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:: Search published articles ::
Showing 21 results for Hosseini

Mr Farzam Nejabatkhah, Dr Seyed Hossein Hosseini, Mr Saeid Danyali,
Volume 1, Issue 1 (10-2012)
Abstract

In this paper, the methods of optimal electrical energy consumption and management are investigated, and their corresponding challenges are evaluated. In general, the optimization methods of electrical energy consumption can be classified into demand side management, the optimization of energy consumption in motors, power quality of electrical loads, and optimization of energy consumption in lightening. Each of these elements and challenges in general, has their own solutions, which are described in this paper. Moreover, in this paper, distributed generation (DG) is introduced as one of the main solution for optimizing electrical energy consumption. Local energy production by renewable-energy-based DGs, non-renewable-energy-based DGs, or hybrid DGS can decrease the transmission line losses and increase the system reliability. Furthermore, the injection of reactive power (correction of power factor) and compensation of system harmonics (like active filters) can be done by DGs. In order to evaluate the solutions which are illustrated in this paper, a grid connected hybrid PV/FC/Battery power system, which is connected to a local load, is simulated in this paper. In this system, not only the load active power is prepared by DG sources, but also the reactive power and system harmonics are compensated. In addition, high performance of power management section, and decreasing the output voltage and current THD can be obtained from simulation results.
Ali Shamsnia, Hossein Hosseini, Saeed Danyali,
Volume 1, Issue 2 (2-2013)
Abstract

In this paper a hybrid inverter with input energy sources of sun light and wind is proposed in which use of single inverter for both of the input sources, has reduced the cost and simplify the power circuit. Since P-V characteristics of PV cell and wind turbine are almost identical, MPPT algorithm has been employed for them both to absorb maximum power from these energy sources in different weather conditions. In addition, use of a new, combined MPPT algorithm for PV cells has solved problem of tracking MPP under low light conditions. DC-DC converters placed between the sources and a common DC link, make realization of the MPPT algorithms possible. In addition to presented parts, this system includes a backup hydrogen fuel cell. The hydrogen needed for this part is produced by a catalyzer when there is extra produced electrical energy than needed by load and at the case of fewer production than load demand, the stored hydrogen drives fuel cell to compensate shortage. Inverter of this system is a full bridge single-phase one driven by SPWM switching algorithm to regulate the output voltage under small load variations. Regulation of output voltage against larger load variations is obtained using fuel cell. Also, a new model for PV cell is proposed in this paper which imitates PV cell behavior much more closely than common current source model.
Gholamhossein Hosseininia, Ahmad Yaghoubi Farani, Saeid Afshar,
Volume 3, Issue 1 (9-2014)
Abstract

Abstract: The main purpose of this applied research was to determine and analysis environmental factors affecting technological entrepreneurship development in electric industry by using PESTLI technique. The main elements of this technique are: Political, Economic, Social, Technological, Legal and International factors. This research has been conducted through a surveying methodology by using the questionnaire. The statistical population of this study consists of 40 owners of non-governmental enterprises who generate electric energy in Distributed Generation systems. The statistical sample was considered the same as population. The research findings indicate that there was positive significant correlation between independent variables such political, economic, social, technological, legal and international factors and electric distributed generation as dependent variable. Also findings showed, economic factors have the most effect on entrepreneurship development in electric industry. After that, international, legal and policy factors have the most effect.
Sima Shahmohamadi, Dr Seyed Hossein Hosseini, Dr Ebrahim Babaei,
Volume 3, Issue 1 (9-2014)
Abstract

The operation of DC-AC converters in most of researches is considered ideal and balanced but in practical applications no ideal and unbalanced cases must be considered. For instance semiconductor switches of a converter may have differences with together or switching circuit in an inverter may be unbalanced. This unbalance can produce additional harmonics such as even harmonics. This additional harmonics can cause many problems. For precise investigation of these harmonics, a model of inverter based on switching function model is presented in this paper. With this model, analytical relations of harmonics in unbalanced condition are obtained. This model is simple but precisely can show the effect of unbalance in switching of inverters. Analytical results for harmonics in unbalanced conditions in inverter switching are examined by MATLAB and PSCAD softwares.
Morteza Ezzati, Seiyed Hossein Hosseinian, Ehsan Azad Faresani,
Volume 6, Issue 1 (9-2017)
Abstract

