2015
22
6
6
0
A hierarchical parallel strategy for aerodynamic shape optimization with genetic algorithm
A hierarchical parallel strategy for aerodynamic shape optimization with genetic algorithm
2
2
An ecient parallel strategy is presented for optimization of the aerodynamic shapes using Genetic Algorithm (GA). The method is a hybrid Parallel Genetic Algorithm (PGA) that combines a multi-population PGA and master-slave PGA using Message Passing Interface. GA parameters are rstly tuned according to the fact that subpopulations evolve independently. The eect of the number of sub-population on the computational time is investigated. Finally, a new strategy is presented based on the load balancing that aims to decrease the idle time of the processors. The algorithm is used for optimization of a transonic airfoil. An unstructured grid nite volume ow solver is utilized for objective function evaluations. For the considered class of problems, the suggested Hierarchical Parallel Genetic Algorithm (HPGA) results in more than 30% reduction in optimization time in comparison to regular master-slave PGA. A semi-liner speed-up is also obtained which indicates that the model is suited for modern cluster work stations.
1
An ecient parallel strategy is presented for optimization of the aerodynamic shapes using Genetic Algorithm (GA). The method is a hybrid Parallel Genetic Algorithm (PGA) that combines a multi-population PGA and master-slave PGA using Message Passing Interface. GA parameters are rstly tuned according to the fact that subpopulations evolve independently. The eect of the number of sub-population on the computational time is investigated. Finally, a new strategy is presented based on the load balancing that aims to decrease the idle time of the processors. The algorithm is used for optimization of a transonic airfoil. An unstructured grid nite volume ow solver is utilized for objective function evaluations. For the considered class of problems, the suggested Hierarchical Parallel Genetic Algorithm (HPGA) results in more than 30% reduction in optimization time in comparison to regular master-slave PGA. A semi-liner speed-up is also obtained which indicates that the model is suited for modern cluster work stations.
2379
2388
M.
Ebrahimi
M.
Ebrahimi
Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran.
Department of Aerospace Engineering, Amirkabir
Iran
A.
Jahangirian
A.
Jahangirian
Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Aerospace Engineering, Amirkabir
Iran
ajahan@aut.ac.ir
Parallelization
Aerodynamic shape optimization
Computational Fluid dynamics
Genetic algorithm
Detection of Fast-Flux Botnets Through DNS Traffic Analysis
Detection of Fast-Flux Botnets Through DNS Traffic Analysis
2
2
Botnets are networks build up of a large number of bot computers which provide the attacker with massive resources such as bandwidth, storage, and processing power. In turn allowing the attacker to launch massive attacks such as Distributed Denial of Service (DoS) attacks, or undertake spamming or phishing campaigns. One of the main approaches for botnet detection is based on monitoring and analyzing DNS query/responses in the network, where botnets make their detection more difficult by using techniques such as fast-fluxing. Moreover, the main challenge in detecting fast-flux botnets arises from their similar behavior with that of legitimate networks, such as CDNs, which employ a round-robin DNS technique. In this paper, we propose a new system to detect fastflux botnets by passive DNS monitoring. The proposed system first filters out domains seen in historical DNS traces assuming that they are benign. We believe this assumption to be valid as benign domains usually have longer life time when compared to botnet domains, which are usually short lived. Hence CDN domains which are the main cause of miss-classification, when looking for malicious fast-flux domains, are removed. Afterwards, a few simple features are calculated to help in properly categorizing the domains in question as either benign or botnet related. The proposed system is evaluated by employing DNS traces from our campus network and encouraging evaluation results are obtained.
1
Botnets are networks build up of a large number of bot computers which provide the attacker with massive resources such as bandwidth, storage, and processing power. In turn allowing the attacker to launch massive attacks such as Distributed Denial of Service (DoS) attacks, or undertake spamming or phishing campaigns. One of the main approaches for botnet detection is based on monitoring and analyzing DNS query/responses in the network, where botnets make their detection more difficult by using techniques such as fast-fluxing. Moreover, the main challenge in detecting fast-flux botnets arises from their similar behavior with that of legitimate networks, such as CDNs, which employ a round-robin DNS technique. In this paper, we propose a new system to detect fastflux botnets by passive DNS monitoring. The proposed system first filters out domains seen in historical DNS traces assuming that they are benign. We believe this assumption to be valid as benign domains usually have longer life time when compared to botnet domains, which are usually short lived. Hence CDN domains which are the main cause of miss-classification, when looking for malicious fast-flux domains, are removed. Afterwards, a few simple features are calculated to help in properly categorizing the domains in question as either benign or botnet related. The proposed system is evaluated by employing DNS traces from our campus network and encouraging evaluation results are obtained.
