Improve Energy Quality Research Articles

Series active filter using seven level packed U cell converter for power quality enhancement

In a low-voltage electrical grid, harmonics can have devastating effects on electrical equipment, leading to premature aging, reduced lifespan, and increased maintenance costs. To mitigate these issues, the control of a PUC-type multi-level converter series active filter is investigated in this study, with the primary objective of improving energy quality and reducing disturbed electrical voltage. The proposed filter utilizes a PUC-type voltage inverter controlled by PWM (Pulse Width Modulation) and employs two methods for identifying disruptive voltages: the instantaneous power (P-Q) method for harmonic compensation and the SRF (Synchronous Reference Frame) method. The simulation models are built using the MATLAB-Simulink software platform, which allows for accurate and efficient modeling of the filter's behavior under various operating conditions. The simulation results demonstrate the effectiveness of the series active filter in mitigating harmonics and voltage disturbances, highlighting its potential for real-world applications. The results show that the filter is able to significantly reduce the total harmonic distortion (THD) of the output voltage, improving the overall power quality. Furthermore, the simulation results also demonstrate the ability of the filter to quickly respond to changes in the grid voltage, making it an effective solution for addressing voltage disturbances. The study's findings suggest that the PUC-type multi-level converter series active filter has great potential for real-world applications in low-voltage electrical grids, particularly in systems that require high-quality power supply and efficient harmonic compensation. The proposed filter's ability to improve power quality and reduce harmonic distortion makes it a promising solution for mitigating the negative effects of harmonics on electrical equipment in low-voltage electrical grids.

Predictive power fluctuation mitigation in grid-connected PV systems with rapid response to EV charging stations

Currently, renewable energies and electric vehicle charging stations are essential for energy sustainability. However, the variable generation from renewable sources, such as photovoltaic systems, can lead to power peaks that impact the stability of the grid. This challenge is exacerbated by the increasing demand in fast-charging stations. Addressing these demand peaks is crucial to ensure the stability of the electrical grid. This paper introduces the predictive-flex smoother, an innovative method designed to mitigate power fluctuations in grid-connected photovoltaic systems while optimizing energy management in electric vehicle charging stations. The predictive-flex smoother method incorporates a hybrid energy storage system comprising supercapacitors and vanadium redox flow batteries to respond rapidly to electric vehicle charging stations demands, enhance grid electricity purchase optimization, and improve energy quality delivery. The proposed method integrates two control strategies: photovoltaic fluctuation reduction strategy and peak demand reduction strategy for electric vehicle charging stations. By leveraging prediction algorithms and machine learning techniques, the predictive-flex smoother method achieves precise power fluctuation forecasts, allowing efficient utilization of supercapacitors and vanadium redox flow batteries to smooth photovoltaic power fluctuations and reduce electrical vehicles peak demand. Comprehensive experimental investigations and simulations validate the method's performance under various operational conditions. The results demonstrate the effectiveness of the predictive-flex smoother method, significantly improving the quality of power delivered to the grid while reducing costs. The experimental platform, validates the real-time response of the proposed method, with response times under 500 ms. The experimental results further confirm the efficiency of the method in power smoothing and charging strategies with varying electrical vehicles models and connection coefficients.

Improving the Performance of Hybrid System-Based Renewable Energy by Artificial Intelligence

Abstract Artificial intelligence (AI) has emerged as a critical indicator of technological progress in recent years. The present study uses AI to enhance the efficiency of a hybrid system that operates on renewable energy sources. The hybrid system we propose consists of a wind energy conversion system (WECS), a photovoltaic system (PVS), a battery storage system (BSS) and electronic power converters. AI manages these converters cleverly. We use the maximum power point tracking (MPPT)-based fuzzy logic controller (FLC) to regulate the boost converter in the PVS and the WECS. We propose an adaptive neuro fuzzy inference system (ANFIS)-based controller to control the bidirectional converter of the storage system. The design of this module intends to maintain voltage stability on the direct current (DC) bus and improve energy quality. We study and simulate this system using MATLAB/SIMULINK. The results of this research show that the FLC-MPPT technique outperforms the Perturb and Observe (P&O) algorithm in terms of efficiency in power production. The console we propose also shows good results in maintaining the voltage stability in the DC bus in comparison with the proportional integral (PI) controller. This paper has the potential to contribute to the development of environmentally friendly resource performance.