Considering to advantages of renewable energies as Distribution Generations, are applied so widely in all over of the world. In this paper is attempted to usage of these resources with power system to provide the consume power of electrical trains, but to reason of single phase power supply of electrical trains in 25 KV AC power systems and varying consuming power during time and distance, make power quality problems in upstream power systems. So purpose of paper is decrease of unbalance, cancel of current harmonics and achievement to unity power factor from upstream grid in spite of providing consume power of trains, these are achieved  by implement of  Instantaneous Power Theory on control of inverters interface Flexible Distribution Generation and  upstream grid.


Mr Arman Safaeei, Seyed Hossein Hosseinian, Hossein Askarian Abyaneh,
Volume 6, Issue 2 (3-2018)
Abstract

Using of DFIG-Based wind turbine in distribution network is increasing day by day. Despite different advantages of DFIG such as ease controllability, low cost and ability to work in different wind speeds, they are very sensitive to the grid voltage drop and when a fault occurs, the rotor current is increased and this may leads to damage the DFIG power electronics converters. Also, voltage swell caused by large loads switching off, large capacitor banks energizing and unbalanced faults may damage the DFIG converters. Dou to necessity of compliance of grid codes, a novel approach is proposed in this paper to improve the low voltage ride through (LVRT) and high voltage ride through (HVRT) capability of the DFIG in microgrid by using superconducting magnetic energy storage (SMES) and superconductive fault current limiter (SFCL), simultaneously. The simulation is carried out by using PSCAD/EMTDC software and the simulation resultsillustrate the effectiveness of proposed approach to improve fault ride through capability of DFIG in microgrid during voltage swell and voltage sag.


Dr Ehsan Azad Farsani, Hossein Bahramian, Amir Hosseini, Prof Hossein Askarian,
Volume 7, Issue 1 (9-2018)
Abstract

The presence of distributed generations (DGs) in the power systems is causing problems such as increasing the short circuit current levels which may exceed the rating of existing circuit breakers and can damage system equipment. The utilization of fault current limiters (FCLs) in the network can be an effective method to overcome the above problems. Furthermore, FCL has the benefits such as improving the system security and reliability. FCL benefits depend on the number, installation location, and impedance of FCL. For this end, we require a method to determine the optimum number, impedance and locations for FCL placement. In the considered method, we have modeled the FCL placement as an optimization problem while the objectives are; bus fault current difference, reliability, the number and impedance of FCLs. Moreover, to solve the proposed problem, a new multi-objective optimization algorithm based on particle swarm optimization has been implemented. In the algorithm, several iterations have been considered, and the non-dominated solutions are extracted and stored in an external repository in the iterations. Finally, a fuzzy clustering technique is used to control the size of the repository during the algorithm evolution. The proposed approach is tested on a test system, namely, RBTS 2 . The obtained results demonstrate the effectiveness and feasibility of the new method.


Dr Reza Eslami, Dr Hamed Nafisi, Dr Amir Hosseini,
Volume 8, Issue 1 (9-2019)
Abstract

Problems with the cost and pollution of fossil fuels have increased the incentive to operate on electric vehicles. However, the use of these vehicles is a challenge due to the additional loads which imposed on the power grid. Accordingly, a method has been proposed to improve the electrical parameters of the network including losses and voltage profiles by optimally managing the charge and discharge of plug in hybrid electric vehicles (PHEVs). The optimal management of the present paper involves the simultaneous management of active and reactive power of PHEVs. In order to implement the optimal management, in this paper, the probabilistic behavior of consumers and PHEVs are modeled on the factors affecting them. Regarding the multiplicity of factors considered and the non-convergence of the problem by conventional methods of optimization, a two-stage optimization method is proposed which provides the ability to achieve the desired goals by managing active and reactive power of PHEVs. The advantages of the proposed method can be to reduce the computational volume with respect to problem solving in each step of the time independently and thus reduce the optimization problem solving time. The proposed method is implemented by performing Monte Carlo repetitions on six power management scenarios implemented by GAMS and DIgSILENT software on real network of 20 kV distribution of Sirjan in Kerman province. The results of various scenarios show that the management of charge and discharge of PHEVs has smooth the voltage profile and reduced network losses. Therefore, using the proposed method, the additional loads imposed by the electric vehicle on the grid will not only increase the energy losses, but, with the proper management of the PHEVs, the network losses will be reduced compared to the absence of them.