2389
2400
Elahe
Soltanaghaei
Elahe
Soltanaghaei
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Department of Computer Engineering, Sharif
Iran
Mehdi
Kharrazi
Mehdi
Kharrazi
Department of Computer Engineering, room 609, Sharif University of Technology, Tehran, Iran
Department of Computer Engineering, room
Iran
botnets
BOT
C&C channel
fast-flux
IPflux
DNS server
Low cost circuit-level soft error mitigation techniques for combinational logic
Low cost circuit-level soft error mitigation techniques for combinational logic
2
2
Following technology scaling trend, CMOS circuits are facing more reliability challenges such as soft errors caused by radiation. Soft error protection imposes some design overheads in power consumption, area, and performance. In this article, we propose a low cost and highly eective circuit to lter out the eect of particle strikes in combinational logic. This circuit will result in decreasing Soft Error Propagation Probability (SEPP) in combinational logic. In addition, we propose a novel transistor sizing technique that reduces cost-eciently Soft Error Occurrence Rate (SEOR) in the combinational logic. This technique generally results in lower design overhead as compared with previous similar techniques. In the simulations run on dierent ISCAS'89 circuit benchmarks, combining the proposed techniques, we achieved up to 70% SER reduction in the overall soft error rate of the circuits for a certain allowed overhead budget.
1
Following technology scaling trend, CMOS circuits are facing more reliability challenges such as soft errors caused by radiation. Soft error protection imposes some design overheads in power consumption, area, and performance. In this article, we propose a low cost and highly eective circuit to lter out the eect of particle strikes in combinational logic. This circuit will result in decreasing Soft Error Propagation Probability (SEPP) in combinational logic. In addition, we propose a novel transistor sizing technique that reduces cost-eciently Soft Error Occurrence Rate (SEOR) in the combinational logic. This technique generally results in lower design overhead as compared with previous similar techniques. In the simulations run on dierent ISCAS'89 circuit benchmarks, combining the proposed techniques, we achieved up to 70% SER reduction in the overall soft error rate of the circuits for a certain allowed overhead budget.
2401
2414
R.
Rajaei
R.
Rajaei
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
Department of Electrical Engineering, Sharif
Iran
M.
Tabandeh
M.
Tabandeh
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Department of Electrical Engineering, Sharif
Iran
M.
Fazeli
M.
Fazeli
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Department of Computer Engineering, Iran
Iran
Soft Error (SE)
Single Event Transient (SET)
Multiple Event Transient (MET)
Single Event Upset (SEU)
Single Event Multiple Upset (SEMU)
Single Event Multiple Transient (SEMT)
A less conservative criterion for stability analysis of linear systems with time-varying delay
A less conservative criterion for stability analysis of linear systems with time-varying delay
2
2
This paper investigates the problem of stability analysis for linear systems with time-varying delay. To reduce the conservativeness of sucient stability conditions, a novel augmented Lyapunov-Krasovskii Functional (LKF) which includes quadratic terms of double-integral phrases is introduced; as well, the technique of free-weighting matrices with new slack variables is employed; moreover, a tighter integral inequality is derived for bounding the cross-product terms in the derivative of chosen LKF. Numerical examples are presented to illustrate the superiority of the proposed method compared to some of the previously developed approaches.
1
This paper investigates the problem of stability analysis for linear systems with time-varying delay. To reduce the conservativeness of sucient stability conditions, a novel augmented Lyapunov-Krasovskii Functional (LKF) which includes quadratic terms of double-integral phrases is introduced; as well, the technique of free-weighting matrices with new slack variables is employed; moreover, a tighter integral inequality is derived for bounding the cross-product terms in the derivative of chosen LKF. Numerical examples are presented to illustrate the superiority of the proposed method compared to some of the previously developed approaches.
