2016
23
3
3
0
SCW+: A Service Oriented Framework for Cloud Workflow Systems
SCW+: A Service Oriented Framework for Cloud Workflow Systems
2
2
Cloud workflow is a special type of cloud computing systems which mainly concentrates on workflow management. One of the major issues with cloud workflow systems is automatic multi-cloud workflow management. This paper proposes a service oriented framework for cloud workflow management which integrates heterogeneous multi-cloud platforms to provide integrated applications for users by minimizing the human intervention as far as possible. The proposed framework involves a language to define some basic entities for environments and uses these definitions to integrate applications and services in a cloud workflow. This framework has been already implemented. In addition, its main operations have been evaluated by a case study and the results show that the framework works properly as a cloud integrator, and the framework main activities are done automatically with a reasonable performance.
1
Cloud workflow is a special type of cloud computing systems which mainly concentrates on workflow management. One of the major issues with cloud workflow systems is automatic multi-cloud workflow management. This paper proposes a service oriented framework for cloud workflow management which integrates heterogeneous multi-cloud platforms to provide integrated applications for users by minimizing the human intervention as far as possible. The proposed framework involves a language to define some basic entities for environments and uses these definitions to integrate applications and services in a cloud workflow. This framework has been already implemented. In addition, its main operations have been evaluated by a case study and the results show that the framework works properly as a cloud integrator, and the framework main activities are done automatically with a reasonable performance.
1195
1216
Milad
Torkashvan
Milad
Torkashvan
Department of Computer Science and Engineering, Shahid Beheshti University G. C., Tehran, P.O. Box 1983963113, Iran
Department of Computer Science and Engineering,
Iran
milad.torkashvan@gmail.com
Hassan
Haghighi
Hassan
Haghighi
Department of Computer Science and Engineering, Shahid Beheshti University G. C., Tehran, P.O. Box 1983963113, Iran
Department of Computer Science and Engineering,
Iran
h_haghighi@sbu.ac.ir
Cloud Workflow
Cloud Computing
Cloud Framework
ABT and SBT Revisited: Efficient Memory Management Techniques for Object Oriented and Web-based Applications
ABT and SBT Revisited: Efficient Memory Management Techniques for Object Oriented and Web-based Applications
2
2
Dynamic memory management is an important and essential part of computer systems design. Efficient memory allocation, garbage collection, and compaction are becoming critical in parallel and distributed applications using object oriented languages like C++ and Java. In addition to achieving fast allocation/de-allocation of memory objects and fragmentation, memory management techniques should strive to improve the overall execution performance of object oriented applications. In this paper, we introduce Address Ordered and Segregated Binary Trees, two memory management techniques particularly efficient for object oriented applications. Our empirical results manifest that both ABT and SBT when accompanied by coalescing outperform existing allocators such as Segregated free lists in terms of storage utilization and execution performance. We also show that these new allocators perform well in terms of storage utilization, even without coalescing. This is in particular suitable for web-applications.
1
Dynamic memory management is an important and essential part of computer systems design. Efficient memory allocation, garbage collection, and compaction are becoming critical in parallel and distributed applications using object oriented languages like C++ and Java. In addition to achieving fast allocation/de-allocation of memory objects and fragmentation, memory management techniques should strive to improve the overall execution performance of object oriented applications. In this paper, we introduce Address Ordered and Segregated Binary Trees, two memory management techniques particularly efficient for object oriented applications. Our empirical results manifest that both ABT and SBT when accompanied by coalescing outperform existing allocators such as Segregated free lists in terms of storage utilization and execution performance. We also show that these new allocators perform well in terms of storage utilization, even without coalescing. This is in particular suitable for web-applications.
1217
1227
Mehran
Rezaei
Mehran
Rezaei
University of Isfahan
University of Isfahan
Iran
mhr.rezaei@gmail.com
Krishna M.
Kavi
Krishna M.
