Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ismail Musirin"'
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
This paper presents an assessment of different evolutionary programming (EP) techniques for solving single-objective optimization problem. Evolutionary programming has been widely used and applied with success in solving many kinds of optimization pr
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
Unit commitment is among of the key elements in power system planning. Unit commitment is extensively applied by the power utilities to plan the optimal dispatch of generating units in the system. In the deregulated power system industry, it is impor
Autor:
Zulkifli Othman, N. A. Mohd Saad, S. A. M. Al Junid, Ismail Musirin, Khairul Khaizi Mohd Shariff, Muhamad Nabil Hidayat
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
In this paper, the pulse with modulation as switching strategy for neutral point type buck-boost converter is introduced. The proposed control strategy is implemented and applied to electronic ballast by using neutral point type buck boost converter.
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
This paper presents hybrid Taguchi-Artificial Neural Network to detect incipient faults in oil-immersed power transformer. It involved the development of Artificial Neural Network (ANN) designs and embedding Taguchi methodology to fine tune the param
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
This paper presents a new Embedded Meta Evolutionary-Firefly Algorithm (EMEFA) for DG installation which considers the effect of population size on loss and cost minimization while improving the performance of the system. The proposed EMEFA technique
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
This paper presents an approach to sigma multiobjective optimization particle swarm (σ-MOPSO) technique for optimal allocation of Flexible AC Transmission System (FACTS) devices. For this study, Static Var Compensator (SVC) is selected as a compensa
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
This paper introduces a new concept of artificial intelligence based algorithm for clustering the placement of SVCs in power system. The algorithm is based on particle swarm optimization (PSO) technique with objective function to minimize the transmi
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
The concept of non-discrimination in deregulated power system is still in debate as the conventional techniques are incapable of establishing fair losses charge allocation. Some of the recent power tracing techniques is workable for nondiscriminatory
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
Protection system plays an important function in maintaining the stability and reliability of the electric power grid. However, most of the major blackouts happened throughout the world has identified that hidden failure of a protection system is one
Publikováno v:
2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).
Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be p