Depletion Of Energy Resources Research Articles

APPROACHES TO RATIONAL NUTRITION OF THE POPULATION OF INDUSTRIALIZED REGIONS EXPOSED TO AEROGENIC IMPACT OF AROMATIC HYDROCARBONS

In the process of sustainable development of regions, negative consequences arise in the form of (1) depletion of natural and energy resources, (2) reduction of biological diversity, (3) violation of the stability of ecosystems, and (4) pollution of environmental objects, including atmospheric air. The constant prolonged chronic aerogenic impact of aromatic hydrocarbons on the human body can make a significant contribution to the formation of additional morbidity and mortality in the population. The ability to neutralize and correct the effect of these compounds is ensured not only by continuous monitoring of the quality of atmospheric air and its impact on human health but also by specifically selected food rations. The analysis of modern theoretical data of international and Russian scientific literature was conducted within the methodological approaches to organizing food for the population in conditions of chemical pollution of atmospheric air. We searched for scientific information in bibliographic and abstract databases. Besides, we presented the average long-term data on (1) the content of benzene and phenol in the atmospheric air and blood in children living under conditions of high chemical aerogenic load with these substances; (2) the state of the antioxidant and conjugation-elimination functions of the benzene biotransformation system; (3) the assessment of the secretion of proteolytic digestive enzymes; and (4) the state of liver cells and excretory-concentration function of the biliary tract. There are examples of food products, the systematic inclusion of which in the diet accelerates the modification and elimination of chemicals; moreover, it has a membrane-stabilizing, hepatoprotective, and antioxidant effect. Acceleration of biotransformation and elimination of toxic substances can be done by including food products with a high content of fiber and pectins in the diet. The acceleration of the metabolism of toxic substances can be carried out by including in the diet foods with a high content of fiber and pectins, polyunsaturated fatty acids, and antioxidant vitamins. The importance of the availability of special diets for all groups of the population living in industrially developed regions under conditions of aerogenic chemical load, including aromatic hydrocarbons, is shown to minimize the negative impact of human-made chemicals and prevent diseases caused by an increased level of atmospheric air pollution.

INSTITUTIONALIZATION OF THE TRANSITION TO THE USE OF ALTERNATIVE SOURCES OF ENERGY

The consumption of traditional energy resources by the world economy leads to their catastrophic reduction and severe environmental consequences. In addition, there are a number of alternative means of energy replenishment, which are inexhaustible sources of energy: air, solar, geothermal energy, energy of orbital motion of the Earth (gravity), and energy derived from them. With traditional energy sources, they are able to provide energy to the world economy. Institutionalization processes have embraced the social development of global and national economies. It is important not only to cover alternative energy sources, but also to study the processes of institutionalization of the transition to them, improving the institutional system, institutions and institutions for the use of alternative energy sources. Multiple and diverse studies of alternative energy sources provide large-scale development. However, insufficient development of institutional issues, processes of institutionalization of the transition to the use of alternative energy sources are becoming a deterrent. Goal. The aim of the article is to develop scientifically sound proposals for the institutionalization of the transition to the use of alternative energy sources. Method. Various research methods are used: theoretical and empirical, fundamental and applied. Results. The rapid depletion of traditional energy resources and the constant increase in their price with increasing energy needs due to economic development and the evolution of people's lifestyles lead to the creation of alternative energy sources. The advantages of alternative energy sources are: renewable, widespread in most of their species, using some low operating costs, environmental friendliness. The negative qualities of using alternative energy sources include: low energy flux density, which forces manufacturers to use large areas of power plants; instability of energy production over time; high cost of using alternative energy sources. Institutionalization of the economy (generally) is a process of formation of formal institutions that limit the behavior of economic entities and generate a number of agreements, rules of the game, stereotypes of behavior, traditions. Institutionalization aims to improve the quality of life. The most important factor in justifying the institutionalization of the use of alternative energy sources is the need to address issues that directly affect the development and use of alternative energy sources. Scientific novelty. The study highlights problems that significantly reduce the use of alternative energy sources. Therefore, scientifically sound proposals for the institutionalization of the transition to the use of alternative energy sources: organizational, financial, methodological1, educational decisions. Practical significance. The practical significance of the study lies in the possibility of using developed scientifically sound proposals in the process of planning the country's energy strategy, sectoral programs for the development of energy generation from alternative sources, planning the work of industrial consumers, producers of energy from alternative sources.

