Professor Dr. Ismail Musirin | Universiti Teknologi Mara (original) (raw)

Papers by Professor Dr. Ismail Musirin

2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012, 2012

Minimizing the transmission loss in power system is one of the important issues in power system r... more Minimizing the transmission loss in power system is one of the important issues in power system research these days. Transmission loss can be reduced by installing reactive power compensation components. Installing the thyristor controlled series compensator (TCSC) in power system has been known to increase the voltage level in the system and hence reduce the system losses. This paper describes placement and sizing of FACTS devices based on Particle Swarm Optimization for minimization of transmission loss considering voltage profile and cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which have the potential in solving such a problem. In this study one of FACTS device is used as a scheme for transmission loss. For this study, TCSC is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit.

Journal of Theoretical and Applied Information Technology, 2012

This paper presents a study on optimal location and sizing of multiple FACTS devices based on Par... more This paper presents a study on optimal location and sizing of multiple FACTS devices based on Particle Swarm Optimization (PSO) for minimization of transmission losses, and voltage profile improvement, which takes into account the cost of installation. In this study, Static Var Compensator (SVC) and Thyristor
Controlled Series Compensator (TCSC) are chosen as the compensating device for the purposes of maintaining security in power system. Simulations for various loading conditions at several load buses have been conducted in order to evaluate its robustness and feasibility for broad implementation. In addition,
installation of several FACTS devices into the system has been also conducted in the attempt to evaluate their impact to the system in terms of loss reduction and voltage profile improvement. Validation through the application on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. Results from
the study are compared with those obtained from Evolutionary Programming (EP) method in the attempt to highlight its merit.

International Review on Modelling & Simulations, 2012

Mechanism of power system operations become more complex due to the increasing load demand and wh... more Mechanism of power system operations become more complex due to the increasing load demand and which lead to increased pressure and high risk to the transmission line. Therefore power system operation and stability become less safe due to unexpected congestion and voltage violations. In additional, new transmission line is considered one of the solutions to provide a stable operation it is more secure to the power system. However it is more expensive and time consuming which also need to address the political and environmental issues. One of the alternatives which can be employed is the use of Flexible AC Transmission System (FACTS). This paper presents a study on optimal location and sizing of FACTS device based on Particle Swarm Optimization for minimization of transmission losses, voltage profile improvement which takes into account cost of installation. In this study, Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) are chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. In simulation results are compared with those obtained from Evolutionary Programming (EP) and Artificial Immune System (AIS) technique in the attempt to highlight its merit.

International Conference on Computer and Electrical Engineering 4th (ICCEE 2011), 2011

International Journal of Electrical Power & Energy Systems, 2012

ABSTRACT

Expert Systems with Applications, 2014

ABSTRACT The application of fuzzy logic as a decision maker has been widely implemented for solvi... more ABSTRACT The application of fuzzy logic as a decision maker has been widely implemented for solving various engineering problems, especially in the field of voltage stability improvement. Because of this sophisticated tool is very suitable for non-linear system and easy for implementation, many researchers have taken initiative to formulate it according to their point of view. In the meantime, the electricity tracing techniques have also been developed through various theories, nevertheless, only transmission service pricing and electricity deregulation become the subjects of discussion when implementing it. In virtue of that, this paper proposes a new technique for locating the suitable load buses for the purpose of load shedding considering multi-contingencies, that is, by means of stability index tracing. The amount of load power to be shed is determined via a modified version of fuzzy system, which consists of improved membership functions by optimization algorithm. Experiment on IEEE 57-bus and 118-bus reliability test systems (RTS) validates the feasibility of the proposed technique for real system application.

2012 IEEE International Conference on Power and Energy (PECon), 2012

ABSTRACT

Proceedings National Power Engineering Conference 2003 Pecon 2003, 2003

National Power and Energy Conference (PECon) 2003 Proceedings, Bangi, Malaysia 220 Hybrid Neural ... more National Power and Energy Conference (PECon) 2003 Proceedings, Bangi, Malaysia 220 Hybrid Neural Network Topology (HNNT) for Line Outage Contingency Ranking Ismail Musirin, Student Member, IEEE, and Titik Khawa Abdul Rahman, Member, IEEE Abstract-The line outage ...

2008 Australasian Universities Power Engineering Conference, Dec 1, 2008

This paper proposed a fast and accurate computational method to determine the available transfer ... more This paper proposed a fast and accurate computational method to determine the available transfer capability (ATC) in a power system. The methodology utilizes the curve fitting technique so-called as the cubic-spline interpolation technique that is incorporated into the Ralston's method in order to provide fast and accurate estimation of ATC. The Ralston's method is used to predict the two trajectory points of voltage magnitude and power flow. The cubic-spline interpolation technique is then used to accurately trace the P-V or P-S curves between two points of trajectory. The P-V and P-S curves represent as the voltage magnitude and power flow that varies with the increase of ATC. The value of ATC is then determined at the point where the voltage or the power flow limits intersect the curves. The effectiveness of the proposed method is verified by illustrating the ATC evaluation on a Malaysian power system. The ATC results that obtained from the proposed method are satisfactorily accurate and faster than the ATC evaluation using the recursive AC power flow computations.