2415
2423
A.
Farnam
A.
Farnam
SYSTeMS Research Group, Ghent University, Ghent, Belgium.
SYSTeMS Research Group, Ghent University,
Iran
R.
Mahboobi Esfanjani
R.
Mahboobi Esfanjani
Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
Department of Electrical Engineering, Sahand
Iran
M.
Farsi
M.
Farsi
Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
Department of Electrical Engineering, Sahand
Iran
stability analysis
Interval time-varying delay
Linear Matrix Inequalities (LMIs)
Maximum Allowable Delay Bound (MADB)
A new complex-valued method and its applications in solving differential equations
A new complex-valued method and its applications in solving differential equations
2
2
In this letter, complex operational matrices of Euler functions and their interesting properties are obtained to provide a novel method for solving linear complex differential equations under mixed initial conditions. Convergence conditions of this method are studied in depth and numerical experiments show the efficiency of this method. In addition, reasonable numerical results are obtained by selecting small number of basis functions.
1
In this letter, complex operational matrices of Euler functions and their interesting properties are obtained to provide a novel method for solving linear complex differential equations under mixed initial conditions. Convergence conditions of this method are studied in depth and numerical experiments show the efficiency of this method. In addition, reasonable numerical results are obtained by selecting small number of basis functions.
2424
2431
Farshid
Mirzaee
Farshid
Mirzaee
Faculty of Mathematical Sciences and Statistics, Malayer University, P. O. Box 65719-95863, Malayer, Iran
Faculty of Mathematical Sciences and Statistics,
Iran
f.mirzaee@malayeru.ac.ir
Saeed
Bimesl
Saeed
Bimesl
Faculty of Mathematical Sciences and Statistics, Malayer University, P. O. Box 65719-95863, Malayer, Iran
Faculty of Mathematical Sciences and Statistics,
Iran
saeed.bimesl@stu.malayeru.ac.ir
Emran
Tohidi
Emran
Tohidi
Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Young Researchers and Elite Club, Mashhad
Iran
emrantohidi@gmail.com
Complex equations
Convergence
Matrix equation
Error
Multi-objective Optimal Location of Optimal Unified Power Flow Controller (OUPFC) through a Fuzzy Interactive Method
Multi-objective Optimal Location of Optimal Unified Power Flow Controller (OUPFC) through a Fuzzy Interactive Method
2
2
This paper presents a fuzzy interactive approach to find the optimal location of Optimal Unified Power Flow Controller (OUPFC) device as a multi-objective optimization problem. The problem formulation is based on Optimal Power Flow (OPF) problem while the metric function and weighting method are added to ensure the collaboration among objective functions. The objective functions are the total fuel cost, power losses and system loadability with and without minimum cost of OUPFC installation. The proposed algorithm is implemented on IEEE 14-, and 118-bus systems. The solution procedure uses nonlinear programming with discontinuous derivatives (DNLP) to solve the optimal location and settings of OUPFC device to enable power system dispatcher to improve the power system operation. The optimization problem is modeled in General Algebraic Modelling System (GAMS) software using CONOPT solver. Furthermore, the results obtained by OUPFC are compared to that of Unified Power Flow Controller (UPFC) device. The OUPFC is outperformed by UPFC in the power system operation from economic and technical point of view.
1
This paper presents a fuzzy interactive approach to find the optimal location of Optimal Unified Power Flow Controller (OUPFC) device as a multi-objective optimization problem. The problem formulation is based on Optimal Power Flow (OPF) problem while the metric function and weighting method are added to ensure the collaboration among objective functions. The objective functions are the total fuel cost, power losses and system loadability with and without minimum cost of OUPFC installation. The proposed algorithm is implemented on IEEE 14-, and 118-bus systems. The solution procedure uses nonlinear programming with discontinuous derivatives (DNLP) to solve the optimal location and settings of OUPFC device to enable power system dispatcher to improve the power system operation. The optimization problem is modeled in General Algebraic Modelling System (GAMS) software using CONOPT solver. Furthermore, the results obtained by OUPFC are compared to that of Unified Power Flow Controller (UPFC) device. The OUPFC is outperformed by UPFC in the power system operation from economic and technical point of view.
