted using subjective and objective measures. The results indicate that the proposed ANN-based model using LSFs feature set may be used as an alternative to state-of-the-art GMM-based models used to design a voice conversion system.

29 citations



Proceedings Article
30 Mar 2012
TL;DR: A new methodology using a new population based meta heuristic approach namely Modified Artificial Bee Colony algorithm (ABC) for the placement of Distributed Generators (DG) in the radial distribution systems to reduce the real power losses and to improves supply quality and reliability.
Abstract: One of the modern and important techniques in electrical distribution systems is to solve the networks problem of service availability, high loss and low voltage stability by accommodating small scaled de-centralized generating units in these networks, which is known as distributed generation (DG).This paper presents a new methodology using a new population based meta heuristic approach namely Modified Artificial Bee Colony algorithm (ABC) for the placement of Distributed Generators (DG) in the radial distribution systems to reduce the real power losses and to improves supply quality and reliability, reduces green house effects, improves voltage profile in radial distribution system, reduces line loss and environment impact. The modification is in the neighbouring search of the artificial bee colony (ABC) algorithm. The suggested method is programmed under MATLAB software and is tested on IEEE 33-bus test system and the results are presented. The method is found to be effective and applicable for practical network

28 citations


Proceedings ArticleDOI
01 Nov 2012
TL;DR: The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number (TRIFN), and the value and ambiguity index of TRIFNs have been defined.
Abstract: Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined. In order to rank TRIFNs, we have defined a ranking function by taking sum of value and ambiguity index. To illustrate the the proposed ranking method a numerical example has been given.

26 citations


Proceedings ArticleDOI
01 Dec 2012
TL;DR: The proposed ABC algorithm is a new metaheuristic approach inspired by intelligent foraging behavior of honeybee swarm for congestion management problem and is applied on IEEE 39 Bus New England test system.
Abstract: In a deregulated electricity market, when congestion occurs in a transmission line it violates system security and increase system cost. Transmission lines congestion is one of the technical problems which appear particularly in the deregulated environment. In a deregulated era, one of the important tasks of ISO is congestion free power system. Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market. Present paper proposed Artificial Bee Colony based generator rescheduling for congestion management problem. The ABC algorithm is a new metaheuristic approach inspired by intelligent foraging behavior of honeybee swarm. Firstly, generators are chosen based on their generator sensitivity factor (GSF). Secondly, Artificial Bee colony Optimization is used for rescheduling those selected generators. The proposed algorithm is applied on IEEE 39 Bus New England test system.

24 citations


Journal Article
TL;DR: In this paper, the authors proposed an intelligent flow measurement technique using ultrasonic flow meter using an optimal Artificial Neural Network (ANN) by comparing various schemes and algorithms based on minimization of Mean Square Error (MSE) and Regression close to one.
Abstract: Design of an intelligent flow measurement technique using ultrasonic flow meter is reported in this paper. The objective of the work are; (i) to extend the linearity range of measurement to 100% of the input range, (ii) to make the measurement system adaptive to variations in pipe diameter, liquid density, and liquid temperature, and (iii) to achieve the objectives (i) and (ii) by an optimal Artificial Neural Network ((ANN). An optimal ANN is considered by comparing various schemes and algorithms based on minimization of Mean Square Error (MSE) and Regression close to one. The output of ultrasonic flow meter is frequency. It is converted to voltage by using a frequency to voltage converter. An optimal ANN block is added in cascade to frequency to voltage converter. This arrangement helps to linearise the overall system for 100% of full scale and makes it adaptive to variations in pipe diameter, liquid density, and liquid temperature. Since the proposed intelligent flow measurement technique produces output which is adaptive to variations in pipe diameter, liquid density, and liquid temperature, the present technique avoids the requirement of repeated calibration every time there is change in liquid, and/or pipe diameter, and/or liquid temperature. Simulation results show that proposed measurement technique achieves the objectives quite satisfactorily.