Renewable energy integration and distributed generation in Kosovo: Challenges and solutions for enhanced energy quality

<abstract> <p>The growing demand for energy, driven by rapid economic development, necessitates higher electricity consumption. However, conventional energy systems relying on fossil fuels present environmental challenges, prompting a shift towards renewable energy sources. In Kosovo, coal-fired power plants dominate electricity production, highlighting the need for cleaner alternatives. Worldwide efforts are underway to increase the efficiency of photovoltaic systems using sustainable materials, essential for ecological and human health. Solar and wind energy are emerging as sustainable alternatives to traditional fossil fuels. However, global concerns about energy security and environmental sustainability are driving countries to prioritize renewable energy development.</p> <p>In Kosovo, the integration of renewable energy sources, such as wind and solar energy, is progressing rapidly. However, challenges such as voltage stability and power losses need to be addressed. Distributed generation offers a solution by increasing energy reliability and reducing greenhouse gas emissions. Further research is needed to assess the technical, economic, and environmental implications of integrating renewable resources into Kosovo's energy system, focusing on power quality, system reliability, and voltage stability. The research focused on the eastern region of the country, operating at the 110 kV substation level. Challenges in energy quality arise due to the lack of 400 kV supply and the continuous increase in energy consumption, especially in the Gjilan area. This paper investigated integrating renewable energy, especially wind and solar sources, into the medium- and long-term plans at the Gjilan 5 substation to enhance energy quality in the area. Successful integration requires detailed analysis of energy flows, considering the impact of photovoltaics (PVs) on distribution system operation and stability. To simulate and analyze the effects of renewables on the transmission system, voltage profile, and power losses, a case study was conducted using ETAP software. The simulation results present a comparison between scenarios before and after integrating renewable systems to improve energy quality in the identified area.</p> </abstract>

Overall design of a 5 MW/10 MJ hybrid high-temperature superconducting energy storage magnets cooled by liquid hydrogen

The integration of superconducting magnetic energy storage (SMES) into the power grid can achieve the goal of storing energy, improving energy quality, improving energy utilization, and enhancing system stability. The early SMES used low-temperature superconducting magnets cooled by liquid helium immersion, and the complex low-temperature cooling system greatly limited the promotion and application of such devices. SMES based on high temperature superconductivity (HTS) materials can operate in the temperature range of 15–30 K, which simplifies the cooling system and reduces the cooling loss, and greatly improves the operating efficiency and stability of the cooling system. In this paper, the overall design of a 5 MW/10 MJ SMES based on state of the art HTS materials is achieved. The structural parameters of YBCO and MgB2 cables are introduced and the structural parameters of energy storage magnet are analyzed. And the cooling scheme for SMES is provided.

An optimal initialisation for robust model reference adaptive PI controller for grid-tied power systems under unbalanced grid conditions

This paper presents an Optimal Robust Model Reference Adaptive Proportional–Integral controller for grid-tied power systems, which is automatically parametrised using a Genetic Algorithm. The task of choosing the adaptation rate and the controller’s initial gains set is now performed in a computational and automatic way, saving design time and ensuring satisfactory transient regimes.The use of a Genetic Algorithm for complete parametrisation of robust adaptive controllers applied to renewable energy power generation systems with LCL filter is first here explored. Five cost functions are considered in the optimisation process. A comparison of simulation results applying the optimised controller in a grid-tied Voltage Source Inverter with LCL filter points out the benefits and drawbacks of using each cost function. A framework for performance analysis and an in-depth discussion are provided. The function determined as the best one, which is integral of absolute error, is used in the controller implemented experimentally, ensuring suitable tracking of grid current references and rejection of grid voltage harmonics, even under unbalanced grid voltage conditions. An experimental comparison in a three-phase 6.75 kW power converter with the non-optimised controller is also provided, where the optimised controller obtains a reduction in the overshoot in all transient regimes and smaller tracking error, resulting in a reduction in the mean error of 14.31% and 60.30% in α and β coordinates, respectively. In addition, the optimised controller reduces total harmonic content, improving energy quality. This parametrisation procedure can be immediately extended to the control of any other power converter systems.