2432
2446
A.
Lashkar Ara
A.
Lashkar Ara
aDepartment of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
aDepartment of Electrical Engineering, Dezful
Iran
lashkarara@iust.ac.ir
M.
Shabani
M.
Shabani
aDepartment of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
aDepartment of Electrical Engineering, Dezful
Iran
S.A.
Nabavi Niaki
S.A.
Nabavi Niaki
bDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5 S 3G4, Canada
bDepartment of Electrical and Computer Engineering
Iran
OUPFC
UPFC
FACTS
optimal location
Multi-objective
Fuzzy interactive method
New HCI and TDDB sensors based on transition time monitoring
New HCI and TDDB sensors based on transition time monitoring
2
2
A new on-chip HCI sensor based on measurement of fall transition time dierence due to HCI between a stressed and reference inverter is proposed that has very small resolution while output has high correlation with HCI eect. Based on this new idea, a novel TDDB sensor is also proposed that is capable to detect both soft and hard breakdowns while it has low area overhead and high sensitivity. Dierential structure of both sensors eliminates the eect of common-mode environmental variation, such as temperature. 180 nm TSMC technology and 65 nm of PTM are used for simulation. Analysis conrms HCI and TDDB sensor performances with 17% and 15% errors, respectively, in comparison with simulation results. The implemented layout area of both sensors is...
1
A new on-chip HCI sensor based on measurement of fall transition time dierence due to HCI between a stressed and reference inverter is proposed that has very small resolution while output has high correlation with HCI eect. Based on this new idea, a novel TDDB sensor is also proposed that is capable to detect both soft and hard breakdowns while it has low area overhead and high sensitivity. Dierential structure of both sensors eliminates the eect of common-mode environmental variation, such as temperature. 180 nm TSMC technology and 65 nm of PTM are used for simulation. Analysis conrms HCI and TDDB sensor performances with 17% and 15% errors, respectively, in comparison with simulation results. The implemented layout area of both sensors is ......
2447
2456
Zh.
Amini-sheshdeh
Zh.
Amini-sheshdeh
Faculty of Engineering, Alzahra University, Tehran, P.O. Box 1993893- 973, Iran.
Faculty of Engineering, Alzahra University,
Iran
zh.amini@modares.ac.ir
A.
Nabavi
A.
Nabavi
Faculty of Electrical & Computer Engineering, Tarbiat Modares University, Tehran, P.O. Box 14115-143, Iran
Faculty of Electrical & Computer Engineering,
Iran
TDDB
HCI
Sensor
Fall
Transition
Opposition Based Gravitational Search Algorithm for Synthesis Circular and Concentric Circular Antenna Arrays
Opposition Based Gravitational Search Algorithm for Synthesis Circular and Concentric Circular Antenna Arrays
2
2
In this paper a population based evolutionary optimization methodology called Opposition-based Gravitational Search Algorithm (OGSA) is applied for optimal designs of three non-uniform single-ring circular antenna array (CAA) of set 8, 10 and 12 elements and non-uniform 3-ring concentric circular antenna array (CCAA). Two 3-ring concentric circular antenna array having set of 4-, 6-, 8-, elements and 8-, 10-, 12- elements with and without center element are considered. The algorithm is used to determine an optimal set of current excitation weights and antenna inter-element separations for circular antenna array of 8, 10 and 12 elements and optimal current excitation weights for CCAA, respectively. OGSA provides optimal radiation pattern with maximum side lobe level (SLL) reduction and first null beamwidth (FNBW) reduction with improved directivity for CAA and maximum reduction of SLL for CCAA, respectively. OGSA is developed on the primary foundation of Gravitational Search Algorithm (GSA) blended with the concept of opposition based approach. Simulation results show a considerable improvement of radiation pattern with respect to the corresponding uniform cases of both the types of antenna array and those of some recent literature reported in this paper. Finally, comparison of accuracies of the proposed algorithm is performed by t-test calculation.