Kavi
Iran
Dynamic Memory Management
Storage Utilization
Sequential Fit
Segregated free lists
and Binary Trees
Separating bichromatic point sets by two disjoint isothetic rectangles
Separating bichromatic point sets by two disjoint isothetic rectangles
2
2
Given a set P of red points and a set Q of blue points in the plane of total size n, we investigate the problem of finding two disjoint isothetic rectangles containing all the points of Q avoiding any points of P. Such rectangles are called two separating disjoint isothetic rectangles. We first compute two separating disjoint axis-aligned rectangles in O(n log n) time. Then, we relax the axis-aligned constraint and report all combinatorially dierent two separating disjoint isothetic rectangles. To compute these rectangles, we introduce some events by rotating the coordinate system and process these events. Computing and processing all of the events are done in O(n^2 log n) time. Thus, our algorithm reports all combinatorially dierent separating rectangles in O(n^2 log n) time.
1
Given a set P of red points and a set Q of blue points in the plane of total size n, we investigate the problem of finding two disjoint isothetic rectangles containing all the points of Q avoiding any points of P. Such rectangles are called two separating disjoint isothetic rectangles. We first compute two separating disjoint axis-aligned rectangles in O(n log n) time. Then, we relax the axis-aligned constraint and report all combinatorially dierent two separating disjoint isothetic rectangles. To compute these rectangles, we introduce some events by rotating the coordinate system and process these events. Computing and processing all of the events are done in O(n^2 log n) time. Thus, our algorithm reports all combinatorially dierent separating rectangles in O(n^2 log n) time.
1228
1238
Zahra
Moslehi
Zahra
Moslehi
Amirkabir University of Tech.
Amirkabir University of Tech.
Iran
zahra_moslehi83@aut.ac.ir
Alirza
Bagheri
Alireza
Bagheri
Amirkabir University of Tech.
Amirkabir University of Tech.
Iran
ar_bagheri@aut.ac.ir
algorithm
Computational geometry
separability
bichromatic point sets
isothetic rectangles
Transductive transfer learning via maximum margin criterion
Transductive transfer learning via maximum margin criterion
2
2
In this paper, we propose a transductive transfer learning framework, referred to as Transfer Maximum Margin Criterion (T-MMC). This framework is suitable to transfer the knowledge acquired in one domain, the source domain, to another domain, the target domain, where no labeled examples are available in the target domain. We introduce an eective feature weighting approach, which proceeds to reduce the domain dierence between the source and target domains. Moreover, we exploit maximum margin criterion to well discriminate various classes in the reduced domains. We simultaneously transfer knowledge from the source domain to target domain and also discriminate various classes in the reduced domains. Comprehensive experiments on the synthetic and real datasets demonstrate that T-MMC outperforms existing transfer learning methods.
1
In this paper, we propose a transductive transfer learning framework, referred to as Transfer Maximum Margin Criterion (T-MMC). This framework is suitable to transfer the knowledge acquired in one domain, the source domain, to another domain, the target domain, where no labeled examples are available in the target domain. We introduce an eective feature weighting approach, which proceeds to reduce the domain dierence between the source and target domains. Moreover, we exploit maximum margin criterion to well discriminate various classes in the reduced domains. We simultaneously transfer knowledge from the source domain to target domain and also discriminate various classes in the reduced domains. Comprehensive experiments on the synthetic and real datasets demonstrate that T-MMC outperforms existing transfer learning methods.
1239
1250
J.
Tahmoresnezhad
J.
Tahmoresnezhad
Faculty of IT & Computer Engineering, Urmia University of Technology, Urmia, Iran.
Faculty of IT & Computer Engineering,
Iran
S.
Hashemi
S.