The Effect of Trailing Edge Profile Modifications to Fluid-Structure Interactions of a Vertical Axis Tidal Turbine Blade

Renewable energy has become an essential energy alternative since the continual depletion of non-renewable energy resources and increasing environmental issues. Tidal energy is a promising future renewable resource which can be extracted using a vertical axis tidal turbine. Since it was proposed, a tidal turbine performance requires improvements which can be obtained by a blade’s trailing edge modification. Modifying the blade’s trailing edge profile is confirmed to be one way to improve a turbine’s work. However, the influence of a trailing edge modifications on a vertical axis tidal turbine blade’s interaction with fluid has not been fully understood, thus the fluid induced vibration as the fluid behaviour working on a vertical axis tidal turbine blade has not been completely discovered. In this paper, 2D fluid-structure interactions of modified vertical axis tidal turbine blades are examined and modelled using OpenFOAM. Three different modified blade profiles are proposed: sharp, rounded, and blunt. The modified profiles are employed to an original NACA 0012 blade and their influences on a vertical axis tidal turbine blade interaction are observed. The result discovers the fluid behaviour and fluid-induced vibrations at all positions (represented by 12 positions) over one turbine’s cycle. The results demonstrate the frequency domain blade velocities and time domain blade displacements for all modified blades. The fluid behaviour around the blade is confirmed by pressure distribution plots over the blade’s upper and lower surfaces. The results show that the blunt profile provides less frequent vibrations due to a reducing vorticity in the downstream fluid regime. However, the vibration amplitude that occurs on the blunt blade is higher than those of rounded and sharp profiles. Based on this research, the blunt trailing edge profile appears to be more favourable to be applied and used for vertical axis tidal turbine blades.

Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions

Given the depletion of shallow water wind energy resources and maturity of Floating Offshore Wind Turbine (FOWT), offshore wind technology is shifting from bottom fixed to floating. As a consequence, the research has concentrated on the points such as energy production and cost, which affect the commercialization of the wind farm. Researchers have studied the individual factors affecting these points, and used over-simplified methods. In order to provide a systematic and high quality analysis, we conducted a comprehensive study of wind farm based on unsteady Reynolds Average Navier–Stokes simulations two FOWTs and detailed decomposition of cost components. Specifically, under different scenarios, we compare the two FOWT performances, such as the power output, torque and six degrees of freedom motion response. The influences of the relative rotating direction and relative positions are analyzed. More importantly, we extensively discuss the impact of the interaction on the FOWT levelized cost of energy under various scenarios. It is found that tandem layout with a distance of 9.25D is the practical optimal parameter choice. This study is expected to provide guidances and insights for offshore wind researchers and governmental decision makers in future wind farm plannings.

Optimal Sizing of Hybrid Energy System Using Random Exploratory Search-Centred Harris Hawks Optimizer with Improved Exploitation Capability