22 citations


Proceedings ArticleDOI
02 Mar 2012
TL;DR: In this article, a new methodology using Differential Evolution (DE) for the placement of DG units in electrical distribution systems to reduce the power losses and to improve the voltage profile is presented.
Abstract: To improve the overall efficiency of power system, the performance of distribution system must be improved. This paper presents a new methodology using Differential Evolution (DE) for the placement of DG units in electrical distribution systems to reduce the power losses and to improve the voltage profile. Unlike the conventional evolutionary algorithms that depend on predefined probability distribution function for mutation process, differential evolution uses the differences of randomly sampled pairs of objective vectors for its mutation process. The Due to the increasing interest on renewable sources in recent times, the studies on integration of distributed generation to the power grid have rapidly increased. The distributed generation (DG) sources are added to the network mainly to reduce the power losses by supplying a net amount of power. In order to minimize the line losses of power systems, it is equally important to define the size and location of local generation. The suggested method is programmed under MATLAB software and is tested on IEEE 33-bus test system and the results are presented. The method is found to be effective and applicable for practical network.

Proceedings ArticleDOI
31 Dec 2012
TL;DR: In this article, a comprehensive survey on different power quality related problems as experienced by customers in different countries are highlighted and the authors proposed an intelligent power quality monitoring system that will help to detect different PQ disturbances and consequently assist in employing or implementing appropriate mitigation techniques.
Abstract: PQ issues are very much important for utilities, customers and end users and it is essential to be known by the concerned authorities or users for reduction of economic losses due to the poor PQ. The cost of poor PQ is high and rising. The paper gives insights on global economical losses due to poor PQ. The business risk posed by PQ problems is a real one with even ‘low tech’ industries exposed to serious financial losses. The global economic meltdown is not the only factor that is pulling down the revenues of Asian countries. A study released said Indian industries lost more than $ 9.6 billion in 2008–09 due to power outages. According to 2008 reports, poor power quality costs European business more than 150 billion dollars a year. In this paper, a comprehensive survey on different power quality related problems as experienced by customers in different countries are highlighted. Summary of PQ costs are given. As the consequence of poor PQ might have large financial impacts on a country's economy, more initiatives are expected from the concerned parties and regulating bodies to take corrective measures for maintaining better power quality from utility and at end users. Smart grid requires intelligent PQ monitoring to solve different PQ related problems. Authors proposed an intelligent power quality monitoring system that will help to detect different PQ disturbances and consequently assist in employing or implementing appropriate mitigation techniques.

Journal ArticleDOI
TL;DR: Three convergence-based M-ary cardinal metrics are proposed, based on different forms of dominance relations between two solutions, for comparing performances of two optimizers from their multiple runs.

Journal ArticleDOI
TL;DR: In this paper, a smart displacement measuring technique using Linear Variable Differential Transformer (LVDT) has been proposed to extend the linearity range of the overall system and make it independent of physical parameters of LVDT, input frequency and working temperature.

Journal ArticleDOI
TL;DR: In this article, the potential of acid activated papaya leaf for the adsorption of methyl orange (MO) dye from aqueous solution was described. But the results were limited to the removal of a single MO dye.
Abstract: The present investigation describes the potential of acid activated papaya leaf for the adsorption of methyl orange (MO) dye from aqueous solution. The FT-IR analysis indicated the presence of a wide variety of functional groups on the surface of the activated papaya leaf. Scanning electron microscopy and Electron dispersion X-ray techniques indicated the morphological behavior of adsorption onto the adsorbent, and weight percentage of chemical compositions available on the surface of adsorbent. The parameters, such as pH, contact time, and agitation rate giving the highest adsorption efficiency were obtained at 2, 120 min, and 150 rpm, respectively. The Langmuir model was found to represent the isotherm data better than other isotherms studied. Batch adsorption studies, based on the assumption of a pseudo first-order, Elovich Equation, and the pseudo second-order showed that the kinetic data followed closely a pseudo second-order mechanism. The adsorption capacity of activated papaya leaf for the removal...