International Journal of Power and Energy Systems, 2009

Wseas Transactions on Systems and Control, Jun 1, 2011

This paper presents the evolutionary neural networks for the prediction of energy output from a g... more This paper presents the evolutionary neural networks for the prediction of energy output from a gridconnected photovoltaic (GCPV) system. Two evolutionary neural network (ENN) models have been proposed using evolutionary programming and artificial immune system (AIS) respectively. The artificial neural network (ANN) employed for these models utilized solar radiation and ambient temperature as its input whereas the kilowatt-hour energy of the GCPV system is the only targeted output. The evolution of ANN involves the search of the optimal number of nodes, the learning rate, the momentum rate, the transfer function and the learning algorithm of a singlehidden layer multi-layer feedforward ANN. The results showed that evolutionary programming-ANN (EPANN) outperformed artificial immune system-ANN (AISANN) in terms of correlation coefficient, R as well as computation time. In addition, EPANN had also produced better convergence of the evolving parameters compared to the AISANN.

Proceedings of the 8th Wseas International Conference on Artificial Intelligence Knowledge Engineering and Data Bases, Feb 21, 2009

The increment of load variation in a power transmission system can lead to potential failure on t... more The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem through the installation of Thyristor Controlled Series Compensator (TCSC) support. The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made based on two parameters: the location of the devices and it sizes. The TCSC devices are installed in the system in order to enhance the system security; performed on the IEEE 30bus RTS for several loading conditions. The simulations results are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

Proceedings of the 8th Wseas International Conference on Artificial Intelligence Knowledge Engineering and Data Bases, Feb 21, 2009

ABSTRACT

The increment of load variation in a power transmission system can lead to potential failure on t... more The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem through the installation of Static Var Compensator (SVC) support using Evolutionary Programming (EP). The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made on two parameters: the location of the devices and it sizes. The SVC devices are installed in the system in order to enhance the system security; performed on the IEEE 30bus RTS for several loading conditions. The simulations results indicate are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

A critical factor effecting power transmission systems today is power flow control. The increment... more A critical factor effecting power transmission systems today is power flow control. The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem incorporating Unified Power Flow Controller (UPFC). The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made based on two parameters: the location of the devices and it sizes. The UPFC devices are installed in the system in order to enhance the system security; performed on the IEEE 30-bus RTS for several loading conditions. The simulations results are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

2013 15th International Conference on Advanced Communications Technology, 2013

This paper presents a simple heuristic method, combined with a single-swap mutation, for minimizi... more This paper presents a simple heuristic method, combined with a single-swap mutation, for minimizing the use of available channels in wireless communication networks. The task is to allocate carriers or channels to satisfy all demands in each cell for a particular network, subject to a number of constraints. The proposed method is to get the least number of channels without violating the constraint set. We test the proposed methodology on benchmark problems and manage to produce good quality solutions within a few seconds. Some of the results are very close to optimality, making this method suitable for generating initial solutions for population based approaches, such as genetic algorithm and artificial immune systems, to search for even better quality solutions.

Ieee Congress on Evolutionary Computation, Jul 18, 2010

System's loadability is very much depends on the reactive power support in the network. Lack of r... more System's loadability is very much depends on the reactive power support in the network. Lack of reactive power support may results in a serious problem to occur i.e. voltage collapse. This paper presents a method to increase the system's loadability and hence the voltage stability margin of a system by utilizing the Optimal Reactive Power Planning (ORPP). A newly developed optimization technique; namely Multiagent Immune Evolutionary Programming (MAIEP) is introduced to obtain the optimal solution to the problem. The concept of MAIEP is developed based on the combination of Multiagent System, Artificial Immune System and Evolutionary Programming. The proposed MAIEP based ORPP was tested on the IEEE-26 reliability test system in order to realize its performance. The results obtained from the proposed ORPP using MAIEP has successfully improved the load margin and at the same time the total system losses and cost of generation were reduced.

Wseas Transactions on Information Science and Applications, Aug 1, 2009

... Identification of learners' attitudes toward statistics based on classificat... more ... Identification of learners' attitudes toward statistics based on classification of discriminant function. Zamalia Mahmud. Pages: 1259-1268. ... expand. Students' understanding of plagiarism and collusion and recommendations for academics. Zaigham Mahmood. Pages: 1349-1358. ...