Due to the depletion of traditional energy resources, emissions of greenhouse gases, climate change, etc., renewable energy resources (RER) based power generation is becoming the main source of the present and future power sector. The major RERs, including solar, wind, and small hydro, may provide reliable and sustainable solutions in the smart grid environment. Solar and wind energy-based power generation is more prevalent but varies in nature and is not even very predictable very efficiently. Therefore, it has become necessary to integrate two or more RER and develop a hybrid energy system (HES). The HESs provide a cost-effective and reliable power supply with reduced and/or almost negligible greenhouse gas emissions as well. Due to economic and power reliability concerns, the optimal sizing of components is necessary for the development of an optimum HES. In recent years, metaheuristic evolutionary algorithms have been widely used for optimal sizing of HES. Harris hawk’s optimizer (HHO) is a recently devised metaheuristics search method that has the ability to discover global minima and maxima. However, due to its weak exploitation capacity, the basic HHO algorithm’s local search is pretty slow and has a slow rate of convergence. Thus, to boost the exploitation phase of HHO, a new approach, random exploratory search centered Harris hawk’s optimizer (hHHO-ES), has been developed in the present work for optimal sizing of HES. The suggested approach is validated and compared to existing optimization approaches for a variety of well-known benchmark functions, including unimodal, multimodal, and fixed dimensions. Following this, it is used to develop HES, which will be capable of providing power to remote areas where grid supply is scarce. The objective function is formulated using net present cost (NPC) as a prime function under a set of constraints such as bounds of system components and reliability. The obtained results are compared with those from harmony search (HS) and particle swarm optimization (PSO) and found to be better.

Влияние барокамерной гипоксии на эмоционально-двигательное поведение животных

The paper studies the features of orienting-exploratory activity in the conditions of adaptation of the body to pressure chamber hypoxia. White laboratory rats were used in the studies. Simulation of acute hypoxia was carried out in a pressure chamber. In the course of the work, it was found that acute hypoxia leads to inhibition of emotional and motor activity in animals on the 3rd day, depleting energy resources in the nerve cells of the brain of rats. It is known that in the brain, in comparison with the liver and heart, the highest rate of glycolytic reactions is observed, and therefore, within a short time interval, the concentration of lactate in the brain tissue increases significantly. In addition to the accumulation of lactic acid, there is an intensive formation of a number of underoxidized products - reduced pyridine nucleotides, an increase in the content of other organic acids of the Krebs cycle, for example, pyruvic acid. The general acidification of the intracellular environment of neurons is accompanied by a sharp decrease in the activity of cellular enzymes and a violation of their connections with the membrane. Starting from the fourth day, the excitability of neurons responsible for grooming is inhibited, the resistance of the animal organism to acute hypobaric hypoxia increases. The action of low barometric pressure (altitude 6000 meters above sea level) on the fifth and sixth day leads to hypoxic dysfunction of the higher parts of the central nervous system. Thus, the study of the features of the course of bioelectrical processes in the CNS against the background of emerging acute exogenous hypoxic conditions of various origins is of particular importance due to the need to obtain timely and objective information about the severity of functional disorders of brain structures sensitive to hypoxia, as well as to determine the level of their damage.

Research of a novel short-term wind forecasting system based on multi-objective Aquila optimizer for point and interval forecast

Facing the increasing depletion of traditional energy resources and the worsening environmental issues, wind energy sources have been widely considered. As an essential renewable energy resource, wind energy features abundant deposits, extensive distribution, non-pollution, etc. In recent years, wind power generation occupies a non-negligible position in the electric power industry. Stable and reliable power system operation demands accurate wind speed prediction (WSP), but the inherent randomness of wind speed sequences complicates their fluctuations and causes them to be uncontrollable. In this paper, an innovative WSP system is proposed, which combines data pre-processing technique, benchmark model selection, an advanced optimizer for point forecast and interval forecast. Furthermore, this paper theoretically demonstrates that the weights allocated by this optimizer are Pareto optimal solutions. Six interval data from two sites in China are utilized to validate the forecasting performance of our developed model. The experimental results indicate that the developed model can achieve superior accuracy compared to the tested models in all cases for point forecast, and also obtains the forecasting interval with high coverage and low width error, which is an extremely crucial instruction to guarantee the security and stability of the power system.