Proceedings Article
30 Mar 2012
TL;DR: In this paper, a bacterial foraging (BF) based fractional-order PID (FOPID) controller was used for automatic generation control (AGC) of a two equal area thermal system considering single stage of reheat turbine and appropriate generation rate constraint (GRC) under deregulated market environment based on bilateral policy scheme.
Abstract: The paper deals with application of a bacterial foraging (BF) based fractional-order PID (FOPID) controller in automatic generation control (AGC) of a two equal area thermal system considering single stage of reheat turbine and appropriate generation rate constraint (GRC) under deregulated market environment based on bilateral policy scheme. Several integer-order (IO) controllers such as I, PI and PID controller have been tried out and dynamic responses so obtained are compared with FOPID controller to assess the best controller. Critical examinations clearly reveal that FOPID controller having five tuning parameters are quite robust and superior to conventional IO controllers in terms of settling time, reduced oscillations and peak overshoots. Further, investigation have been carried out for the selection of suitable value of speed regulation parameter (R) for governor (primary controller) using FOPID controller (secondary controller). Integral square error (ISE) criteria have been used as performance index to design the optimal controller.

Proceedings ArticleDOI
01 Dec 2012
TL;DR: In this article, a generator rescheduling algorithm is proposed to mitigate transmission congestion in a deregulated electricity market, which is done in an Optimal Power Flow (OPF) framework to minimize the overall congestion relief cost.
Abstract: In a deregulated electricity market, transmission congestion results in break system security and increase system cost Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment One of the important tasks of Independent System Operator (ISO) is congestion free power system in a deregulated era Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market Rescheduling is done in an Optimal Power Flow (OPF) framework to minimize the overall congestion relief cost Firstly, generators are chosen based on their generator sensitivity factor (GSF) Secondly, Particle Swarm Optimization is used for rescheduling those selected generators The proposed algorithm is applied on IEEE 39 Bus New England test system

Journal ArticleDOI
TL;DR: In this paper, the authors used potassium permanganate (KMnO4) to oxidize quaternary ammonium bromides to the corresponding tribromides conveniently and effectively.
Abstract: Potassium permanganate (KMnO4) oxidizes quaternary ammonium bromides to the corresponding tribromides conveniently and effectively. The procedure adopted is environmentally friendly as it is solvent-free. High purity, excellent yield, shorter reaction time and mild reaction conditions are some of the advantages of this synthetic protocol. The efficacy of quaternary ammonium tribromides, especially benzyltrimethylammonium tribromide, is also studied for bromination of some organic substrates.

Proceedings ArticleDOI
01 Dec 2012
TL;DR: In this article, the performance of several classical controllers such as Integral (I), proportional-integral (PI), Integral - derivative (ID), Proportional - Integral- Integral derivative (PID) and Integral Double Derivative (IDD) have been evaluated and compared.
Abstract: This paper deals with the automatic generation control (AGC) of interconnected two area and three area hydro system. It is assumed that all areas in the systems operate at the same frequency because the traditional approach for interconnection of hydro systems turned out to be unsuccessful. The more recent “Bacterial Foraging Technique” is used for optimization of secondary controller gains. The performances of several classical controllers such as Integral (I), proportional - Integral (PI), Integral - derivative (ID), Proportional - Integral - derivative (PID), Integral - double derivative (IDD) have been evaluated and compared. This comparison reveals that in both two and three area system, I controller provides best dynamic performance. The two area system with I controller is also studied using electrical governor and is compared with the conventional mechanical governor. The comparison reveals that electric governor provides better performance. The comparison of responses for different controllers for a three area system with and without generation rate constraints (GRC) reveal that I controller provides better dynamic performance. The system dynamic performances are evaluated by conserving 1% step load perturbation in any area.

Journal ArticleDOI
TL;DR: The model developed using Time-Lagged Recurrent Neural Networks (TLRNs) is used to estimate runoff for river Dikrong, a tributary of river Brahmaputra in India and is revealed to be a promising tool in operational hydrology.
Abstract: Artificial Neural Networks have been widely used to develop effective runoff-forecasting models. An overwhelming majority of networks are static in nature and also developed without incorporating geomorphologic information of the watershed. The objective of this study is to develop an efficient dynamic neural network model which also accounts for morphometric characteristics of the catchment. The model developed using Time-Lagged Recurrent Neural Networks (TLRNs) is used to estimate runoff for river Dikrong, a tributary of river Brahmaputra in India. Comparisons with traditional static models, with and without integration of geomorphologic data, reveal the proposed model to be a promising tool in operational hydrology.