Hashemi
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
School of Electrical and Computer Engineering,
Iran
Transductive transfer learning
Unsupervised domain adaptation
Maximum margin criterion
Maximum mean discrepancy
Viable Arcuate Double-sided Magnetic Gear for Competitive Torque Density Transmission Capability
Viable Arcuate Double-sided Magnetic Gear for Competitive Torque Density Transmission Capability
2
2
Magnetic gears (MGs) offer significant potential advantages relative to conventional mechanical gears, such as: no contact, no friction, no lubrication, inherent overload protection and free from noise and vibration. Despite of these superior features they have received little attention due to complexity of operation and relatively low torque density transmission. This paper introduces a new magnetic gear topology with a highly competitive torque density transmission capability. This configuration is inspired of combination of the traditional radial and axial flux MGs. The assurance of accuracy based on a basic design of axial flux magnetic gear dimensions leading to Proof-of-Concept “Arcuate Double-Sided MG”. The Proof-of-Concept seeks to provide a better solution to the problems of flux maldistribution and concentration compared to what has been proposed previously. Thus, torque density performance of this MG is intensively augmented. The cogging torque is also computed in further simulations. However, the above requires advanced numerical techniques and hence 3-Dimensional simulations for calculating localized flux density and the corresponding torque density. Completion of this development will mark an important milestone in magnetic gear technology, and significant performance improvement will be realized.
1
Magnetic gears (MGs) offer significant potential advantages relative to conventional mechanical gears, such as: no contact, no friction, no lubrication, inherent overload protection and free from noise and vibration. Despite of these superior features they have received little attention due to complexity of operation and relatively low torque density transmission. This paper introduces a new magnetic gear topology with a highly competitive torque density transmission capability. This configuration is inspired of combination of the traditional radial and axial flux MGs. The assurance of accuracy based on a basic design of axial flux magnetic gear dimensions leading to Proof-of-Concept “Arcuate Double-Sided MG”. The Proof-of-Concept seeks to provide a better solution to the problems of flux maldistribution and concentration compared to what has been proposed previously. Thus, torque density performance of this MG is intensively augmented. The cogging torque is also computed in further simulations. However, the above requires advanced numerical techniques and hence 3-Dimensional simulations for calculating localized flux density and the corresponding torque density. Completion of this development will mark an important milestone in magnetic gear technology, and significant performance improvement will be realized.
1251
1260
S.A.
Afsari
S.A.
Afsari
Center of Excellence for Power System Automation and Operation, Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, P.O. Box 16846-13114, Iran
Center of Excellence for Power System Automation
Iran
H.
Heydari
H.
Heydari
Center of Excellence for Power System Automation and Operation, Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, P.O. Box 16846-13114, Iran
Center of Excellence for Power System Automation
Iran
E.
Bashar
E.
Bashar
Center of Excellence for Power System Automation and Operation, Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, P.O. Box 16846-13114, Iran
Center of Excellence for Power System Automation
Iran
axial flux. arcuate. cogging torque. magnetic gear. double-sided
torque density
A multi-objective heuristic method for optimal design of HTS fault current limiters
A multi-objective heuristic method for optimal design of HTS fault current limiters
2
2
The optimization algorithm for High-Temperature Superconducting (HTS) Fault Current Limiters (FCL) normally includes some non-commensurable criteria or objectives such as cost, limiting factor, thermal stresses, and mechanical stresses that should be minimized or maximized concurrently in a protracted optimization process. It can be performed only by tools which rstly describe the HTSFCL precisely and predict its limitation behavior and then select the optimum design using optimization algorithm. Multi-Objective Decision Making (MODM) is one of the most widely used decision techniques in the business and engineering worlds. In the MODM problems, there are several objectives of the system concurrently optimized, and a solution set, i.e. the Pareto front, is usually obtained instead of a real optimal solution. This paper explains in details the combination models of HTSFCL as a component in PSCAD/EMTDC and presents the optimization algorithm based on a new approach of normalized multi-objective simulated annealing.