 
Mr Behrooz Taheri, Dr Seyed Amir Hosseini, Dr Farzad Razavi,
Volume 8, Issue 1 (9-2019)
Abstract

Distance relays are widely used to protect transmission lines. Sometimes, in these lines due to the occurrence of the swing of the power, the impedance calculated in the distance relay enters into its functional zones and leads to the cutting off of the lines. This issue can cause global power outages. Accordingly, in this paper, a Clark-based method for detecting the swing of power and distinguishing it from simultaneous faults is presented. The proposed method operates based on the calculation of the average current signal in the Clark transform output. This method is independent of network parameters and it is capable of detecting various types of swings, including stable and unstable power fluctuations and all types of simultaneous faults. To evaluate the proposed method, different modes of power swing and simultaneous errors are simulated in DIgSILENT software and then using the matrix data obtained from the current signal, the proposed algorithm is implemented in the Matlab software using the Clark transform. In addition to software evaluation, the proposed method has been tested using a tester and relay made by the Vebko Amirkabir knowledge-based company. The results of the software and practical tests show the success of the proposed method in identifying the types of power swings. The results also show that the proposed method has a high speed in detecting simultaneous faults with power swings.
 


Amin Foroughi Nematollahi, Dr. Hamed Nafisi, Dr. Behrooz Vahidi, Dr. Seyyedamir Hosseini,
Volume 8, Issue 2 (12-2019)
Abstract

In this paper, a microgrid including a solar panel, a battery energy storage system and a diesel generator as the backup source are optimally is designed. The microgrid is considered as a part of a distribution network, that could be considered as local area. As microgrids can operate in grid-connected mode, the proposed algorithm investigates the minimization of the distribution network power loss, the amount of imported power from the utility and the curtailed load in case of emergency. The main purpose of the proposed algorithm is to minimize the overall investment, replacement and operation and maintenance costs for a microgrid. This article suggests a Lightning Attachment Procedure Optimization Algorithm to optimally design the problem of sitting and scheduling of microgrids in distribution systems. Both problems are solved simultaneously. The proposed approach is applied on 33-bus test system, and the results are discussed. Fast convergence, best global answer finding, and robustness are the characteristics of the proposed method, which are concluded from the results and discussion.
Dr Seyed Sharafoddin Hosseini,
Volume 9, Issue 1 (3-2020)
Abstract

Transformer oil is one of the most important materials which are used in electrical and transformer industrial. The main function is protection and insulation of transformer core components, as well as heat transfer from its core to environment. Improving the performance of this material has been one of the researchers' concerns. The effect of different nanoparticle on the electrical breakdown voltage and heat transfer of this oil is investigated in this research. The nanofluids have made by various six nanoparticles suspended in base transformer oil. New suspension is tested under the ultrasonic condition. Thermal investigation also carried out by KD2 instrument. Electrical mode analyzed by Breakdown voltage meter. The experiments carried out in tow temperature 25oC and 55oC. Results show that, using Nano particles in transformer oil causes improve heat transfer and decrease Electrical breakdown Voltage, respectively. Diamond nanofluid showed the best result as 83% enhancement in thermal conductivity
Seyed Mahdi Hosseini Jebelli, Mahdi Banejad, Ali Dastfan, Alireza Alfi,
Volume 9, Issue 4 (11-2020)
Abstract

In order to solve the problem of voltage drop and voltage imbalance in the distribution systems, the injection of reactive power by multiple static compensators is used. The distributed generation such as photovoltaic systems could play a role of the static compensators by producing reactive power. In this paper, the integral to droop line algorithm is used to control the reactive power in busbars. The droop coefficient and integral gain are important parameters in this algorithm. The determination process of these coefficients is modeled as a nonlinear and multi-objective optimization problem. The objective function in this problem is defined to establish a tradeoff between the voltage deviation and voltage unbalanced factor considering stability condition, in which the salp swarm optimization algorithm is used to solve the problem. The above problem is solved by three other optimization algorithms, which the salp algorithm has a better performance than the three algorithms. Applying the obtained optimal gain coefficients to the compensators, not only the voltage profile is improved but also the voltage unbalanced factor is reduced. The proposed method is simulated on the IEEE-34 Node test feeder. To evaluate the stability of the system, the eigenvalue analysis is used. The results show the validity of the proposed method on the system stability.
Seyed Ali Hosseini, Dr Mehrdad Hojjat, Dr Azita Azarfar,
Volume 10, Issue 2 (7-2021)
Abstract