The Effectiveness of a Simulation Model of Thermal Insulation in Building Materials Using Cellulose Extracted from Agricultural Waste in Baghdad

This study found that one of the constructive, necessary, beneficial, most effective, and cost-effective ways to meet the great challenge of rising energy prices is to develop and improve energy quality and efficiency. The process of improving the quality of energy and its means has been carried out in many buildings and around the world. It was found that the thermal insulation process in buildings and educational facilities has become the primary tool for improving energy efficiency, enabling us to improve and develop the internal thermal environment quality processes recommended for users (student - teacher). An excellent and essential empirical study has been conducted to calculate the fundamental values ​​of thermal conductivity coefficient for different types of cement mortar, including the different concentrations of cellulosic fibers. And in our study, those cellulosic fibers obtained from sugarcane and sugarcane residues (agricultural waste materials) were used. The percentage is 10%; 20% and 30% of cellulose fibers were added to the cement mixtures. Then the differences are measured, specifically in the physical properties (heat capacity, density, and thermal conductivity coefficient) for 28 days. The Design-Builder program also implemented a precise simulation of the thermal loads of the external envelope of the educational building that is exposed to direct sunlight before and after the insulation process. It was found that with the use of thermal insulation material (meaning the cellulosic fiber technology) mixed with the cement mortar layer of the educational building, the given value of the heat transfer coefficient W/m2 Kelvin decreased by 47.2%. Accordingly, this contributed significantly to a significant and very significant saving in the values ​​of electrical energy consumption by 11.9% for cooling and heating operations and to reducing dangerous carbon dioxide emissions by 52.2%. The simulation has shown that applying thermal insulation techniques to all buildings and educational facilities is highly recommended to save a large consumption in the value of electrical energy and the costs of waste materials and to ensure integrated protection for the ecosystem.

Power control strategy of a photovoltaic system with battery storage system

In this paper, an intelligent approach based on fuzzy logic has been developed to ensure operation at the maximum power point of a PV system under dynamic climatic conditions. The current distortion due to the use of static converters in photovoltaic production systems involves the consumption of reactive energy. For this, separate control of active and reactive powers using a proportional-integral controller is applied. Using batteries for energy storage in the photovoltaic system has become an increasingly promising solution to improve energy quality: current and voltage. For this purpose, the energy management of batteries for regulating the charge level under dynamic climatic conditions has been studied. The research presented in this paper provides an important contribution to the application of fuzzy theory to improve the power and performance of a hybrid system comprising a grid-connected PV, battery, and energy management strategy. Therefore, to highlight the advantage of the FL-MPPT studied in this paper, its performance has been compared and analyzed with conventional P&O and NNT algorithms. Simulation results are carried out in MatLab/Simulink tools. According to the analysis of the results, a better energy quality has been proven.

Active Harmonic Filtering for Improving Power Quality of an Electrical Network

The increase use of polluting equipment, especially in the field of power electronics, has caused appearance of harmonics and deterioration in the supplied current wave quality. For this reason, several harmonic pollution control methods have been developed, and the use of the active filtering presents the most efficient and appropriate solution. This work concerns improving energy quality of an electrical network by using an active parallel filter. To achieve this objective, three essential steps were pursued: identification of the harmonic currents, insertion and control of an active parallel filter, and checking effectiveness of the adopted filtering strategy by comparing the total harmonic distortion (THD) values before and after filtering. The various obtained results prove capacity of the inserted active filter to decontaminate harmonic pollution and consequently improve the energy quality.

Load Flow and Short-Circuit Methods for Grids Dominated by Inverter-Based Distributed Generation

The use of power-electronics-based devices in distribution generation seeks to improve energy quality and reduce costs. The inverter-based distributed generator, that works in different operation modes, has emerged as a promising technology. In a high distributed generation penetration scenario it is important to know the voltage profile and fault information due to the uncertainty in the generator operation and the impact that have on the network. This study aims to use two proposed methods of analysis: for power flow, based on backward/forward sweep method, and short-circuit, based on hybrid impedance matrix, that considers the inverter operation modes and represents each generator as a voltage-controlled current source. The chosen network is the IEEE 34-Node Test Feeder with a generator on each load per phase. The voltage profiles obtained will be validated with a Simulink/Matlab phasorial model. The results show an average error of 2.39% and a gain in voltage profile processing time of 2185.24%, making its use consistent for larger systems.