Proceedings ArticleDOI
01 Dec 2012
TL;DR: In this paper, the effect of gate capacitance on varying oxide thickness for silicon MOSFET and CNTFET was analyzed and it was shown that in the nanometre regime quantum capacitance plays a major role in deciding the gate capacity.
Abstract: Carbon nanotube based FET devices are getting more and more importance today because of their high channel mobility and improved gate capacitance versus voltage characteristics. In this paper we compare and analyse the effect of gate capacitance on varying oxide thickness for silicon MOSTFET and CNTFET. It is seen that in nanometre regime quantum capacitance plays the major role in deciding the gate capacitance of a CNTFET and we find a favourable characteristics of decreasing gate capacitance with the decrease in the oxide thickness which is not possible to get in silicon MOSFET.

Proceedings ArticleDOI
01 Dec 2012
TL;DR: In this paper, the automatic generation control of an interconnected two area thermal system with appropriate generation rate constraints is considered in the areas of performance of several classical controllers such as Integral (I), Proportional plus Integral plus PI (PI), Integral and Double Derivative (IDD) controllers.
Abstract: This paper deals with automatic generation control of an interconnected two area thermal system Appropriate generation rate constraints are considered in the areas Performances of several Classical controllers like Integral (I), Proportional plus Integral (PI), Proportional plus Integral plus Derivative (PID), Integral plus Double Derivative (IDD) are compared with newly introduced Classical Controller in AGC named as Proportional plus Integral plus Double Derivative (PIDD) controller Investigation reveals that PIDD controller gives better dynamics than the other Controller Further, selection of suitable value of governor speed regulation parameter (R) has been examined in presence of PIDD controller Moreover, Area Capacity effect on the system dynamic responses has been studied for the first time in AGC using PIDD Controller System dynamic responses are examined with 1% step load perturbation in area 1

Journal ArticleDOI
TL;DR: In this paper, the phase diagram and results of refractive index, density, static dielectric permittivity and X-ray diffraction measurements of different binary mixtures of (ME6O.5) and 4-cyanophenyl 4-pentyl benzoate (CPPB) are reported.
Abstract: The binary mixtures of nematogenic compounds 4-n-pentyl phenyl 4-n′-hexyloxy benzoate (ME6O.5) and 4-cyanophenyl 4-pentyl benzoate (CPPB) show the presence of induced smectic phase. In this article, we report the phase diagram and the results of refractive index, density, static dielectric permittivity and X-ray diffraction measurements of different binary mixtures of (ME6O.5 + CPPB) throughout the entire composition range. The density and refractive index values have been analysed to obtain orientational order parameters. The various physical properties of the system have been discussed on the basis of the phase diagram.


Proceedings ArticleDOI
16 May 2012
TL;DR: In this article, an intelligent power quality monitoring system using virtual instrumentation and appropriate data acquisition system to detect different power quality disturbances is proposed, which can help identify the cause of power system disturbances and the problem conditions on a system before they cause interruptions or disturbances.
Abstract: Modern world is under tremendous pressure for alternative sources of energy and the trends are towards sustainable energy. Present power systems are facing heavy economic losses for poor power qualities. Efficiency of sustainable energy depends on the power quality of the supply. Presently, Power Quality issues are major problems for utilities, customers and end users. The cost of poor PQ is high and gradually rising. The paper gives insights on global economical losses due to poor PQ. The business risk posed by PQ problems is a real one with even low tech industries exposed to serious financial losses. It has been observed that the consequences of poor PQ would have large financial impacts on a country's economy, and more initiatives are required from the concerned parties and regulating bodies to take corrective measures for maintaining better power quality. Especially for successful sustainable energy programme, Power Quality Monitoring can help identify the cause of power system disturbances and the problem conditions on a system before they cause interruptions or disturbances. In an environment of sustainable energy and modern grid, intelligent PQ monitoring is essentially required to solve different PQ related problems. Authors proposed an intelligent power quality monitoring system using virtual instrumentation and appropriate data acquisition system to detect different PQ disturbances. The system is user friendly due to its graphical user interface. The tests were done in the Energy Laboratory of NIT, Silchar (India) and Research Lab, Electrical Engineering Department, AMU, Aligarh (India). The available energy in both the labs was solar energy. The qualities monitored include voltage fluctuations, sag, swell, interruptions, harmonics etc. The huge amount of acquired data has been analyzed using quadratic discriminant analysis technique to determine the condition of the waveforms. The system shows fast response with accuracy in monitoring desired power qualities.