Demand-side response in residential homes is responsible for significant changes in their electricity consumption patterns. Such systems are implemented to shift the load from peak hours to off-peak hours. This approach not only reduces the costs of consumer’s energy bills but also brings about many benefits such as postponing power system planning investments, improving network reliability, reducing unexpected outages, and so on. This paper introduces a new structure for managing the electrical energy consumption of residential homes via power aggregation by considering the consumers’ priorities in a microgrid. In this situation, the performance priorities of the controllable types of equipment are first sent along with the consumption information of the total electrical equipment to the power aggregator unit through a smart meter. After gathering all information from customers, scheduling is done by a power aggregator in which network constraints are considered. Finally, management programs are sent as a series of binary codes directly from the aggregator to the smart sockets with the help of the Internet of things (IoT) infrastructure. In fact, in this project, there is no need to use home energy management systems (HEMSs) for residential homes, and only smart meters are employed to send information. In this method, information is sent directly from the central control unit to the smart sockets using the IoT technology and the process of information by another separate unit is not needed. In other words, consumption planning for all consumer’s controllable devices is coordinated from the power aggregation’s point of view to minimize the energy cost of all consumers by taking the constraints of the distribution network and all consumption priorities into account. In this project, an IEEE standard 15-bus microgrid with 50 households (with the average consumption pattern of a 4-person household for 3 months) is used. For each family, there are 12 electrical devices, in which two of them (dishwasher and washing machine) are considered as controllable appliances, and all planning programs are done for scheduling their operating time. The time horizon is considered 24 hours consisting of 15-min time-steps. To better understand the results in different working conditions, six different scenarios are defined in this regard and the results are compared with each other. Finally, according to the simulation results based on the time of use (TOU) tariff defined for 2019 in Iran, it can be realized that by planning the consumption of controllable types of equipment, 42.1% of peak-load duration cost and 21.8% of the total cost of electricity consumption is saved.
Ms Monireh Ahmadi, Dr Seyed Hossein Hosseini, Dr Murtaza Farsadi,
Volume 10, Issue 3 (10-2021)
Abstract

Charging stations are one of the most important pieces of equipment for electric vehicles (EV). One of the most important challenges of charging stations is their optimal location, which practically puts the operation of the system components in the maximum area. Distribution networks are the final link in the electricity supply chain for consumers. Therefore, the economic and technical efficiency of these networks guarantees a stable and secure future in the electricity industry. In this regard, it is very important to study the role of EVstations. This paper investigates, the optimal location of charging and discharging stations and the optimal operation planning of Evs in a distribution network. The effective factors in choosing the location and the optimal charging and discharging rate in the stations are a combination of technical and economic issues. Regarding technical issues, the minimization of losses, the minimization of voltage drop in feeders and the uniformity of the network load curve were considered. In the economic field, the stations were located and the charging and discharging rates were determined in such a way that the charge and discharge costs in the stations and the total cost paid for the purchase of power were minimized as much as possible. In order To manage the load on the consumer side and to unify the load curve, the price-based demand response program was considered and implemented in the simulations.To find the optimal working point, genetic metaheuristic algorithms, genetic combination-particle swarm and genetic combination-colonial competition were used. All simulations were performed in MATLAB software To evaluate the proposed methods, validation was performed in each part on the IEEE standard testing system with a bus number of 69.
Saeed Shahimoridi, Seyed Hamed Moosavirad, Mitra Mirhosseini, Hossein Nikpour,
Volume 10, Issue 3 (10-2021)
Abstract