Co-pyrolysis of lentil husk wastes and Chlorella vulgaris: Bio-oil and biochar yields optimization

The ever-increasing demand for fossil fuels has led to environmental issues and depletion of energy resources, as a consequence, a growing interest in biomass as a promising renewable and sustainable feedstock for biofuels production is developing. In this work, lentil husks (agricultural wastes) and Chlorella vulgaris (microalgae) were selected to investigate their interaction during co-pyrolysis process. Using a response surface methodology (RSM), a series of experiments were designed and carried out in a fixed bed reactor varying the temperature of 400–600 °C, heating rate of 5–25 °C/min and algae to husk blend ratios of 0, 25, 50, 75, 100 wt% at constant flow rate of argon carrier gas, 0.4 L min−1. The yield of Bio-oil and biochar as co-pyrolysis products were studied both quantitatively and qualitatively. The results unraveled a significant improvement on bio-oil yield by addition of C. vulgaris to lentil husk. Bio-oil yield increased from 13.8% to 20.8% by increasing algae content from 0% to 100% (T = 500 °C, HR = 15 °C min−1). While at T = 600 °C, the gas yield increased to 40.15%. and lower temperature (400 °C), favored biochar formation (39.5%), finally optimization results could lead to bio-oil yield of 18% (T = 479 °C, HR = of 16 °C min−1, R = 54%). The quality of the product at optimized level was featured by a rise in the carbon and a decrease in the oxygen content of bio-oil, and a bio-oil with improved higher heating value was obtained. The results of volatile products analyzed by Gas chromatography–mass spectrometry (GC-MS) showing that, the co-pyrolytic oil was rich in alkanes and aromatics compounds. Synergistical interactions between C. vulgaris and lentil husk, showed that alcohols, ketones and esters went through a remarkable reduction and phenols formation as valuable chemical compounds was improved.

Влияние барокамерной гипоксии на эмоционально-двигательное поведения животных

The paper studies the features of orienting-exploratory activity in the conditions of adaptation of the body to pressure chamber hypoxia. White laboratory rats were used in the studies. Simulation of acute hypoxia was carried out in a pressure chamber. In the course of the work, it was found that acute hypoxia leads to inhibition of emotional and motor activity in animals on the 3rd day, depleting energy resources in the nerve cells of the brain of rats. It is known that in the brain, in comparison with the liver and heart, the highest rate of glycolytic reactions is observed, and therefore, within a short time interval, the concentration of lactate in the brain tissue increases significantly. In addition to the accumulation of lactic acid, there is an intensive formation of a number of under oxidized products — reduced pyridine nucleotides, an increase in the content of other organic acids of the Krebs cycle, for example, pyruvic acid. The general acidification of the intracellular environment of neurons is accompanied by a sharp decrease in the activity of cellular enzymes and a violation of their connections with the membrane. Starting from the fourth day, the excitability of neurons responsible for grooming is inhibited, the resistance of the animal organism to acute hypobaric hypoxia increases. The action of low barometric pressure (altitude 6000 meters above sea level) on the fifth and sixth day leads to hypoxic dysfunction of the higher parts of the central nervous system. Thus, the study of the features of the course of bioelectrical processes in the CNS against the background of emerging acute exogenous hypoxic conditions of various origins is of particular importance due to the need to obtain timely and objective information about the severity of functional disorders of brain structures sensitive to hypoxia, as well as to determine the level of their damage.

Multifunctional device integrating dual-temperature regulator for outdoor personal thermal comfort and triboelectric nanogenerator for self-powered human-machine interaction