1
The optimization algorithm for High-Temperature Superconducting (HTS) Fault Current Limiters (FCL) normally includes some non-commensurable criteria or objectives such as cost, limiting factor, thermal stresses, and mechanical stresses that should be minimized or maximized concurrently in a protracted optimization process. It can be performed only by tools which rstly describe the HTSFCL precisely and predict its limitation behavior and then select the optimum design using optimization algorithm. Multi-Objective Decision Making (MODM) is one of the most widely used decision techniques in the business and engineering worlds. In the MODM problems, there are several objectives of the system concurrently optimized, and a solution set, i.e. the Pareto front, is usually obtained instead of a real optimal solution. This paper explains in details the combination models of HTSFCL as a component in PSCAD/EMTDC and presents the optimization algorithm based on a new approach of normalized multi-objective simulated annealing.
1261
1271
R.
Sharifi
R.
Sharifi
Center of Excellence for Power System Automation and Operation, Electrical Engineering Department, Iran University of Science and Technology (IUST), Tehran, Iran.
Center of Excellence for Power System Automation
Iran
H.
Heydari
H.
Heydari
Department of Electrical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.
Department of Electrical Engineering, West
Iran
Multi-objective decision making
Multi-objective simulated annealing
High temperature superconductors
Superconducting fault current limiter
A Proposed Maximum Power Point Tracking by Using Adaptive Fuzzy Logic Controller for Photovoltaic Systems
A Proposed Maximum Power Point Tracking by Using Adaptive Fuzzy Logic Controller for Photovoltaic Systems
2
2
This paper presents a proposed method to search maximum power point (MPP) based on the adaptive fuzzy logic control (AFLC) which is applied to photovoltaic (PV) systems under varying temperatures and radiations. The proposed system is composed of boost converter, two fuzzy controllers and load. Whenever environmental conditions change in wide range, using only conventional fuzzy logic controller (CFLC) is not adequate and causes more errors in tracking. The proposed AFLC comprises two stages: Online and Offline tuning. The offline method by accurately setting CFLC controller parameters is applied for relatively stable atmospheric conditions. Meanwhile, the online method is considered for unstable atmospheric conditions and contains two fuzzy controllers-one primary, one secondary. The primary fuzzy controller is the CFLC, and the secondary controller is the decision-making, which due to atmospheric conditions, alters the primary fuzzy controller parameters in order to achieve a better answer compared to utilizing CFLC. Decision making controller with changing in irradiation and temperature changes gain of inputs of CFLC simultaneously that it increases rate and accuracy of tracking in comparison with using only fuzzy controller. By simulating results using CFLC and AFLC controllers, the proposed method is able to improved performance indicators with respect to CFLC.
1
This paper presents a proposed method to search maximum power point (MPP) based on the adaptive fuzzy logic control (AFLC) which is applied to photovoltaic (PV) systems under varying temperatures and radiations. The proposed system is composed of boost converter, two fuzzy controllers and load. Whenever environmental conditions change in wide range, using only conventional fuzzy logic controller (CFLC) is not adequate and causes more errors in tracking. The proposed AFLC comprises two stages: Online and Offline tuning. The offline method by accurately setting CFLC controller parameters is applied for relatively stable atmospheric conditions. Meanwhile, the online method is considered for unstable atmospheric conditions and contains two fuzzy controllers-one primary, one secondary. The primary fuzzy controller is the CFLC, and the secondary controller is the decision-making, which due to atmospheric conditions, alters the primary fuzzy controller parameters in order to achieve a better answer compared to utilizing CFLC. Decision making controller with changing in irradiation and temperature changes gain of inputs of CFLC simultaneously that it increases rate and accuracy of tracking in comparison with using only fuzzy controller. By simulating results using CFLC and AFLC controllers, the proposed method is able to improved performance indicators with respect to CFLC.
1272
1281
Amir
Gheibi
Amir
Gheibi
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Iran
Department of Electrical Engineering, Shahid
Iran
S.M.A.
Mohammadi
S.M.A.