Proceedings ArticleDOI
01 Sep 2012
TL;DR: In this paper, a filter bank was proposed to eliminate all sorts of possible noises in power line communication channel, including impulsive noise, narrow band noise, and color background noise.
Abstract: This paper describes a filter bank to eliminate all sorts of possible noises in power line communication channel. The noises that affect the performance of power line communications are mainly impulsive noise, narrow band noise and color background noise. In this paper, a model of power line communication channel (specifically, echo model) is considered. At first an adaptive notch filter is designed to eliminate the color background noise and then an adaptive filter using RLS algorithm is designed and implemented to suppress the impulsive noise and the narrow band noise. It is seen that after using such a filter bank, the information signal that is received at the receiver end is exactly the same as is being transmitted without any bit-error for any length of input bit stream.

Journal ArticleDOI
TL;DR: The subjective and objective evaluation results suggest that the proposed M-SVR based model for vocal tract modification combined with modified residual selection and epochbased model for prosody modification can provide a good quality synthesized target output.
Abstract: We propose a pitch synchronous approach to design the voice conversion system taking into account the correlation between the excitation signal and vocal tract system characteristics of speech production mechanism The glottal closure instants (GCIs) also known as epochs are used as anchor points for analysis and synthesis of the speech signal The Gaussian mixture model (GMM) is considered to be the state-of-art method for vocal tract modification in a voice conversion framework However, the GMM based models generate overly-smooth utterances and need to be tuned according to the amount of available training data In this paper, we propose the support vector machine multi-regressor (M-SVR) based model that requires less tuning parameters to capture a mapping function between the vocal tract characteristics of the source and the target speaker The prosodic features are modified using epoch based method and compared with the baseline pitch synchronous overlap and add (PSOLA) based method for pitch and time scale modification The linear prediction residual (LP residual) signal corresponding to each frame of the converted vocal tract transfer function is selected from the target residual codebook using a modified cost function The cost function is calculated based on mapped vocal tract transfer function and its dynamics along with minimum residual phase, pitch period and energy differences with the codebook entries The LP residual signal corresponding to the target speaker is generated by concatenating the selected frame and its previous frame so as to retain the maximum information around the GCIs The proposed system is also tested using GMM based model for vocal tract modification The average mean opinion score (MOS) and ABX test results are 395 and 85 for GMM based system and 398 and 86 for the M-SVR based system respectively The subjective and objective evaluation results suggest that the proposed M-SVR based model for vocal tract modification combined with modified residual selection and epoch based model for prosody modification can provide a good quality synthesized target output The results also suggest that the proposed integrated system performs slightly better than the GMM based baseline system designed using either epoch based or PSOLA based model for prosody modification

Proceedings ArticleDOI
01 Nov 2012
TL;DR: This paper proposes the design of digital comparator with two different parallel architectures and results show that the first proposed architecture has 23.769 % less combinational delay (logic + interconnect) and the second proposed architecture is even much faster and has a combinationaldelay of 35.218 % less compared to the traditional design.
Abstract: This paper proposes the design of digital comparator with two different parallel architectures. These comparators are first realized in Verilog and simulated with Xilinx ISE 8.2i platform and then compared with the traditional design. Simulation results show that the first proposed architecture has 23.769 % less combinational delay (logic + interconnect) and the second proposed architecture is even much faster and has a combinational delay of 35.218 % less compared to the traditional design.

Proceedings ArticleDOI
17 Jun 2012
TL;DR: In this article, a fuzzy logic controlled DSTATCOM increase the available load voltage by enhancing the VAR compensation, thereby improving the overall power factor connected to dynamically fluctuating inductive load.
Abstract: Studies revealed that there is a continuous fluctuation of output power and voltage for a constant speed wind generator under random variations of wind speed. These irregularities in power output are affecting the power quality, reliability and sustainability of the distributed system. This paper reveals that fuzzy logic controlled DSTATCOM increase the available load voltage by enhancing the VAR compensation, thereby improving the overall power factor connected to dynamically fluctuating inductive load. The proposed control methodology is based on the “theory of Instantaneous power balance and direct voltage control” for the DSTATCOM. Simulations are carried out in MATLAB/SIMULINK environment.