Reasonable depletion of energy resource to realize energy affair is critical to ever-lasting advancement of human society, such as passive thermal management strategy and self-powered technologies, promoting emergence of integrated and functionalized energy device. Here, series of multiply-utilization-type composite nanofibers were prepared by electrospinning to apply for personal thermal comfort and tactile triboelectric nanogenerator (T-TENG). Our heating/cooling pattern enables a skin simulator’s temperature increase/decrease of 8.7 ℃/2.5 ℃ respectively under sunlight exposure. Thermoelectricity was utilized to transform the heat into electricity with a maximum voltage of 157.6 mV. Besides, with optimization of structure and materials of T-TENG, optimum output performance with open-circuit voltage (VOC) of 215.1 V, short-circuit current (ISC) of 2.54 μA, transfer charge (QT) of 70.72 nC and superior effective peak power density of 362.58 mW m−2 were acquired. Furthermore, a self-powered game controller with signal acquiring and processing circuits for manipulation of game characters was achieved, and the International Morse Code that relay on motion recognition was first time realized with assistance of machine learning. The flexible and self-powered T-TENG manifests an imperative application value in electronics for HMI and wearable device.

Correlation Between Changes in Environmental Temperature and Performance of High-Discharge Lithium-Polymer Batteries

Electric vehicles (EVs) have been developed to solve environmental problems and the depletion of energy resources, and batteries have been used as their main energy source. The battery used in this study was a lithium polymer battery with the same chemical structure as lithium-ion. The use of a solid electrolyte has advantages, such as lack of leakage of electrolyte, high density per size, and convenient shape design. In this study, we analyzed the heat generation and performance characteristics of EV batteries through experiments on changes in environmental temperature. There is a difference in the heat generation depending on the discharge rate, and the performance characteristics of the battery improves as the environmental temperature rises. In the experiment, the battery discharge performance and heat generation were meaningful at 40°C environmental temperature, the worst battery discharge performance and heat generation at −30°C environmental temperature were 25.1 W (1 C), 81.0 W (2 C), and 151.5 W (3 C). In this study, the heat generation and performance characteristics of the battery were analyzed according to the change in the environmental temperature and discharge rate of the battery. We proposed a relationship between heat generation and environmental temperature in terms of discharge rate. The relationship is significant in designing thermal management system for battery powered devices.

DCNN-GCM: A Deep CNN and Granger Causality Models for Forecasting Welfare Level of Energy-Producing Countries and Evaluating the Relationship between Energy Consumption and Sustainable Economic Welfare

From the beginning of creation, human beings have realized the importance of energy for survival. They have always devoted a significant part of their energy to provide the required energy. Moreover, it can be said that energy resources have an essential role in the life and evolvement of societies. On the contrary, with the depletion of energy resources, severe environmental pollution caused by the consumption of petroleum products, and high cost of energy in the production cycle, allocating these resources must be carried out carefully. This paper aims to look at the connection between energy consumption and sustainable economic welfare in OPEC countries (Iran, Kuwait, Saudi Arabia, UAE, Ecuador, and Venezuela) during 2019–2009, utilizing the panel data method. Finally, we presented a CNN architecture for forecasting welfare levels in the case study countries. As a result, the relationship between energy consumption and economic growth among selected countries from energy-producing countries was compared in this analysis, which used the standard Granger causality test and the Granger causality test in several domains. The findings suggest that economic growth and inflation positively impact energy consumption in the countries studied. In addition, energy consumption positively impacts these countries’ sustainable economic welfare, while inflation has a negative effect. In addition, the findings of the standard Granger causality test indicate a one-way causal association between energy consumption and economic development in Iran and Venezuela, as well as one-way causality from GDP to energy consumption in Ecuador, the United Arab Emirates, Saudi Arabia, and Kuwait. Also, based on the results of the CNN method, the RMSE are 1.75, 3.81, 1.39, 0.52, 0.69, and 1.72 for Ecuador, Emirates, Iran, Saudi Arabia, Kuwait, and Venezuela, respectively.

Expect: EXplainable Prediction Model for Energy ConsumpTion

With the steady growth of energy demands and resource depletion in today’s world, energy prediction models have gained more and more attention recently. Reducing energy consumption and carbon footprint are critical factors for achieving efficiency in sustainable cities. Unfortunately, traditional energy prediction models focus only on prediction performance. However, explainable models are essential to building trust and engaging users to accept AI-based systems. In this paper, we propose an explainable deep learning model, called Expect, to forecast energy consumption from time series effectively. Our results demonstrate our proposal’s robustness and accuracy when compared to the baseline methods.