Mohammadi
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, P.O. Box 76175133, Iran
Department of Electrical Engineering, Shahid
Iran
Malihe
Maghfoori Farsangi
Malihe
Maghfoori Farsangi
Department of Electrical Engineering, Shahid Bahonar University of Kerman Iran
Department of Electrical Engineering, Shahid
Iran
Adaptive fuzzy logic control
Boost converter
Conventionalfuzzy controller
decision making
Real- time regulation
Solar cell
An Approach for Increasing Wind Power Penetration in Deregulated Power System
An Approach for Increasing Wind Power Penetration in Deregulated Power System
2
2
Wind power generations as a renewable source of energy have become under the spotlight of policy markets and energy providers recently. However, the technical constraints, production variability and uncertainty of wind power have limited its extensive integration into power system. Having these limitations in mind, the present paper sets for a new methodology for increasing wind power integration in deregulated electricity market. The proposed method is presented with the consideration of voltage stability assessment and wind power uncertainties. Our plan aims at maximizing social welfare and minimizing investment and annual operation cost. At the same time, we seek to overcome line constraint by taking into account wind uncertainties. In order to fulfill the aims, FACTS devices and price sensitive loads are utilized. On the other hand, a multi-objective optimization problem was used to evaluate the annual costs and outcomes of wind power investment, the optimal setting of FACTS devices, and optimal load shedding. Expected Security Cost Optimal Power Flow (ESCOPF) is used to minimize the expected total cost of system operation. To solve the proposed planning problem, Non Dominated Sorting Genetic Algorithm (NSGA-II) is exploited. Our proposed method has been applied to an IEEE30 bus test system by considering two wind scenarios. The simulation results demonstrate the efficiency of the proposed planning.
1
Wind power generations as a renewable source of energy have become under the spotlight of policy markets and energy providers recently. However, the technical constraints, production variability and uncertainty of wind power have limited its extensive integration into power system. Having these limitations in mind, the present paper sets for a new methodology for increasing wind power integration in deregulated electricity market. The proposed method is presented with the consideration of voltage stability assessment and wind power uncertainties. Our plan aims at maximizing social welfare and minimizing investment and annual operation cost. At the same time, we seek to overcome line constraint by taking into account wind uncertainties. In order to fulfill the aims, FACTS devices and price sensitive loads are utilized. On the other hand, a multi-objective optimization problem was used to evaluate the annual costs and outcomes of wind power investment, the optimal setting of FACTS devices, and optimal load shedding. Expected Security Cost Optimal Power Flow (ESCOPF) is used to minimize the expected total cost of system operation. To solve the proposed planning problem, Non Dominated Sorting Genetic Algorithm (NSGA-II) is exploited. Our proposed method has been applied to an IEEE30 bus test system by considering two wind scenarios. The simulation results demonstrate the efficiency of the proposed planning.
1282
1293
Mohsen
Eslami nia
Mohsen
Eslami nia
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Department of Electrical Engineering, Shahid
Iran
mohseneslami68@yahoo.com
Mohsen
Mohammadian
Mohsen
Mohammadian
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Department of Electrical Engineering, Shahid
Iran
m.mohammadian@mail.uk.ac.ir
Mohammad Hasan
Hemmatpour
Mohammad Hasan
Hemmatpour
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Department of Electrical Engineering, Shahid
Iran
m.h.hematpour@gmail.com
wind power integrationFACTS devices
price sensitive loads
congestion relief and voltage stability
Current feedback op-amp based linear voltage-controlled oscillator using analog multipliers and minimum passive components
Current feedback op-amp based linear voltage-controlled oscillator using analog multipliers and minimum passive components
2
2
This paper reports a new realization of linear Voltage-Controlled Oscillator (VCO) using three Current-Feedback Op-Amps (CFOAs), three analog multipliers, and only four passive components. Thus, minimum numbers of passive components are used to devise a canonic sinusoidal oscillator. The circuit provides non-interactive electronic tuning of both the Condition of Oscillation (CO) and the Frequency of Oscillation (FO) via the gains of two dierent analog multipliers. The impedance at output node exhibits low impedance which is easy to directly connect to load without any additional voltage buer. The proposed circuit has been simulated in SPICE using macro-model of AD844 CFOA ICs and AD633 multiplier ICs.