1
In this paper a population based evolutionary optimization methodology called Opposition-based Gravitational Search Algorithm (OGSA) is applied for optimal designs of three non-uniform single-ring circular antenna array (CAA) of set 8, 10 and 12 elements and non-uniform 3-ring concentric circular antenna array (CCAA). Two 3-ring concentric circular antenna array having set of 4-, 6-, 8-, elements and 8-, 10-, 12- elements with and without center element are considered. The algorithm is used to determine an optimal set of current excitation weights and antenna inter-element separations for circular antenna array of 8, 10 and 12 elements and optimal current excitation weights for CCAA, respectively. OGSA provides optimal radiation pattern with maximum side lobe level (SLL) reduction and first null beamwidth (FNBW) reduction with improved directivity for CAA and maximum reduction of SLL for CCAA, respectively. OGSA is developed on the primary foundation of Gravitational Search Algorithm (GSA) blended with the concept of opposition based approach. Simulation results show a considerable improvement of radiation pattern with respect to the corresponding uniform cases of both the types of antenna array and those of some recent literature reported in this paper. Finally, comparison of accuracies of the proposed algorithm is performed by t-test calculation.
2457
2471
Gopi
Ram
Gopi
Ram
Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, India, Pin-713209
Department of Electronics and Communication
Iran
gopi203hardel@gmail.com
Durbadal
Mandal
Durbadal
Mandal
Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, India, Pin-713209
Department of Electronics and Communication
Iran
durbadal.bittu@gmail.com
Rajib
Kar
Rajib
Kar
Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, India, Pin-713209
Department of Electronics and Communication
Iran
Sakti
Prasad Ghoshal
Sakti
Prasad Ghoshal
Department of Electrical Engineering, National Institute of Technology Durgapur, India, Pin-713209
Department of Electrical Engineering, National
Iran
Circular arrays
FNBW
SLL
OGSA
Directivity
Numerical approach for solving nonlinear stochastic Ito-Volterra integral equations using Fibonacci operational matrices
Numerical approach for solving nonlinear stochastic Ito-Volterra integral equations using Fibonacci operational matrices
2
2
This article proposes an efficient method based on the Fibonacci functions for solving nonlinear stochastic Ito-Volterra integral equations. For this purpose, we obtain stochastic operational matrix of Fibonacci functions on the finite interval [0,T]. Using these basis functions and their stochastic operational matrix, such problems can be transformed into nonlinear systems of algebraic equations which can be solved by Newton's method. Also, the existence, uniqueness and convergence of the proposed method are discussed. Furthermore, in order to show the accuracy and reliability of the proposed method, the new approach is applied to some practical problems.
1
This article proposes an efficient method based on the Fibonacci functions for solving nonlinear stochastic Ito-Volterra integral equations. For this purpose, we obtain stochastic operational matrix of Fibonacci functions on the finite interval [0,T]. Using these basis functions and their stochastic operational matrix, such problems can be transformed into nonlinear systems of algebraic equations which can be solved by Newton's method. Also, the existence, uniqueness and convergence of the proposed method are discussed. Furthermore, in order to show the accuracy and reliability of the proposed method, the new approach is applied to some practical problems.
2472
2481
Farshid
Mirzaee
Farshid
Mirzaee
Faculty of Mathematical Sciences and Statistics, Malayer University, P. O. Box 65719-95863, Malayer, Iran
Faculty of Mathematical Sciences and Statistics,
Iran
f.mirzaee@malayeru.ac.ir
Seyede Fatemeh
Hoseini
Seyede Fatemeh
Hoseini
Faculty of Mathematical Sciences and Statistics, Malayer University, P. O. Box 65719-95863, Malayer, Iran
Faculty of Mathematical Sciences and Statistics,
Iran
Stochastic operational matrix
Stochastic Ito-Volterra integral equations
Brownian motion process
Fibonacci polynomials
Error Analysis
Analytical Quasi 3D Modeling of an Axial Flux PM Motor with Static Eccentricity Fault
Analytical Quasi 3D Modeling of an Axial Flux PM Motor with Static Eccentricity Fault
2
2
In this paper, an analytical quasi three-dimensional (3D) analysis is used to model an axial flux permanent magnet motor (AFPMM) with static eccentricity (SE) fault. Due to AFPMMs inherent 3D geometry, accurate modeling of AFPMMs requires 3D finite element analysis (FEA). However, 3D FEA is generally too time consuming. Proposed analytical quasi 3D modeling method gives the ability to reduce the time and size of computations by transforming 3D geometry of an AFPMM to several two-dimensional (2D) models, then treat each of the 2D models as a linear machine. Using quasi 3D modeling, the air-gap length variation, magnetic flux density and magnetic forces are modeled in an AFPMM with SE fault by analytical approaches. The results given by proposed method are compared to 3D FEA results and it is shown that these results are accurate enough to model the AFPMM with SE fault correctly. Moreover, using this method is significantly less time consuming process than 3D FEA simulation process which is a great advantage of this method. Finally an experimental validation using two test coils on stator teeth has been carried out to show the accuracy of the proposed method simulation results.
