Computational Research Progress in Applied Science and Engineering
Editor-in-Chief: MR. MOHAMMAD NIKOOKAR
JOURNAL’S TRANSACTIONS (ISSN: 2423-4591)
CRPASE: Transactions of Electrical, Electronic and Computer Engineering CRPASE: Transactions of Civil and Environmental Engineering CRPASE: Transactions of Mechanical Engineering CRPASE: Transactions of Industrial Engineering CRPASE: Transactions of Applied Sciences
editor-in-chief comment
CRPASE journal has start publishing since 2015; Based on the high interest of followers of our scientific manuscripts and our expert contributors, from now onward CRPASE contains five transactions to make the scientific work more effective. Each transaction contains a specific type of information according to the field of interests of our followers and contributors.
The use of distributed generation resources, in addition to considerable benefits, causes some problems in the power system. One of the most critical problems in the case of disruption is increasing short-circuit current level in grids, which leads to change the protection devices settings in the downstream and upstream grid. By using fault current limiters (FCL), short-circuit currents in grids with distributed generation can be reduced to acceptable levels, so there is no needed to change the protection relays settings of the downstream grid (including distributed generations). However, by locating the FCL in the tie-feeder, the downstream grid is not more effective than the upstream grid and thus its reliability indices also will be changed. Therefore, this paper shows that by locating the unidirectional fault current limiter (UFCL) in the tie-feeder, the necessity of changing in the relay protection settings of upstream grids is prevented. In this paper, the proposed method is implemented, and its efficiency is reported in six scenarios.
Al-Saleh and Al-Kadiri first proposed double rank set sampling (DRSS). It seems that this ranked set sampling (RSS) modification can reduce the loss of RSS efficiency caused by ranking errors, and it is more effective than RSS and simple random sampling (SRS) to estimate the population mean. The proposed likelihood function is used to estimate the parameters of the three-Parameters Weibull distribution. Based on double ranked set sampling, extreme ranked set sampling, ranked set sampling (RSS) and simple random sampling (SRS) designs, the maximum likelihood estimator (MLE) is compared with the corresponding likelihood estimator. A simulation was carried out and the absolute relative biases, mean square error (MSE) and relative efficiency of different schemes were compared. It is found that, MSEs based SRS data has the largest MSEs comparing to RSS and its modifications schemes. This study revealed that DRSS technique has the superior over the rest of other sampling schemes. In almost all cases, DRSS has the smallest MSEs and largest efficiencies.
One of the biggest problems of the global world is environmental pollution. Much work is being done to prevent environmental pollution and expenditures are being made for this area. The use of biological molecules instead of physical and chemical methods for the removal of metals from industrial water is an alternative, economical and highly effective method. Metal tolerance and detoxification mechanisms in fungi, like many other microorganisms, with bioaccumulation ability to heavy metals, were quite a little knowledge. In this study, the relationship between lead (Pb) bioaccumulation and oxidative stress and antioxidant defenses of T. harzianum and P. chrysogenum was investigated. In order to determine the minimum heavy metal tolerance to lead in the first stage, PDA media containing lead at different concentrations were prepared and fungi growth. It has been observed that as the metal content in the medium increases, the number of fungi colonies developed decreases. Total antioxidant / oxidant levels were then measured, respectively, by TAS (Total Antioxidant Status) Assay Kit and TOS (Total Oxidant Status) Assay Kit and OSI (Oxidative Stress Index) values were calculated. Low OSI values (<0.4) suggest that T. harzianum and P. chrysogenum inhibits lead by tolerating lead.
The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits of using these distributed products, the location of installation and their capacity should be determined optimally in the distribution network. In this paper, in order to optimize the placement of solar panels and wind turbines in the distribution network with the aim of reducing losses and improving reliability based on Energy Not Supplied subscribers (ENS), a multi-objective evolutionary algorithm based on fuzzy decision method, called the Multi-Objective Hybrid Training Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) proposed that has a High optimization speed and not trapped at all in the optimal local. At first, the candidate buses are set for the installation of renewable resources using the Loss Sensitivity Factor (LSF). Then the proposed method is used to determine the location and optimal capacity of renewable resources through the candidate bases. Proposed issues have been implemented in a single-objective and multi-objective manner on a 33 bus IEEE radial distribution network. Also, in this paper, the effect of distributing renewable resources on the characteristics of the distribution network is evaluated. The results obtained from the proposed algorithm are compared with the results of other algorithms to demonstrate the superiority of the proposed method in reducing losses, improving reliability, and increasing the financial profit of the network. Simulation results show the better performance of the proposed method in comparison with Teaching–Learning Based Optimization (TLBO) and Grey Wolf Optimiser (GWO) methods and past studies to achieve optimal results. Also, the results show that distributing of the capacity and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.