1
This paper reports a new realization of linear Voltage-Controlled Oscillator (VCO) using three Current-Feedback Op-Amps (CFOAs), three analog multipliers, and only four passive components. Thus, minimum numbers of passive components are used to devise a canonic sinusoidal oscillator. The circuit provides non-interactive electronic tuning of both the Condition of Oscillation (CO) and the Frequency of Oscillation (FO) via the gains of two dierent analog multipliers. The impedance at output node exhibits low impedance which is easy to directly connect to load without any additional voltage buer. The proposed circuit has been simulated in SPICE using macro-model of AD844 CFOA ICs and AD633 multiplier ICs.
1294
1300
W.
Jaikla
W.
Jaikla
Department of Engineering Education, Faculty of Industrial Education, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand.
Department of Engineering Education, Faculty
Iran
A.
Lahiri
A.
Lahiri
D3, Friends Apartment, IP Extension, Delhi, 110092, India.
D3, Friends Apartment, IP Extension, Delhi,
Iran
Voltage-controlled oscillator
Single-resistancecontrolled oscillator
Current-feedback op-amp
Electronic tuning
Multiplier
Guaranteed Cost Control of Uncertain Discrete Time Systems Subjected to Actuator Saturation via Homogenous Polynomial Lyapunov Function
Guaranteed Cost Control of Uncertain Discrete Time Systems Subjected to Actuator Saturation via Homogenous Polynomial Lyapunov Function
2
2
Estimation of an optimal controller is a fundamental problem in control engineering and is widely known as Optimization. Numerous computation and numerical techniques have been evolved during the past years for the estimation of the optimal solution. Optimal control of a discrete-time system is concerned with optimizing a given objective function using “Homogenous Polynomial Lyapunov Function (HPLF)”. This research focuses upon the design of optimal guaranteed cost controller (GCC) for discrete-time uncertain system using HPLF. The uncertainties are assumed to be norm bounded uncertainties. The effect of actuator saturation is also incorporated in the system. Sufficient conditions for the existence of HPLF are derived in term of Linear Matrix Inequalities (LMI). The LMI approach has the advantage that it can be solved efficiently using Convex Optimization. LMI’s combined with HPLF helps to design the guaranteed cost controller which minimizes the cost by minimizing cost function. Furthermore, the state trajectories and the invariant set is also shown to observe the overall performance.
1
Estimation of an optimal controller is a fundamental problem in control engineering and is widely known as Optimization. Numerous computation and numerical techniques have been evolved during the past years for the estimation of the optimal solution. Optimal control of a discrete-time system is concerned with optimizing a given objective function using “Homogenous Polynomial Lyapunov Function (HPLF)”. This research focuses upon the design of optimal guaranteed cost controller (GCC) for discrete-time uncertain system using HPLF. The uncertainties are assumed to be norm bounded uncertainties. The effect of actuator saturation is also incorporated in the system. Sufficient conditions for the existence of HPLF are derived in term of Linear Matrix Inequalities (LMI). The LMI approach has the advantage that it can be solved efficiently using Convex Optimization. LMI’s combined with HPLF helps to design the guaranteed cost controller which minimizes the cost by minimizing cost function. Furthermore, the state trajectories and the invariant set is also shown to observe the overall performance.
1301
1309
S. M.
Nashit Arshad
S. M.
Nashit Arshad
Air University, Islamabad, Pakistan
Air University, Islamabad, Pakistan
Iran
Kamal
Mazhar
Kamal
Mazhar
Air University, Islamabad, Pakistan
Air University, Islamabad, Pakistan
Iran
M.
Umer Khan
M.
Umer Khan
Air University, Islamabad, Pakistan
Air University, Islamabad, Pakistan
Iran
S.M.
Usman Hashmi
S.M.