From the viewpoint of electricity distribution companies, electricity losses are the difference between the delivered energy and the output energy, or in other words, the difference between the energy purchased and the energy sold. Electricity statistics in Iran show a share of about 23 percent of electricity losses, half of which are related to the distribution network. Electricity distribution losses fall into two categories: technical losses and non-technical losses. Technical losses are the part of the losses that occur due to the nature of the equipment in the distribution network. In contrast, non-technical losses are the total loss of electricity that is not due to the electrical nature of the network. Due to the importance of different types of electricity losses, a lot of research has been done in this field in order to reduce these losses as much as possible. However, little research has been conducted on prioritizing waste reduction strategies. Electricity losses in Jiroft City, Kerman province are a concern for Southern Kerman Power Distribution Company as they lead to financial losses and reduce the company’s revenue. According to the received statistics, the energy delivered to this city in 2018 was 1005 million kilowatts, while the sales of the company in this city was 854 million kilowatts. Therefore, the amount of electricity losses in this city is 141 million kilowatts, which is equal to 15% of the delivered energy. Therefore, this company needs to prioritize these factors in order to focus and address the main causes of losses in this city. As a result, this study aims to prioritize the causes of electricity losses in Jiroft City. In this paper, by using previous research and interviews with experts in this field, the main criteria involved in decision making were identified, and they were then were weighted using analytical hierarchical process method. Then, the causes of power losses were identified using the documents of the company, and the effective factors were prioritized according to the weighted criteria using the TOPSIS method. The results showed that, in Jiroft City, among the factors of technical losses, the losses of meters and measuring devices and the losses due to the unbalanced load in phases and single-phase distribution of low pressure were in the first and second priority, respectively. Unauthorized use of electricity in hidden manner was also recognized as the most important cause of non-technical losses in this case study.
Mr Hamzeh Eisazadeh, Dr Maziar Mirhosseini Moghaddam, Dr Behnam Alizadeh,
Volume 10, Issue 4 (1-2022)
Abstract

 New power systems based on virtual power plants (VPPs) will expand in the future, so it is of crucial importance for system operators to analyze the frequency behavior of these systems compared to current systems in the field of disruptions. In this paper, the equations of the frequency response model of conventional power systems are expanded by considering VPPs and their effective components, and a new model is presented for the frequency response of large power systems based on VPPs. To analyze the frequency behavior of the network, different scenarios are studied on a sample network. To cover the possible situations of the future network, several VPP models with different specifications are considered from the perspective of frequency responsiveness. The simulation results indicate the necessity of using frequency responsive devices in future power networks that are based on VPP.
Dr Seyed Amir Hosseini, Mr Behrooz Taheri,
Volume 11, Issue 1 (4-2022)
Abstract

Low impedance differential relays are widely used in the protection systems of power transformers. While being highly reliable, differential relays can misidentify the inrush currents generated during the switching of power transformers as faults and issue a tripping command when one is not needed. Therefore, these protection systems need a mechanism to differentiate between inrush currents and faults in order to prevent unnecessary activation. Accordingly, this paper presents a new method based on a group method of data handling (GMDH) neural network for differentiating faults from inrush currents. The proposed method can quickly detect a wide variety of faults that may occur simultaneously with inrush currents and is perfectly noise-resistant. The proposed method is compared with the conventional methods used in the industry, namely second harmonic and zero-crossing methods. The results demonstrate the ability of the proposed method to outperform conventional methods under a wide variety of operating conditions.


Mohammad Daisy, Mahmood Hosseini Aliabadi, Shahram Javadi, Hassan Meyar Naimi,
Volume 12, Issue 1 (4-2023)
Abstract