1
In this paper, an analytical quasi three-dimensional (3D) analysis is used to model an axial flux permanent magnet motor (AFPMM) with static eccentricity (SE) fault. Due to AFPMMs inherent 3D geometry, accurate modeling of AFPMMs requires 3D finite element analysis (FEA). However, 3D FEA is generally too time consuming. Proposed analytical quasi 3D modeling method gives the ability to reduce the time and size of computations by transforming 3D geometry of an AFPMM to several two-dimensional (2D) models, then treat each of the 2D models as a linear machine. Using quasi 3D modeling, the air-gap length variation, magnetic flux density and magnetic forces are modeled in an AFPMM with SE fault by analytical approaches. The results given by proposed method are compared to 3D FEA results and it is shown that these results are accurate enough to model the AFPMM with SE fault correctly. Moreover, using this method is significantly less time consuming process than 3D FEA simulation process which is a great advantage of this method. Finally an experimental validation using two test coils on stator teeth has been carried out to show the accuracy of the proposed method simulation results.
2482
2491
K.
Abbaszadeh
K.
Abbaszadeh
Electrical Engineering Department, K. N. Toosi University of Technology, Tehran, Iran
Electrical Engineering Department, K. N.
Iran
abbaszadeh@kntu.ac.ir
A.
Rahimi
A.
Rahimi
Electrical Engineering Department, K. N. Toosi University of Technology, Tehran, Iran
Electrical Engineering Department, K. N.
Iran
Axial Flux Permanent Magnet Machine
Static eccentricity
Unbalanced Magnetic Forces
Analytical quasi 3D modeling
A cellular automaton based model for visual perception based on anatomical connections
A cellular automaton based model for visual perception based on anatomical connections
2
2
A phenomenological model of visual perceptual dynamics is proposed based upon the Cellular Automata (CA) which considers the anatomical connections between visual areas of the macaque brain. Some other important characteristics of neural networks of the brain are also included in the model, such as the excitatory-inhibitory ratio of neural populations, synaptic delays, etc. A new form of geometric mean interaction rules" among neural populations is also introduced which could be considered more realistic than current arithmetic mean-based rules". This computational model is capable of showing interesting dynamical behaviors, seen in the visual perceptual states of the brain.
1
A phenomenological model of visual perceptual dynamics is proposed based upon the Cellular Automata (CA) which considers the anatomical connections between visual areas of the macaque brain. Some other important characteristics of neural networks of the brain are also included in the model, such as the excitatory-inhibitory ratio of neural populations, synaptic delays, etc. A new form of geometric mean interaction rules" among neural populations is also introduced which could be considered more realistic than current arithmetic mean-based rules". This computational model is capable of showing interesting dynamical behaviors, seen in the visual perceptual states of the brain.
2492
2504
M.
Beigzadeh
M.
Beigzadeh
Complex Systems and Cybernetic Control Lab, Faculty of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran, P.O. Box 15875-4413, Iran
Complex Systems and Cybernetic Control Lab,
Iran
S.M.R.
Hashemi Golpayegani
S.M.R.