Disasters are unforeseen situations that cause serious material losses and damages in addition to the dead and injured when they occur. Since disasters cannot be predicted in advance, it is of great importance to determine the work to be done in case of a disaster. The most important aspect of such studies is the development and examination of post-disaster search and rescue activities and treatment facilities. One of the most important issues to be considered while performing these operations is to reach the disaster victims in minimum time and to plan disaster logistics in the most efficient manner possible. In this study, the problem of planning debris scanning activities with Unmanned Aerial Vehicles after an earthquake and transporting the injured people to the hospitals by ambulances in minimum time was discussed and mathematical models were developed to solve the problem. The ambulance routing problem and the mathematical model to be used in the solution of the problem are discussed for the first time in the literature. The developed model was tested on the problem sets created by taking into account the data of the province under investigation. Analysis results showed that the developed model can reach optimal solutions in small and medium-sized problems, and as the size of the problem increases, it does not reach the optimal solution in a short time, but it can produce appropriate solutions.
The universal generating function (UGF) can be used for reliability calculation where the system variables are discrete random variables. In some cases, the possible values of the variables are not crisp values, which may be fuzzy. This paper regards the possible values of the system variables and the corresponding probability as triangular fuzzy numbers (TFNs), a fuzzy reliability method based on fuzzy universal generating function (FUGF) is proposed. The proposed method can deal with fuzzy reliability issues. A case study is presented to illustrate the proposed method. Through the comparison between the required reliability and the calculated value, whether the design scheme is feasible can be determined.
JOURNAL’S TRANSACTIONS (ISSN: 2423-4591)
CRPASE: Transactions of Electrical, Electronic and Computer Engineering
CRPASE: Transactions of Civil and Environmental Engineering
CRPASE: Transactions of Mechanical Engineering
CRPASE: Transactions of Industrial Engineering
CRPASE: Transactions of Applied Sciences
editor-in-chief comment
CRPASE journal has start publishing since 2015; Based on the high interest of followers of our scientific manuscripts and our expert contributors, from now onward CRPASE contains five transactions to make the scientific work more effective. Each transaction contains a specific type of information according to the field of interests of our followers and contributors.
The use of distributed generation resources, in addition to considerable benefits, causes some problems in the power system. One of the most critical problems in the case of disruption is increasing short-circuit current level in grids, which leads to change the protection devices settings in the downstream and upstream grid. By using fault current limiters (FCL), short-circuit currents in grids with distributed generation can be reduced to acceptable levels, so there is no needed to change the protection relays settings of the downstream grid (including distributed generations). However, by locating the FCL in the tie-feeder, the downstream grid is not more effective than the upstream grid and thus its reliability indices also will be changed. Therefore, this paper shows that by locating the unidirectional fault current limiter (UFCL) in the tie-feeder, the necessity of changing in the relay protection settings of upstream grids is prevented. In this paper, the proposed method is implemented, and its efficiency is reported in six scenarios.
Al-Saleh and Al-Kadiri first proposed double rank set sampling (DRSS). It seems that this ranked set sampling (RSS) modification can reduce the loss of RSS efficiency caused by ranking errors, and it is more effective than RSS and simple random sampling (SRS) to estimate the population mean. The proposed likelihood function is used to estimate the parameters of the three-Parameters Weibull distribution. Based on double ranked set sampling, extreme ranked set sampling, ranked set sampling (RSS) and simple random sampling (SRS) designs, the maximum likelihood estimator (MLE) is compared with the corresponding likelihood estimator. A simulation was carried out and the absolute relative biases, mean square error (MSE) and relative efficiency of different schemes were compared. It is found that, MSEs based SRS data has the largest MSEs comparing to RSS and its modifications schemes. This study revealed that DRSS technique has the superior over the rest of other sampling schemes. In almost all cases, DRSS has the smallest MSEs and largest efficiencies.