Nowadays, renewable energy is increasingly used in smart grids and microgrids to reduce the use of fossil fuels and improve network efficiency. Like all power system devices, microgrids are subject to transient and steady-state faults, such as short circuits. These faults impair reliability and consumer dissatisfaction. To accurately, automatically, and economically determine the location of a fault, a robust fault location method is needed to stabilize and repair the damaged part of the network. Given the access to the data of all nodes, the fault in these networks can be located based on the data on the two terminals. Accordingly, this paper proposes a method for determining fault distance and faulty section in the island and grid-connected microgrids. The proposed method uses distributed parameters line model and calculates the location of double-phase faults in the microgrid based on voltage and current data on both sides of each section, taking renewable energies and electric vehicles into account. At first, the measurement devices receive and store the current and voltage data at the beginning and end of each section. If a fault occurs, the fault distance is determined by calculating the difference between voltages and currents on both sides of the fault. According to the sampling rate, many voltage and current samples are obtained during the fault. The proposed method calculates a fault distance for each sample. As a result, many fault distances are obtained. These calculations are done for all sections. In the next step, the distances obtained for each section are plotted on the coordinate axis, and a curve is obtained for each section. Among the curves obtained, one curve has a global minimum, which indicates the faulty section. Other curves are ascending or descending. In addition, the global minimum point indicates the calculated distance of the fault from the beginning of the section. This method is not sensitive to electric vehicle models and distributed generation sources and uses only less than half-cycle data to execute the algorithm. The performance of the method is investigated with the simulation of a 9-bus microgrid in MATLAB/SIMULINK. The effects of changes in line parameters (two scenarios), different fault locations, fault resistance (0, 25, and 50 Ω), fault inception angles (36, 90, 180, and 270 degrees), different DGs operation modes (three scenarios), and measurements error (±3%) are studied. The maximum and minimum errors of this method are obtained to be 0.97% and 0.02%, respectively. The results indicate the high accuracy of the proposed method compared to other fault location methods.
 


Seyed Ali Hosseini Kordkheili, Ali Ghasemi Marzbali,
Volume 12, Issue 2 (8-2023)
Abstract

The problem of determining the optimal capacity and location of distributed generation resources is one of the important topics in the design and operation of power systems. To address this issue, this paper proposes a multi-objective developed model for optimal allocation of solar resources in radial distribution systems based on objective functions such as improving voltage profile, reducing losses, and maximizing penetration level. The optimal values, in other words, the capacity of solar resources to meet the optimal voltage profile and minimize losses under high penetration levels of these resources, have been obtained. Since these objectives are conflicting, a multi-objective developed algorithm called Gray Wolf Optimizer has been proposed to solve them simultaneously. Compared to other multi-objective problem-solving methods, the proposed Gray Wolf Optimizer demonstrates a high capability in solving multi-objective problems and finding Pareto fronts, while avoiding local optima. Additionally, in order to enhance the capabilities of the Gray Wolf Optimizer, a social hierarchy-based modified method has been employed to reduce solution time and improve the allocation matrix. Finally, the proposed method and the intended model have been evaluated on a standard system under various operating conditions. The obtained results show that the proposed method has been able to maintain an acceptable voltage profile and significantly reduce losses compared to other multi-objective algorithms. For low to medium penetration levels, losses tend to decrease until reaching a minimum value, and for penetration levels above 100%, losses increase. Furthermore, at a penetration level of 300%, the efficiency of the system has improved by about 12% in terms of voltage profile using the optimal allocation, indicating the excellent efficiency of the proposed method even at high penetration levels. Additionally, it has been demonstrated that in comparison to other multi-objective optimization methods, the proposed method has performed well in terms of the inverted generational distance parameter.
 


Mohammad Reza Semsar, Seyed Mohammad Hassan Hosseini, Seyed Babak Mozaffari, Seyed Ebrahim Afjei,
Volume 12, Issue 3 (10-2023)
Abstract

Given the significant power generation and consumption of variable-speed pumped storage power plants (VSPSPs), it is crucial to enhance drive methods and decrease drive losses, thereby increasing productivity. This paper proposes the topology for VSPSP drivers with two level voltage source converters (2LVSC) with 6+1 converters. Hydraulic and electrical VSPSP models are presented, following which VSPSP driver is introduced. Likewise, drive switching and control method is described and 2LVSC (6+1) is introduced. Subsequently, VSPSP drivers with 6+1 modules are proposed as a novel topology. The thermal loss model of the driver is subsequently introduced and the thermal losses of one driver are simulated and evaluated. The simulation results demonstrate that the driver with 2LVSC (6+1) based on a direct torque and flux control (DTFC) scheme as a VSPSP driver results in decreased ‌Mean Time to Between Failure (MTBF) and enhanced the speed of the repairing and maintenance in driver and VSP. Presented thermal model is shows the temperature of the driver stabilizes during the entire duty cycle. Eventually, the outputs of this project is simulated in MATLAB 2021/Plexim software and are validated and verified using the sample of variable-speed wind power plant (VSWP) with 2.2KW.
 



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نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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