A. Hasanovic

West Virginia University

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i-10 index

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Co-Authors

A. Feliachi

West Virginia University

Karl Schoder

Florida State University

Dulpichet Rerkpreedapong

Kasetsart University

Navin Bhatt

Electric Power Research Institute

K. Schode

West Virginia University

Kourosh Sedghisigarchi

California State University, Northridge

A. Davari

Universidade Estadual de Campinas (UNICAMP)

A.G. DeGroff

American Electric Power (United States)

N. Atic

West Virginia University

Cooperative Institutions

West Virginia University

Morgantown High School

Public Service Electric and Gas (United States)

American Electric Power (United States)

West Virginia University Institute of Technology

Electric Power Research Institute

ECRI Institute

Laser Science & Technology Centre

Radar (United States)

Iowa State University

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PAT: a power analysis toolbox for MATLAB/simulink

IEEE Transactions on Power Systems (2003)

Karl Schoder A. Hasanovic A. Feliachi A. Hasanovic

A power system simulation environment in MATLAB/Simulink is presented in this paper. The developed power analysis toolbox (PAT) is a very flexible and modular tool for load flow, transient, and small-signal analysis of electric power systems. Standard power system component models and a wide range of flexible AC transmission systems (FACTS) devices are included. Its data structure and block library have been tested to confirm its applicability to small-to-medium-sized power systems. Its advantages over an existing commercial package are given.

Toolbox

Transient (computer programming)

Power transmission

Power system simulation

10.1109/tpwrs.2002.807117

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Citations (92)

NERC compliant decentralized load frequency control design using model predictive control

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) (2004)

N. Atic Dulpichet Rerkpreedapong A. Hasanovic A. Feliachi

This paper presents a decentralized model predictive control (MFC) design for the load frequency control (LFC) problem. The proposed algorithm has two objectives, (1) to assure compliance with control performance standards CPS1 and CPS2 set by NERC, and (2) to reduce wear and tear of generating units. A nonlinear simulation of a test system with multiple generation and distribution companies including regulation and load following services is performed to illustrate the proposed control scheme.

Model Predictive Control

Automatic Generation Control

Load regulation

Control area

Nonlinear model

10.1109/pes.2003.1270357

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Citations (32)

Low order transfer function identification and robust PSS control design

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) (2004)

A. Hasanovic A. Feliachi

This paper presents a low order identification technique suitable for power system damping controller design, which is based on standard Prony analysis. The proposed identification technique when combined with a robust controller design can be used to tune power system stabilizers (PSSs) for a number of operating conditions. Technical background of the method is presented first, and then a benchmark power system model is used to illustrate the proposed identification and controller design techniques.

Benchmark (surveying)

Identification

Design methods

10.1109/pes.2003.1267415

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Citations (2)

Evaluation of three algorithms for nonlinear control of a DC shunt motor

Kourosh Sedghisigarchi A. Hasanovic A. Feliachi A. Davari

The problem of speed control of a DC shunt motor is considered. The objective of the paper is to evaluate the strengths and limitations of three different nonlinear control design methods for the speed of a shunt DC motor. These methods are: feedback linearization, input-output linearization, and fuzzy logic control. These three methods are described in the paper. The simulation results are presented for a DC shunt motor while load torque is changing.

Linearization

Feedback linearization

Electronic speed control

10.1109/ssst.2001.918555

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Citations (8)

Unified Power Flow Controllers

Industrial electronics series (2001)

A. Feliachi A. Hasanovic

10.1201/9781420037067.ch20

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Citations (1)

PAT: A Power Analysis Toolbox for MATLAB/Simulink

IEEE Power Engineering Review (2002)

Karl Schoder A. Hasanovic A. Feliachi

A power system simulation environment in MATLAB/Simulink is presented in this paper. The developed Power Analysis Toolbox (PAT) is a very flexible and modular tool for load flow, transient and small signal analysis of electric power systems. Standard power system component models and a wide range of FACTS devices are included. Its data structure and block library have been tested to confirm its applicability to small-to medium-sized power systems. Its advantages over an existing commercial package are given.

Toolbox

Transient (computer programming)

Component (thermodynamics)

10.1109/mper.2002.4311828

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Citations (7)

Power system damping using fuzzy controlled unified power flow controller

2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) (2002)

Karl Schoder A. Hasanovic A. Feliachi

The paper presents a design of a UPFC damping controller using two fuzzy logic schemes one based on Mamdani inference engine using the center of gravity method to find the controller output, and the second based on Takagi-Sugeno engine computing the controller output as linear combination of the inputs. Fuzzy control design is attractive for nonlinear systems application because it does not require a mathematical model, and it can cover a wide range of operating conditions. The advantages of the proposed controllers are their feasibility guaranteed by the use of a local measurement, which in this case is the tie line power flow, and their simplicity. The effectiveness of the controllers under dynamic conditions is illustrated through nonlinear simulations of a two area-four-machine power system. Simulations are carried out using the Power System Toolbox (PST).

Open-loop controller

10.1109/pesw.2001.916920

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Citations (18)

Robust load frequency control using genetic algorithms and linear matrix inequalities

IEEE Transactions on Power Systems (2003)

Dulpichet Rerkpreedapong A. Hasanovic A. Feliachi

In this paper, two robust decentralized control design methodologies for load frequency control (LFC) are proposed. The first one is based on H/sub /spl infin// control design using linear matrix inequalities (LMI) technique in order to obtain robustness against uncertainties. The second controller has a simpler structure, which is more appealing from an implementation point of view, and it is tuned by a proposed novel robust control design algorithm to achieve the same robust performance as the first one. More specifically, genetic algorithms (GAs) optimization is used to tune the control parameters of the proportional-integral (PI) controller subject to the H/sub /spl infin// constraints in terms of LMI. Hence, the second control design is called GALMI. Both proposed controllers are tested on a three-area power system with three scenarios of load disturbances to demonstrate their robust performances.

Robustness

Linear matrix inequality

10.1109/tpwrs.2003.811005

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Citations (469)

Enhancing transient stability using a fuzzy control scheme for the unified power flow controller (UPFC)

K. Schode A. Hasanovic A. Feliachi

This paper proposes a power system oscillation damping scheme via a supplementary signal applied to a Unified Power Flow Controller (UPFC). The supplementary signal is based on the active power flow along the transmission line. The controller designed is based on fuzzy logic. The UPFC model and its controls are implemented in the Power System Toolbox (PST). To demonstrate the effectiveness of the controller under dynamic conditions a two area power system is used. When a large disturbance is applied, simulation results show that the UPFC can significantly enhance power system operation and performance.

Transient (computer programming)

10.1109/mwscas.2000.951471

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Citations (13)

Load-flow and dynamic model of the unified power flow controller (UPFC) within the Power System Toolbox (PST)

Karl Schoder A. Hasanovic A. Feliachi

To assess the UPFCs capabilities through simulation, a software tool is needed. The Power System Toolbox (PST) has several power device models but not the UPFC. This paper develops a UPFC module that is integrated within the PST. It consists of three components: a steady-state model or load-flow model, a dynamic model, and an interface algorithm. All of these three components are described in this paper following the section on the UPFCs basic operation. A two-area-four-generator power system with a UPFC is used to demonstrate the proposed tools.

Toolbox

Interface (matter)

10.1109/mwscas.2000.952837

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Citations (20)