One of the biggest problems of the global world is environmental pollution. Much work is being done to prevent environmental pollution and expenditures are being made for this area. The use of biological molecules instead of physical and chemical methods for the removal of metals from industrial water is an alternative, economical and highly effective method. Metal tolerance and detoxification mechanisms in fungi, like many other microorganisms, with bioaccumulation ability to heavy metals, were quite a little knowledge. In this study, the relationship between lead (Pb) bioaccumulation and oxidative stress and antioxidant defenses of T. harzianum and P. chrysogenum was investigated. In order to determine the minimum heavy metal tolerance to lead in the first stage, PDA media containing lead at different concentrations were prepared and fungi growth. It has been observed that as the metal content in the medium increases, the number of fungi colonies developed decreases. Total antioxidant / oxidant levels were then measured, respectively, by TAS (Total Antioxidant Status) Assay Kit and TOS (Total Oxidant Status) Assay Kit and OSI (Oxidative Stress Index) values were calculated. Low OSI values (<0.4) suggest that T. harzianum and P. chrysogenum inhibits lead by tolerating lead.
The use of renewable solar and wind resources as distributed generation sources in distribution networks has been welcomed by network operators. In order to exploit the maximum benefits of using these distributed products, the location of installation and their capacity should be determined optimally in the distribution network. In this paper, in order to optimize the placement of solar panels and wind turbines in the distribution network with the aim of reducing losses and improving reliability based on Energy Not Supplied subscribers (ENS), a multi-objective evolutionary algorithm based on fuzzy decision method, called the Multi-Objective Hybrid Training Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) proposed that has a High optimization speed and not trapped at all in the optimal local. At first, the candidate buses are set for the installation of renewable resources using the Loss Sensitivity Factor (LSF). Then the proposed method is used to determine the location and optimal capacity of renewable resources through the candidate bases. Proposed issues have been implemented in a single-objective and multi-objective manner on a 33 bus IEEE radial distribution network. Also, in this paper, the effect of distributing renewable resources on the characteristics of the distribution network is evaluated. The results obtained from the proposed algorithm are compared with the results of other algorithms to demonstrate the superiority of the proposed method in reducing losses, improving reliability, and increasing the financial profit of the network. Simulation results show the better performance of the proposed method in comparison with Teaching–Learning Based Optimization (TLBO) and Grey Wolf Optimiser (GWO) methods and past studies to achieve optimal results. Also, the results show that distributing of the capacity and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.
Disasters are unforeseen situations that cause serious material losses and damages in addition to the dead and injured when they occur. Since disasters cannot be predicted in advance, it is of great importance to determine the work to be done in case of a disaster. The most important aspect of such studies is the development and examination of post-disaster search and rescue activities and treatment facilities. One of the most important issues to be considered while performing these operations is to reach the disaster victims in minimum time and to plan disaster logistics in the most efficient manner possible. In this study, the problem of planning debris scanning activities with Unmanned Aerial Vehicles after an earthquake and transporting the injured people to the hospitals by ambulances in minimum time was discussed and mathematical models were developed to solve the problem. The ambulance routing problem and the mathematical model to be used in the solution of the problem are discussed for the first time in the literature. The developed model was tested on the problem sets created by taking into account the data of the province under investigation. Analysis results showed that the developed model can reach optimal solutions in small and medium-sized problems, and as the size of the problem increases, it does not reach the optimal solution in a short time, but it can produce appropriate solutions.
The universal generating function (UGF) can be used for reliability calculation where the system variables are discrete random variables. In some cases, the possible values of the variables are not crisp values, which may be fuzzy. This paper regards the possible values of the system variables and the corresponding probability as triangular fuzzy numbers (TFNs), a fuzzy reliability method based on fuzzy universal generating function (FUGF) is proposed. The proposed method can deal with fuzzy reliability issues. A case study is presented to illustrate the proposed method. Through the comparison between the required reliability and the calculated value, whether the design scheme is feasible can be determined.