Usman Hashmi
Iqra University, Islamabad, Pakistan
Iqra University, Islamabad, Pakistan
Iran
convex optimization
lyapunov function
uncertainty
discreet time control
A new adequacy evaluation method for transmission expansion planning problems
A new adequacy evaluation method for transmission expansion planning problems
2
2
Transmission Expansion Planning (TEP) problem refers to proposing the optimal number and location of new transmission lines in order to satisfy operation conditions with less investment costs. Adequacy evaluation of trial solutions is essential to solve TEP problem. This evaluation procedure may require a considerable computational eort; therefore, improvement of Adequacy Evaluation Methods (AEMs) is a key to achieve more ecient TEP solution algorithms. It is a common practice to employ a Linear Programming (LP) called DC operation model" to perform this evaluation, especially in cases that generation rescheduling is considered in TEP studies. In this paper, an AEM is proposed as an alternative with less computational eort to perform adequacy evaluation. In fact, the proposed AEM is applicable in TEP problems considering generation rescheduling. The study is based on DC TEP model where electrical aspect of the problem is modeled based on DC power flow equations. To examine the performance of the proposed AEM, this evaluation method is employed in a meta-heuristic TEP solution algorithm. Such a combinatorial algorithm is then applied to dierent standard test systems as well as practical cases. The simulation results show a promising improvement caused by employment of the proposed AEM.
1
Transmission Expansion Planning (TEP) problem refers to proposing the optimal number and location of new transmission lines in order to satisfy operation conditions with less investment costs. Adequacy evaluation of trial solutions is essential to solve TEP problem. This evaluation procedure may require a considerable computational eort; therefore, improvement of Adequacy Evaluation Methods (AEMs) is a key to achieve more ecient TEP solution algorithms. It is a common practice to employ a Linear Programming (LP) called DC operation model" to perform this evaluation, especially in cases that generation rescheduling is considered in TEP studies. In this paper, an AEM is proposed as an alternative with less computational eort to perform adequacy evaluation. In fact, the proposed AEM is applicable in TEP problems considering generation rescheduling. The study is based on DC TEP model where electrical aspect of the problem is modeled based on DC power flow equations. To examine the performance of the proposed AEM, this evaluation method is employed in a meta-heuristic TEP solution algorithm. Such a combinatorial algorithm is then applied to dierent standard test systems as well as practical cases. The simulation results show a promising improvement caused by employment of the proposed AEM.
1310
1317
M.R.
Habibi
M.R.
Habibi
Department of Electrical Engineering and Computer Science, Kerman Graduate University of Technology, Kerman, Iran.
Department of Electrical Engineering and
Iran
m.habibi@student.kgut.ac.ir
M.
Rashidinejad
M.
Rashidinejad
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Department of Electrical Engineering, Shahid
Iran
mrashidi@mail.uk.ac.ir
A.
Abdollahi
A.
Abdollahi
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Department of Electrical Engineering, Shahid
Iran
DC operation model
Superposition principle
Transmission Expansion Planning
Transmission system adequacy evaluation
Improved Particle Swarm Optimization for Combined Heat and Power Economic Dispatch
Improved Particle Swarm Optimization for Combined Heat and Power Economic Dispatch
2
2
This paper presents eight improved particle swarm optimization (IPSO) algorithms for solving combined heat and power economic dispatch (CHPED) problem with valve point loading effects on fuel cost function of pure power units and power losses in transmission system. The main objective of the problem is to find the power output of the pure power units, the heat output of the pure heat units and both power and heat outputs of cogeneration units so that the total fuel cost is minimized while satisfying power and heat demands and power and heat limits. The proposed IPSO algorithms are based on some modifications on the parameters and the use of Cauchy distribution. The effectiveness of the proposed IPSO methods have been validated through five different test systems including three systems with quadratic fuel cost function of pure power units neglecting transmission losses, and two systems with nonconvex fuel cost function of pure power units considering transmission losses. The result comparisons between the proposed IPSO methods and other methods in the literature have indicated that the proposed methods can obtain higher solution quality with faster computational time than many other methods. Therefore, the proposed IPSO methods would be very efficient methods for solving the nonconvex CHPED problem.