2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012, 2012

Minimizing the transmission loss in power system is one of the important issues in power system r... more Minimizing the transmission loss in power system is one of the important issues in power system research these days. Transmission loss can be reduced by installing reactive power compensation components. Installing the thyristor controlled series compensator (TCSC) in power system has been known to increase the voltage level in the system and hence reduce the system losses. This paper describes placement and sizing of FACTS devices based on Particle Swarm Optimization for minimization of transmission loss considering voltage profile and cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which have the potential in solving such a problem. In this study one of FACTS device is used as a scheme for transmission loss. For this study, TCSC is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit.

Journal of Theoretical and Applied Information Technology, 2012

This paper presents a study on optimal location and sizing of multiple FACTS devices based on Par... more This paper presents a study on optimal location and sizing of multiple FACTS devices based on Particle Swarm Optimization (PSO) for minimization of transmission losses, and voltage profile improvement, which takes into account the cost of installation. In this study, Static Var Compensator (SVC) and Thyristor
Controlled Series Compensator (TCSC) are chosen as the compensating device for the purposes of maintaining security in power system. Simulations for various loading conditions at several load buses have been conducted in order to evaluate its robustness and feasibility for broad implementation. In addition,
installation of several FACTS devices into the system has been also conducted in the attempt to evaluate their impact to the system in terms of loss reduction and voltage profile improvement. Validation through the application on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. Results from
the study are compared with those obtained from Evolutionary Programming (EP) method in the attempt to highlight its merit.

International Review on Modelling & Simulations, 2012

Mechanism of power system operations become more complex due to the increasing load demand and wh... more Mechanism of power system operations become more complex due to the increasing load demand and which lead to increased pressure and high risk to the transmission line. Therefore power system operation and stability become less safe due to unexpected congestion and voltage violations. In additional, new transmission line is considered one of the solutions to provide a stable operation it is more secure to the power system. However it is more expensive and time consuming which also need to address the political and environmental issues. One of the alternatives which can be employed is the use of Flexible AC Transmission System (FACTS). This paper presents a study on optimal location and sizing of FACTS device based on Particle Swarm Optimization for minimization of transmission losses, voltage profile improvement which takes into account cost of installation. In this study, Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) are chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. In simulation results are compared with those obtained from Evolutionary Programming (EP) and Artificial Immune System (AIS) technique in the attempt to highlight its merit.

International Conference on Computer and Electrical Engineering 4th (ICCEE 2011), 2011

International Journal of Electrical Power & Energy Systems, 2012

ABSTRACT

Expert Systems with Applications, 2014

ABSTRACT The application of fuzzy logic as a decision maker has been widely implemented for solvi... more ABSTRACT The application of fuzzy logic as a decision maker has been widely implemented for solving various engineering problems, especially in the field of voltage stability improvement. Because of this sophisticated tool is very suitable for non-linear system and easy for implementation, many researchers have taken initiative to formulate it according to their point of view. In the meantime, the electricity tracing techniques have also been developed through various theories, nevertheless, only transmission service pricing and electricity deregulation become the subjects of discussion when implementing it. In virtue of that, this paper proposes a new technique for locating the suitable load buses for the purpose of load shedding considering multi-contingencies, that is, by means of stability index tracing. The amount of load power to be shed is determined via a modified version of fuzzy system, which consists of improved membership functions by optimization algorithm. Experiment on IEEE 57-bus and 118-bus reliability test systems (RTS) validates the feasibility of the proposed technique for real system application.

2012 IEEE International Conference on Power and Energy (PECon), 2012

ABSTRACT

Proceedings National Power Engineering Conference 2003 Pecon 2003, 2003

National Power and Energy Conference (PECon) 2003 Proceedings, Bangi, Malaysia 220 Hybrid Neural ... more National Power and Energy Conference (PECon) 2003 Proceedings, Bangi, Malaysia 220 Hybrid Neural Network Topology (HNNT) for Line Outage Contingency Ranking Ismail Musirin, Student Member, IEEE, and Titik Khawa Abdul Rahman, Member, IEEE Abstract-The line outage ...

2008 Australasian Universities Power Engineering Conference, Dec 1, 2008

This paper proposed a fast and accurate computational method to determine the available transfer ... more This paper proposed a fast and accurate computational method to determine the available transfer capability (ATC) in a power system. The methodology utilizes the curve fitting technique so-called as the cubic-spline interpolation technique that is incorporated into the Ralston's method in order to provide fast and accurate estimation of ATC. The Ralston's method is used to predict the two trajectory points of voltage magnitude and power flow. The cubic-spline interpolation technique is then used to accurately trace the P-V or P-S curves between two points of trajectory. The P-V and P-S curves represent as the voltage magnitude and power flow that varies with the increase of ATC. The value of ATC is then determined at the point where the voltage or the power flow limits intersect the curves. The effectiveness of the proposed method is verified by illustrating the ATC evaluation on a Malaysian power system. The ATC results that obtained from the proposed method are satisfactorily accurate and faster than the ATC evaluation using the recursive AC power flow computations.