Plasma and Superconductivity for the Sustainable Development of Energy and the Environment

The main aim of this review is to present the current state of the research and applications of superconductivity and plasma technologies in the field of energy and environmental protection. An additional goal is to attract the attention of specialists, university students and readers interested in the state of energy and the natural environment and in how to protect them and ensure their sustainable development. Modern energy systems and the natural environment do not develop in a sustainable manner, thus providing future generations with access to energy that is generated from renewable sources and that does not degrade the natural environment. Most of the energy technologies used today are based on non-renewable sources. Power contained in fuel is irretrievably lost, and the quality of the energy is lowered. It is accompanied by the emissions of fossil fuel combustion products into the atmosphere, which pollutes the natural environment. Environmental problems, such as the production of gaseous and solid pollutants and their emission into the atmosphere, climate change, ozone depletion and acid rains, are discussed. For the problem of air pollution, the effects of combustion products in the form of carbon oxides, sulfur and nitrogen compounds are analyzed. The plasma and superconductivity phenomena, as well as their most important parameters, properties and classifications, are reviewed. In the case of atmospheric pressure plasma generation, basic information about technological gas composition, pressure, discharge type, electromagnetic field specification, electrode geometry, voltage supply systems, etc., are presented. For the phenomenon of superconductivity, attention is mainly paid to the interdependencies between Tc, magnetic flux density Bc and current density Jc parameters. Plasma technologies and superconductivity can offer innovative and energy-saving solutions for power engineering and environmental problems through decreasing the effects of energy production, conversion and distribution for the environment and by reductions in power losses and counteracting energy quality degradation. This paper presents an overview of the application of technologies using plasma and superconductivity phenomena in power engineering and in environmental protection processes. This review of plasma technologies, related to reductions in greenhouse gas emissions and the transformation and valorization of industrial waste for applications in energy and environmental engineering, is carried out. In particular, the most plasma-based approaches for carbon oxides, sulfur and nitrogen compounds removal are discussed. The most common plasma reactors used in fuel reforming technologies, such as dielectric barrier discharge, microwave discharge and gliding-arc discharge, are described. The advantages of solid waste treatment using plasma arc techniques are introduced. Applications of superconductors for energy generation, conversion and transmission can be divided into two main groups with respect to the conducted current (DC and AC) and into three groups with respect to the employed property (zero resistivity, ideal magnetism/flux trapping and quench transition). Among the superconductivity applications of electrical machines, devices for improving energy quality and storage and high field generation are described. An example that combines the phenomena of hot plasma and superconductivity is thermonuclear fusion. It is a hope for solving the world’s energy problems and for creating a virtually inexhaustible, sustainable and waste-free source of energy for many future generations.

A robust adaptive One Sample Ahead Preview controller for grid-injected currents of a grid-tied power converter with an LCL filter

This paper presents the development of a discrete-time Robust Adaptive One Sample Ahead Preview controller, based on the combination of a Robust Model Reference Adaptive Controller (RMRAC) with the One Sample Ahead Preview controller (OSAP), which is a particular case of the Deadbeat controller. This control structure is applied to grid-side current control of a grid-tied voltage-source inverter (VSI) with an LCL filter. The developed controller is robust enough to be designed considering the LCL filter as a first order model, which is commonly modelled as a third order transfer function, considering the neglected dynamics as unmodelled dynamics on controller design thanks to its adaptive identifier, which is a modified Gradient algorithm. Furthermore, the controller can deal properly with grid impedance uncertainties, which change the resonance peak frequency of the LCL filter, which affects the controller performance and can induce the closed-loop to instability, by incorporation of a majorant signal and the σ-function into the adaptive law, turning it robust. In addition, the predictive nature of the controller, which aims to regulate the current tracking in the minimum time possible (one sample) impacts straightforwardly in the reduction of harmonic distortion on grid-injected currents, improving energy quality, because the transient regime is reduced thanks to the fast dynamics of the adaptive predictive control strategy. To corroborate the controller’s performance and discuss its robustness, Hardware-in-the-Loop and experimental results using a grid-tied 5.5 kW VSI with an LCL filter are presented

Transformer Less Grid Connected PV System with Reduced THD

In this thesis, a single phase, one current phase of the inverter-based photovoltaic system for grid connection is proposed. The high power point is maintained by the Perturb & Observe Method, which is as simple as performance testing. Connecting the PV system to the grid converter is mandatory. Eliminating the system for making system light and simplification of inductor values are mandatory. To improve energy quality, system efficiency and reduce inductor size are proposed a double standard filter. These also to eliminate the harmonics of the second and fourth order at the inverter dc side. A modified heart rate switch based on the current source carrier network is proposed to magnetic dc-link inductor by reducing one leg switching bridge behind all active switching cycles. In this sense we have used the PV setting for the given measurements. The output of the same PV components connected to the current source converter. CSI contains modified Insulated Gate Bipolar Transistor (IGBT). The whole system simulates under two categories. One imitates High Value Inductor (Ldc) and the second is Low Value of Inductor (Ldc) with Double Tuned Resonant Filter.

