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This paper represents a generation expansion planning (GEP) in the restructured power systems. For decoupling generation expansion planning from transmission expansion planning, a new method as T-index is used. The Benders’ decomposition... more
This paper represents a generation expansion planning (GEP) in the restructured power systems. For decoupling generation expansion planning from transmission expansion planning, a new method as T-index is used. The Benders’ decomposition is implemented to reduce the complexity of problem. The Benders’ decomposition divides the main problem into two subproblems—the first subproblem is the master problem which wants to maximize profits of each GENCO (PBGEP), and the second subproblem is the security problem which wants to satisfy security network constraints (SCGEP). Also, the second subproblem is divided into several subproblems such as feasibility subproblem, security-constrained unit commitment subproblem, T-index subproblem and optimal operation subproblem. Outputs of this algorithm included the place, type, size, and timing for the adding of new units. Also, we calculate value of each GENCO’s profit and total profit. The value of the generated emission is one of the factors for generation expansion planning in this paper. This constraint is applied in GEP to reach allowable value for total generated emission. Finally, an application of the proposed method is discussed and concluded.
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In this paper, a mathematical model and control theoretical framework for designing AQM controllers in networks supporting TCP Vegas is introduced. We have emphasized on a modified TCP Vegas algorithm that can respond to congestion... more
In this paper, a mathematical model and control theoretical framework for designing AQM controllers in networks supporting TCP Vegas is introduced. We have emphasized on a modified TCP Vegas algorithm that can respond to congestion signals through explicit congestion notification (ECN). The overall nonlinear delayed differential equations of the dynamics model of closed loop system have been derived based on TCP Vegas model. The model is then linearized to derive a transfer function representation between the packet marking probability and the bottleneck router queue length as the input and output of the modified TCP Vegas/AQM system. The model properties have been then examined especially for the case of single bottleneck homogeneous network which is closely investigated. Finally an AQM controller based on Coefficient Diagram Method (CDM) has been designed for the system and its performance has been compared with some other AQM controllers. CDM is a new indirect pole placement method that considers the speed, stability and robustness of the closed loop system in terms of time domain specifications. In order for synthesizing the simulation scenarios, our campus router traffic has been studied experimentally for a sample period of one hour and the corresponding parameters has been extracted. The simulation results are representative of good performance of developed TCP Vegas/AQM structure for different simulated scenarios.
Research Interests: Algorithms, Computer Networks, Modeling, Congestion Control, Controller Design, and 15 moreDistributed System, Internet Measurement, Computer Network, Delay Differential Equation, Manufacturing Engineering, Mathematical Model, ISA Transactions, Differential equation, Input Output, Closed Systems, Internet, Electrical And Electronic Engineering, Active Queue Management, dynamic model, and Explicit Congestion Notification
Rapid growth of wind power generation in addition to high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind power... more
Rapid growth of wind power generation in addition to high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind power prediction model based on neural network trained by different optimization approaches is examined to forecast Alberta data. At first, a data mining approach based on recurrence plots and correlation analysis is applied to select the proper input sets for the forecasting neural network model. Next, a comparative study is carried out among neural networks trained by imperialist competitive algorithm (ICA), genetic algorithm, and particle swarm optimization approach. The simulation results are representative of out-performance of ICA in tuning the neural network for wind power forecasting.
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ABSTRACT Rapid growth of wind power generation in addition to its high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind... more
ABSTRACT Rapid growth of wind power generation in addition to its high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind power prediction model based on neural network and imperialist competitive algorithm (ICA) is presented to forecast wind power generation of wind farm of Alberta. Finally, the results of the proposed model and the neural networks trained by PSO and GA are compared with each other.
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Page 1. Determination and Cost allocation of reserve in deregulated environment MM Barati, K. Afshar, N. Bigdeli EE Department, Imam Khomeini International University Qazvin-Iran mm.barati@yahoo.com, afshar@ikiu.ac.ir, bigdeli@ikiu.ac.ir... more
Page 1. Determination and Cost allocation of reserve in deregulated environment MM Barati, K. Afshar, N. Bigdeli EE Department, Imam Khomeini International University Qazvin-Iran mm.barati@yahoo.com, afshar@ikiu.ac.ir, bigdeli@ikiu.ac.ir ... [6] K. Afshar, M. Ehsan, M. Fotuhi ...
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ABSTRACT Providing the customers electrical energy with acceptable quality and level of continuity is of great importance in power systems. This paper proposes a new method to determine the optimal operating reserves and allocate the... more
ABSTRACT Providing the customers electrical energy with acceptable quality and level of continuity is of great importance in power systems. This paper proposes a new method to determine the optimal operating reserves and allocate the reserve costs. In the proposed method, the operating reserves are determined with considering the uncertainties of network, wind power and electrical load. Modeling the uncertainty has been done by a two-stage stochastic programming. The customer choice is considered to determine the required operating reserves. For fairly allocating the reserve costs between Genco’s and customers, the desired demand factor (DF) of customers and system standard demand factor have been defined. In addition, a flexible value of loss load (VOLL) based on reliability requirement is introduced. Also, the customers with different desired level of reliability can be classified. Finally, the good performance of the proposed method is illustrated using the 3-buses test system, the Roy Billinton Test System (RBTS), and the test system of IEEE-RTS.