Modelling of Liquid-Liquid Equilibria Using NRTL and UNIFAC Equations in the Extraction of Bio-Oil-Based Phenolics Produced from the Pyrolysis of Sugarcane Bagasse

An exploration on renewable energy resources has been paid more attention due to the depletion of the fossil-based energy resource. In addition, their safe and environmentally friendly properties have attracted experts’ interest. One of the renewable energy resources is the bio-oil produced from sugarcane bagasse. The bio-oil was produced through a pyrolysis at 500°C. However, the produced bio-oil showed a high content of phenolics, c.a. 40-60%. A liquid-liquid extraction to remove the phenolics using methanol-chloroform solvents would be beneficial to improve the stability of the bio-oil as well as to obtain high purity phenolics. Modelling of the liquid-liquid equilibria in the extraction was then developed using NRTL and UNIFAC equations. The empirical quantitative data of phase equilibrium system were calculated on both the extract and raffinate phases. The lowest RMSD value of 0.043160 was obtained from the calculations using NRTL equation at an extraction temperature of 50°C. Thus, the most suitable model was achieved using NRTL equation.

УТОМЛЕНИЕ: ПОНИМАНИЕ ПРОБЛЕМЫ И СИСТЕМНЫЕ МЕХАНИЗМЫ ЕГО РАЗВИТИЯ

The purpose of the research is to determine the modern ideas about fatigue and the physiological mechanisms of its development. Methods and organization of the research: a review of publications using Google Scholar and PubMed databases. Research results and discussion. When analyzing scientific and methodological publications related to the study of fatigue, many problems has been revealed, such as the ambiguity of interpretation of the word "fatigue" often used in sports science and mechanisms of its development that are not fully understood. The exact understanding of each definition will depend both on the semantic groups of the words and on their morphological structure. At the same time, when studying the physiological mechanisms of fatigue, the central and peripheral mechanisms of its development are separated. The first will include processes emanating from the central nervous system, and the second - processes occurring in the peripheral nervous system. The processes of fatigue on the periphery are associated with the depletion of energy resources, an increase in the number of metabolites (hydrogen ions, lactate), with the magnitude and localization of flows through various ion channels, with a change in the electrochemical gradients of Na, K and Cl inside and outside the muscle fiber membrane, with intensity and duration muscle stimulation. At the level of the central nervous system, the processes are associated with limitations in motor control related both to the processes of synaptic transmission of neurotransmitters and psychological factors, which are currently poorly understood, but, nevertheless, show their influence in experimental data. Conclusion: this review article puts forward objective proposals for the exact understanding of each of the above definitions in the Russian-language literature and highlights some of the nuances of understanding in the foreign one. Also, ideas about the physiological mechanisms of central and peripheral fatigue are revealed.

Shape stabilized attapulgite/myristic-palmitic acid composite PCM for thermal energy storage implementations in buildings

Depletion of energy resources and increasingly serious environmental problems due to increasing population and technological developments has led researchers to develop advanced energy storage techniques. The latent heat thermal energy storage method, in which phase change materials (PCMs) are used, is one of the most promising methods to overcome such problems. Fatty acids have been preferred mostly as solid–liquid PCMs for different thermal energy storage (TES) applications. However, the leakage difficulty of these PCMs significantly limits their utilizations in TES systems. This study is focused on eliminating this disadvantage of myristic acid (M)-palmitic acid (P) eutectic mixture (MPEM) with proper phase transition temperatures for thermal management of buildings. The developed eutectic mixture was then incorporated with attapulgite clay (ATC) to achieve shape-stabilized composite which does not allow liquid PCM leakage. FT-IR and SEM findings indicated the existence of good physicochemical compatibility between the ATC and MPEM. DSC analysis revealed that the composite had phase change temperature of 44–45 °C and latent heat of fusion of about 74 J/g, respectively. TGA test results showed that the fabricated composite has good thermal durability and stability. It can be inferred from the results that the produced ATC/MPEM composite had noteworthy potential as new admixture material with TES ability which can be used for energy saving and indoor thermal comfort improvement in buildings.