Minimum Harmonic Distortion Losses and Power Quality Improvement of Grid Integration Photovoltaic-Wind Based Smart Grid Utilizing MOPSO

Increased usage of combined PV-Wind renewable energy sources is seen as a positive step toward reducing air pollution and carbon emissions. However, since non-linear loads have increased dramatically, voltage quality and harmonic distortion concerns have arisen, affecting the operation of combined PV-Wind RES and smart-grid electrical transmission structures. This study shows how a Shunt active power filter may improve energy quality in a microgrid structure at the distribution level. The major goal of this article is to find an appropriate controller approach for improving the shunt active power filter's compensating capacity. This paper simulates a PV-Wind hybrid renewable energy system that operates in the presence of unpredictably variable solar and wind energy resources. The objective is to allow the construction of an electrical control structure that produces the right duty cycle. It will aid in the regulation and stabilization of voltages at dc/dc energy conversion plant. Simulation is used to assess the proposed control system's ability to enhance power quality. The device's compensating capability is mostly determined by the DC link capacitor voltage control. The closed loop functioning of a proportional integral controller is used to attain this voltage regulation in the past. To increase the functioning of a shunt active power filter, the MOPSO procedure approach has been presented. The performance of suggested approaches and the comparison of different pulse generating strategies have been validated in the SIMULINK/MATLAB model environment. The suggested technology successfully improves power quality on the grid and maintains a steady voltage on the grid despite variations in RE output and load.

A novel adaptive voltage and current remittance strategy by series and shunt multilevel converters

A new, effective pi-based control method for a neutral 3-level inverter with a unified series and shunt converter is provided in this work. The proposed series of shunting and 3-levels can restrict harmonic current source and combat interruptions of voltage such as voltage drops, swells, imbalances and harmonics. With serial integration and shared DC bus capacitors, it is constructed with Active filters (AFs). With the proportional integrated voltage controller, the DC voltage is continually maintained. The Synchronous SRF theory is utilized to gather APF reference signals and power response theory (p-q theory). For the switching signal the shunt and series APF signal generated by the control algorithm and the observed signal was supplied into two controllers. In the management of the APF Series, PI approaches are employed to enhance capacities and shift 3-tier conversion devices. The power, power and voltage harmonics and any correction for any other voltage disturbance are assessed in the proposed 3 level range and shunt converter with the Matlab-Simulink Software and SimPower System Tool Box. The results of the simulation show the performance of the three-story series & shunt converter's non-linear load for improving energy quality at the sharing point.

Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things

Energy trading in Industrial Internet of Things (IIoT), a fundamental approach to realize Industry 4.0, plays a vital role in satisfying energy demands and optimizing system efficiency. Existing research works utilize a utility company to distribute energy to energy nodes with the help of energy brokers. Afterwards, they apply blockchain to provide transparency, immutability, and auditability of peer-to-peer (P2P) energy trading. However, their schemes are constructed on a weak security model and do not consider the cheating attack initiated by energy sellers. Such an attack refers to an energy seller refusing to transfer the negotiated energy to an energy purchaser who already paid money. In this article, we propose $\mathsf{FeneChain}$ , a blockchain-based energy trading scheme to supervise and manage the energy trading process toward building a secure energy trading system and improving energy quality for Industry 4.0. Specifically, we leverage anonymous authentication to protect user privacy, and we design a timed-commitments-based mechanism to guarantee the verifiable fairness during energy trading. Moreover, we utilize fine-grained access control for energy trading services. We also build a consortium blockchain among energy brokers to verify and record energy trading transactions. Finally, we formally analyze the security and privacy of $\mathsf{FeneChain}$ and evaluate its performance (i.e., computational costs and communication overhead) by implementing a prototype via a local Ethereum test network and Raspberry Pi.