1
This paper presents eight improved particle swarm optimization (IPSO) algorithms for solving combined heat and power economic dispatch (CHPED) problem with valve point loading effects on fuel cost function of pure power units and power losses in transmission system. The main objective of the problem is to find the power output of the pure power units, the heat output of the pure heat units and both power and heat outputs of cogeneration units so that the total fuel cost is minimized while satisfying power and heat demands and power and heat limits. The proposed IPSO algorithms are based on some modifications on the parameters and the use of Cauchy distribution. The effectiveness of the proposed IPSO methods have been validated through five different test systems including three systems with quadratic fuel cost function of pure power units neglecting transmission losses, and two systems with nonconvex fuel cost function of pure power units considering transmission losses. The result comparisons between the proposed IPSO methods and other methods in the literature have indicated that the proposed methods can obtain higher solution quality with faster computational time than many other methods. Therefore, the proposed IPSO methods would be very efficient methods for solving the nonconvex CHPED problem.
1318
1334
Thang
Nguyen Trung
Thang
Nguyen Trung
Iran
nguyentrungthang@tdt.edu.vn
Dieu
Vo
Dieu
Vo Ngoc
Ho Chi Minh City University of Technology
Ho Chi Minh City University of Technology
Iran
vndieu@gmail.com
Improved particle swarm optimization
combined heat and power economic dispatch
pure power units
cogeneration units
pure heat units
quadratic fuel cost function
nonconvex fuel cost function
MOSCAP linearization and its application in low-power electrocardiogram amplier
MOSCAP linearization and its application in low-power electrocardiogram amplier
2
2
Considerable area occupied by capacitors is one of the main issues in the design of many ICs, especially in biomedical applications. MIM capacitor can be replaced by the MOSCAP to reduce the chip area and cost. Although the MOSCAP shows a non-linear behavior, linearization can be performed to some extent using serial and parallel compensation. In this paper, a new approach is presented, by which the impact of MOSCAP non-linearity on the THD of the circuit is reduced. The proposed technique is used in an electrocardiogram amplier. The appropriate structure for each MOSCAP of the amplier is selected by analyzing the non-linear eect of the MOSCAPs on the amplier's output linearity. The non-linear eect of MOSCAP is reduced by choosing the appropriate slopes in the MOSCAP capacitance-voltage curve. As a result, the occupied area of the amplier is reduced to less than 10 percent of the area of the amplier with MIM capacitors, while the THD is not changed considerably. The output THD is 0.65% at 60 Hz and the total power consumption is 72 nW.
1
Considerable area occupied by capacitors is one of the main issues in the design of many ICs, especially in biomedical applications. MIM capacitor can be replaced by the MOSCAP to reduce the chip area and cost. Although the MOSCAP shows a non-linear behavior, linearization can be performed to some extent using serial and parallel compensation. In this paper, a new approach is presented, by which the impact of MOSCAP non-linearity on the THD of the circuit is reduced. The proposed technique is used in an electrocardiogram amplier. The appropriate structure for each MOSCAP of the amplier is selected by analyzing the non-linear eect of the MOSCAPs on the amplier's output linearity. The non-linear eect of MOSCAP is reduced by choosing the appropriate slopes in the MOSCAP capacitance-voltage curve. As a result, the occupied area of the amplier is reduced to less than 10 percent of the area of the amplier with MIM capacitors, while the THD is not changed considerably. The output THD is 0.65% at 60 Hz and the total power consumption is 72 nW.
1335
1343
M.
Ghamati
M.
Ghamati
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Electrical Engineering, Ferdowsi
Iran
M.
Maymandi-Nejad
M.
Maymandi-Nejad
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Electrical Engineering, Ferdowsi
Iran
MOSCAP
THD
Electrocardiogram (ECG)
CMRR
Instrumentation amplier