Hashemi Golpayegani
Complex Systems and Cybernetic Control Lab, Faculty of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran, P.O. Box 15875-4413, Iran
Complex Systems and Cybernetic Control Lab,
Iran
cellular automata
Visual perception
Coupled logistic maps
Netlets
Brain networks connections
A new control method for grid-connected quasi-Z-source multilevel inverter based photovoltaic system
A new control method for grid-connected quasi-Z-source multilevel inverter based photovoltaic system
2
2
In this paper, a new control method for quasi-Z-source cascaded multilevel inverter based grid-connected photovoltaic (PV) system using evolutionary algorithm and artificial neural network (ANN) is proposed. The proposed method is capable of boosting the PV array voltage to a higher level and solves the imbalance problem of DC-link voltage in traditional cascaded H-bridge inverters using ANN. The proposed control system adjusts the grid injected current in phase with the grid voltage and achieves independent maximum power point tracking (MPPT) for the separate PV arrays by proportional-integral (PI) controllers. For achieving the best performance, this paper presents an optimum approach to design the controller parameters using particle swarm optimization (PSO). The primary design goal is obtaining good response by minimizing the integral absolute error. Also, the transient response is guaranteed by minimizing the overshoot, settling time and rise time of the system response. The effectiveness of the new proposed control method has been verified through simulation studies in a seven level quasi-Z-source cascaded multilevel inverter.
1
In this paper, a new control method for quasi-Z-source cascaded multilevel inverter based grid-connected photovoltaic (PV) system using evolutionary algorithm and artificial neural network (ANN) is proposed. The proposed method is capable of boosting the PV array voltage to a higher level and solves the imbalance problem of DC-link voltage in traditional cascaded H-bridge inverters using ANN. The proposed control system adjusts the grid injected current in phase with the grid voltage and achieves independent maximum power point tracking (MPPT) for the separate PV arrays by proportional-integral (PI) controllers. For achieving the best performance, this paper presents an optimum approach to design the controller parameters using particle swarm optimization (PSO). The primary design goal is obtaining good response by minimizing the integral absolute error. Also, the transient response is guaranteed by minimizing the overshoot, settling time and rise time of the system response. The effectiveness of the new proposed control method has been verified through simulation studies in a seven level quasi-Z-source cascaded multilevel inverter.
2505
2515
Ali
Akhavan
Ali
Akhavan
University of Kashan
University of Kashan
Iran
aliakhavan1369@gmail.com
Hamid Reza
Mohammadi
Hamid Reza
Mohammadi
University of Kashan
University of Kashan
Iran
mohamadi@kashanu.ac.ir
Quasi-Z-source inverter
cascaded multilevel inverter
Photovoltaic system
Particle swarm optimization
Artificial Neural Network
A new technique for efficient reconfiguration of distribution networks
A new technique for efficient reconfiguration of distribution networks
2
2
This paper presents an effective methodto solve the reconfiguration problem of distribution systems for minimizing the real power losses using the new proposed technique and the ant colony optimization. The proposed technique based on three operations on loop removal, loop update and loop subscription is introduced to generate the feasible solutions and to correct the infeasible solutions during the whole evolutionary processwithout applying tedious mesh checks, therefore the computational burden and optimization time are reduced. The effectiveness of the suggested technique is demonstrated on 33-, 69-and 118-bus test distribution systems. The simulation results indicate that the proposed method is useful andefficient for the reconfiguration problem of distribution networks.
1
This paper presents an effective methodto solve the reconfiguration problem of distribution systems for minimizing the real power losses using the new proposed technique and the ant colony optimization. The proposed technique based on three operations on loop removal, loop update and loop subscription is introduced to generate the feasible solutions and to correct the infeasible solutions during the whole evolutionary processwithout applying tedious mesh checks, therefore the computational burden and optimization time are reduced. The effectiveness of the suggested technique is demonstrated on 33-, 69-and 118-bus test distribution systems. The simulation results indicate that the proposed method is useful andefficient for the reconfiguration problem of distribution networks.
2516
2526
saeed
Abazari
Saeed
Abazari
Technical and Engineering Faculty Shahrekord University Shahrekord, Iran
Technical and Engineering Faculty Shahrekord
Iran
saeedabazari@yahoo.com
Mohsen
Heidari Soudejani
Mohsen
Heidari Soudejani
Department of Electrical Engineering, University of Shahrekord, Shahrekord, Iran
Department of Electrical Engineering, University
Iran
: Reconfiguration
Distribution network
Ant colony optimization
Real power loss