Power Quality Issues on Distribution System : A Survey

Improving the quality of energy in distributed generation is a rapidly growing, challenging, and interesting area of modern times. In recent decades, a large number of techniques have been developed to improve energy quality. This article attempts to comprehensively examine a wide range of methods for improving power quality in distributed generation. This includes the use of active filters, Dynamic Voltage Restorer, DSTATCOM, reactive power compensation techniques, and an unmodified power quality conditioner. In this test, all of these methods are examined with power quality parameters such as reverse power flow, voltage stability, and current harmonics. This document describes energy quality problems and possible effects on the distribution system due to a grid-connected photovoltaic system.

Energy Quality: A Definition

In literature, variations and distortions, and interruptions of voltages (or voltage waveforms) and currents (or current waveforms) have been considered in the framework of power quality (or voltage quality). With the massive penetration of renewable energy into power systems, variations including fluctuations and intermittences of output powers of these renewable sources are of great concerns. It is evidenced that with the high penetration of renewable energy, variations of renewable energy have increased the costs of UK’s balancing markets by 39% in this spring and summer (NGESO, 2020). Therefore, there are needs to introduce a technical framework, namely, ‘energy quality’ to (a) define the quality of power waveforms; (b) propose measures/indices to characterize the variations (fluctuations and intermittences) of powers and power flows; (c) present methods to improve energy quality. Finally, research directions of energy quality are highlighted to encourage more R&D as well as international collaborations in terms of standards and grid code developments.

A Hybrid Active Filter Using the Backstepping Controller for Harmonic Current Compensation

This document presents a new hybrid combination of filters using passive and active elements because of the generalization in the use of non-linear loads that generate harmonics directly affecting the symmetry of energy transmission systems that influence the functioning of the electricity grid and, consequently, the deterioration of power quality. In this context, active power filters represent one of the best solutions for improving power quality and compensating harmonic currents to get a symmetrical waveform. In addition, given the importance and occupation of the transmission network, it is necessary to control the stability of the system. Traditionally, passive filters were used to improve energy quality, but they have endured problems such as resonance, fixed remuneration, etc. In order to mitigate these problems, a hybrid HAPF active power filter is proposed combining a parallel active filter and a passive filter controlled by a backstepping algorithm strategy. This control strategy is compared with two other methods, namely the classical PI control, and the fuzzy logic control in order to verify the effectiveness and the level of symmetry of the backstepping controller proposed for the HAPF. The proposed backstepping controller inspires the notion of stability in Lyapunov’s sense. This work is carried out to improve the performance of the HAPF by the backstepping command. It perfectly compensates the harmonics according to standards. The results of simulations performed under the Matlab/Simulink environment show the efficiency and robustness of the proposed backstepping controller applied on HAPF, compared to other control methods. The HAPF with the backstepping controller shows a significant decrease in the THD harmonic distortion rate.

Analysis of electricity quality parameters within installing reactive power compensators

The increase of the number of electronic devices connected to the AC power grid causes the increasing of the quantity of transient processes and the dynamic mode of consumed energy from the power grid. This problem increases reactive power energy generation that has a negative impact on power grid equipment and increases power loses when energy transporting to the consumers. Usually for decreasing reactive power reactive power compensations are used. Depend on reactive power type one of few common compensator types may be chosen for improving energy quality parameters especially power factor. In the paper cost and effectiveness of reactive power compensators are analyzed. Theoretical aspects of reactive power compensation are discussed. Electric power is separated on passive and active and requirements for compensator current based on energy quality parameters restrictions are proposed. Also effect of decreasing of a generator output power after reactive power compensation is taking to account. An electric energy analyzer as an effective tool for reactive power compensator type and power determining is proposed. The analyzer is manufactured and tested on few common loads. A simple algorithm for the compensator parameters calculation based on the analyzer data is developed. The power grid frequency deviation is taking to account during the calculations. The algorithm is implemented for common loads: linear reactive, non-linear reactive and reactive dynamic. A program software in MatLab is developed. An economic effect for different compensator and load types based on real compensators and generators prices is calculated. As result, for linear reactive load is more effective static synchronous compensator (STATCOM) with benefit 104.3 % per year, for reactive nonlinear load more appropriate to use active filter with benefit 17.9 % per year, for dynamic reactive load we can use dynamic compensator with benefit 44.7%. The developed program software and hardware device may be adopted for commercial use and implemented for improved compensator parameters calculation before its installation.