International Journal of Power and Energy Systems, 2009

Wseas Transactions on Systems and Control, Jun 1, 2011

This paper presents the evolutionary neural networks for the prediction of energy output from a g... more This paper presents the evolutionary neural networks for the prediction of energy output from a gridconnected photovoltaic (GCPV) system. Two evolutionary neural network (ENN) models have been proposed using evolutionary programming and artificial immune system (AIS) respectively. The artificial neural network (ANN) employed for these models utilized solar radiation and ambient temperature as its input whereas the kilowatt-hour energy of the GCPV system is the only targeted output. The evolution of ANN involves the search of the optimal number of nodes, the learning rate, the momentum rate, the transfer function and the learning algorithm of a singlehidden layer multi-layer feedforward ANN. The results showed that evolutionary programming-ANN (EPANN) outperformed artificial immune system-ANN (AISANN) in terms of correlation coefficient, R as well as computation time. In addition, EPANN had also produced better convergence of the evolving parameters compared to the AISANN.

Proceedings of the 8th Wseas International Conference on Artificial Intelligence Knowledge Engineering and Data Bases, Feb 21, 2009

The increment of load variation in a power transmission system can lead to potential failure on t... more The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem through the installation of Thyristor Controlled Series Compensator (TCSC) support. The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made based on two parameters: the location of the devices and it sizes. The TCSC devices are installed in the system in order to enhance the system security; performed on the IEEE 30bus RTS for several loading conditions. The simulations results are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

Proceedings of the 8th Wseas International Conference on Artificial Intelligence Knowledge Engineering and Data Bases, Feb 21, 2009

ABSTRACT

The increment of load variation in a power transmission system can lead to potential failure on t... more The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem through the installation of Static Var Compensator (SVC) support using Evolutionary Programming (EP). The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made on two parameters: the location of the devices and it sizes. The SVC devices are installed in the system in order to enhance the system security; performed on the IEEE 30bus RTS for several loading conditions. The simulations results indicate are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

A critical factor effecting power transmission systems today is power flow control. The increment... more A critical factor effecting power transmission systems today is power flow control. The increment of load variation in a power transmission system can lead to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper presents Evolutionary Programming (EP) techniques for solving reactive power problem incorporating Unified Power Flow Controller (UPFC). The objective of the study is to employ EP optimization technique for loss minimization along with installation cost calculation and voltage profile monitoring. The optimizations are made based on two parameters: the location of the devices and it sizes. The UPFC devices are installed in the system in order to enhance the system security; performed on the IEEE 30-bus RTS for several loading conditions. The simulations results are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.

2013 15th International Conference on Advanced Communications Technology, 2013

This paper presents a simple heuristic method, combined with a single-swap mutation, for minimizi... more This paper presents a simple heuristic method, combined with a single-swap mutation, for minimizing the use of available channels in wireless communication networks. The task is to allocate carriers or channels to satisfy all demands in each cell for a particular network, subject to a number of constraints. The proposed method is to get the least number of channels without violating the constraint set. We test the proposed methodology on benchmark problems and manage to produce good quality solutions within a few seconds. Some of the results are very close to optimality, making this method suitable for generating initial solutions for population based approaches, such as genetic algorithm and artificial immune systems, to search for even better quality solutions.

Ieee Congress on Evolutionary Computation, Jul 18, 2010

System's loadability is very much depends on the reactive power support in the network. Lack of r... more System's loadability is very much depends on the reactive power support in the network. Lack of reactive power support may results in a serious problem to occur i.e. voltage collapse. This paper presents a method to increase the system's loadability and hence the voltage stability margin of a system by utilizing the Optimal Reactive Power Planning (ORPP). A newly developed optimization technique; namely Multiagent Immune Evolutionary Programming (MAIEP) is introduced to obtain the optimal solution to the problem. The concept of MAIEP is developed based on the combination of Multiagent System, Artificial Immune System and Evolutionary Programming. The proposed MAIEP based ORPP was tested on the IEEE-26 reliability test system in order to realize its performance. The results obtained from the proposed ORPP using MAIEP has successfully improved the load margin and at the same time the total system losses and cost of generation were reduced.

Wseas Transactions on Information Science and Applications, Aug 1, 2009

... Identification of learners' attitudes toward statistics based on classificat... more ... Identification of learners' attitudes toward statistics based on classification of discriminant function. Zamalia Mahmud. Pages: 1259-1268. ... expand. Students' understanding of plagiarism and collusion and recommendations for academics. Zaigham Mahmood. Pages: 1349-1358. ...