Multifunctional materials for photo-electrochemical water splitting

The rise in world pollution and energy demand has aggravated the energy crisis and depletion of non-renewable energy resources. Here, we review multifunctional materials that can be used for photoelectrochemical water splitting for clean energy production.

Thermodynamic assessment of a small-scale solar chimney

In recent decades, the world is facing significant global population growth, leading to an energy use intensification. Due to the depletion of global energy resources, renewable sources can be used to replace or enhance conventional sources. Solar energy is a non-polluting and inexhaustible energy source. The solar chimney uses solar energy to heat the air and generate an updraft airflow, which can be used for electricity generation or agricultural drying. Most models from the literature predict the steady-state airflow parameters using fixed values for ambient temperature and solar radiation, or unsteady analysis using experimental data. In this paper, a comprehensive assessment of the unsteady airflow inside a small-scale prototype is presented. A mathematical model is used to predict the mass flowrate and the temperatures of the airflow throughout a year, on an hourly basis, and the results showed a good agreement with experimental data obtained in a small prototype. The performance of the system was evaluated, with a maximum exergy efficiency of 11%. The low energy and exergy efficiencies were mainly attributed to the small dimensions of the prototype.

Stress, asthenia and cognitive disorders

Asthenia is a clinical syndrome that nearly any somatic and neurological pathologies can manifest with. Being is essence a defense mechanism that signals the depletion of energy resources, asthenia can become a pathological, extremely disabling condition, and even transform into a nosology of its own - the chronic fatigue syndrome, an immune-mediated disease. Besides, asthenia is often combined with affective and cognitive disorders, which facilitates difficulties in the establishing of the primary diagnosis. In this article we examine the complicated weave of asthenia, chronic fatigue syndrome, cognitive, and affective disorders.

Novel Control Approach with FRT capability for Grid connected HYBRID distributed generation system using ANN controller based DVR

Abstract: For ever increasing power demand and depletion of conventional energy resources, Renewable Energy Systems (RES) became an alternative source of electricity to reduce the load stress on the Power Grid. Although several control & design modifications are presented in past literature to improve reliability & performance of through Distribution Generation (DG) technologies, they always fall short in some aspects of voltage stability and Fault Ride Through (FRT) capabilities. The main aim of the project is Protecting Critical load from Grid side altercations which occur due to harmonics generated by DG’s and Short circuit faults near to load center. This project proposes the application of a Dynamic Voltage Restorer (DVR) to enhance the power quality and improve the Fault Ride Through (FRT) capability of a three-phase medium-voltage network connected to a hybrid distribution generation (DG) system. In this hybrid farm, the Photo Voltaic (PV) plant via single-stage energy conversion (DC-AC inverter) & DFIG (Doubly-Fed Induction Generator) based Wind power plant are connected to the same Point of Common Coupling (PCC). For MPPT of wind power plant, we use Pitch Angle Control (PAC) technique. This topology allows Perturb and observe (P&O) based MPPT algorithm for PV plant through connection of the DG (Distribution generation) system to the public grid through a step-up transformer. In addition, the DVR based on Artificial Neural Network (ANN) controller is connected to the same PCC. Different fault condition scenarios are tested for improving the efficiency and the quality of the power supply and compliance with the requirements of the sensitive Load. The efficiency of this control technique is that it enhances restoration and harmonics suppression capabilities of DVR which are far superior than that of PI controller used in existing model. Keywords: RES, DG, LVRT, FRT, PV, DFIG, PCC, MPPT, P&O, DVR, PI, ANN, THD, Voltage stability.