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... Networks based on CDM Nooshin Bigdeli, and Mohammad Haeri, Member, IEEE B ... respectively. )( sA and )( sB are the denominator and numerator of the controller transfer function. )( sF is called the reference numerator. The output of... more
... Networks based on CDM Nooshin Bigdeli, and Mohammad Haeri, Member, IEEE B ... respectively. )( sA and )( sB are the denominator and numerator of the controller transfer function. )( sF is called the reference numerator. The output of the controlled system is, ...
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ABSTRACT Rapid growth of wind power generation in addition to its high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind... more
ABSTRACT Rapid growth of wind power generation in addition to its high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind power prediction model based on neural network and imperialist competitive algorithm (ICA) is presented to forecast wind power generation of wind farm of Alberta. Finally, the results of the proposed model and the neural networks trained by PSO and GA are compared with each other.
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... Y. Farid (&) Á N. Bigdeli Advanced Power and Control Systems Lab, EE Department,Imam Khomeini International University, Norouzian Street, Qazvin, Iran e-mail: yousef.farid@ikiu.ac.ir N. Bigdeli e-mail: bigdeli@ikiu.ac.ir 123 ...
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Research Interests: Applied Mathematics, Stochastic Process, Congestion Control, Time series analysis, Computer Network, and 10 moreDesign method, Network Design, Quality of Service, Oscillations, Deterministic Chaos, Second Order, Nonlinear Time Series Analysis, High Sensitivity, Active Queue Management, and Queue length
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Research Interests: Computational Complexity, Optimal Control, Computational Modeling, Computer Networks, Congestion Control, and 14 moreQueueing theory, Control Systems, Control system, Computer Network, Predictive models, Fluid flow, IP networks, Transport Protocols, Rule Based, Predictive Control, Active Queue Management, Disturbance rejection, Tcpip, and Application Software
A new adaptive controller based on coefficient diagram method (CDM) as an active queue management (AQM) method is introduced. In the developed AQM (ACDM), the output feedback pole placement is implemented in an indirect model reference... more
A new adaptive controller based on coefficient diagram method (CDM) as an active queue management (AQM) method is introduced. In the developed AQM (ACDM), the output feedback pole placement is implemented in an indirect model reference adaptive control (MRAC) scheme, in which the closed loop characteristic polynomial is determined by CDM and the system parameters are estimated using a modified recursive gradient method. This method preserves existing features of CDM controller in the control of networks with unknown or varying parameters. Simulation results illustrate the good performance of the controller
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... have been proposed. These methods are based on some pricing algorithms which try to maximize network utilization as well as fairness in the network (Kunniyur andSrikant, 2003; Kelly et al, 1998; Low, 2003). For wireless ...
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In this paper, a mathematical model and control theoretical framework for designing AQM controllers in networks supporting TCP Vegas is introduced. We have emphasized on a modified TCP Vegas algorithm that can respond to congestion... more
In this paper, a mathematical model and control theoretical framework for designing AQM controllers in networks supporting TCP Vegas is introduced. We have emphasized on a modified TCP Vegas algorithm that can respond to congestion signals through explicit congestion notification (ECN). The overall nonlinear delayed differential equations of the dynamics model of closed loop system have been derived based on TCP Vegas model. The model is then linearized to derive a transfer function representation between the packet marking probability and the bottleneck router queue length as the input and output of the modified TCP Vegas/AQM system. The model properties have been then examined especially for the case of single bottleneck homogeneous network which is closely investigated. Finally an AQM controller based on Coefficient Diagram Method (CDM) has been designed for the system and its performance has been compared with some other AQM controllers. CDM is a new indirect pole placement method that considers the speed, stability and robustness of the closed loop system in terms of time domain specifications. In order for synthesizing the simulation scenarios, our campus router traffic has been studied experimentally for a sample period of one hour and the corresponding parameters has been extracted. The simulation results are representative of good performance of developed TCP Vegas/AQM structure for different simulated scenarios.
Research Interests: Algorithms, Computer Networks, Modeling, Congestion Control, Controller Design, and 15 moreDistributed System, Internet Measurement, Computer Network, Delay Differential Equation, Manufacturing Engineering, Mathematical Model, ISA Transactions, Differential equation, Input Output, Closed Systems, Internet, Electrical And Electronic Engineering, Active Queue Management, Packet Marking, and dynamic model
Predictive functional control (PFC) as a new active queue management (AQM) method in dynamic TCP networks supporting explicit congestion notification (ECN) is proposed. The ability of the controller in handling system delay along with its... more
Predictive functional control (PFC) as a new active queue management (AQM) method in dynamic TCP networks supporting explicit congestion notification (ECN) is proposed. The ability of the controller in handling system delay along with its simplicity and low computational load makes PFC a privileged AQM method in the high speed networks. Besides, considering the disturbance term (which represents model/process mismatches, external disturbances, and existing noise) in the control formulation adds some level of robustness into the PFC-AQM controller. This is an important and desired property in the control of dynamically-varying computer networks. In this paper, the controller is designed based on a small signal linearized fluid-flow model of the TCP/AQM networks. Then, closed-loop transfer function representation of the system is derived to analyze the robustness with respect to the network and controller parameters. The analytical as well as the packet-level ns-2 simulation results show the out-performance of the developed controller for both queue regulation and resource utilization. Fast response, low queue fluctuations (and consequently low delay jitter), high link utilization, good disturbance rejection, scalability, and low packet marking probability are other features of the developed method with respect to other well-known AQM methods such as RED, PI, and REM which are also simulated for comparison.