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  1. Ismail Musirin, Titik Khawa Abdul Rahman
    Scientific Research Journal, 2006;3(1):11-25.
    MyJurnal
    Several incidents that occurred around the world involving power failure
    caused by unscheduled line outages were identified as one of the main
    contributors to power failure and cascading blackout in electric power
    environment. With the advancement of computer technologies, artificial
    intelligence (AI) has been widely accepted as one method that can be applied
    to predict the occurrence of unscheduled disturbance. This paper presents
    the development of automatic contingency analysis and ranking algorithm
    for the application in the Artificial Neural Network (ANN). The ANN is
    developed in order to predict the post-outage severity index from a set of preoutage
    data set. Data were generated using the newly developed automatic
    contingency analysis and ranking (ACAR) algorithm. Tests were conducted
    on the 24-bus IEEE Reliability Test Systems. Results showed that the developed
    technique is feasible to be implemented practically and an agreement was
    achieved in the results obtained from the tests. The developed ACAR can be
    utilised for further testing and implementation in other IEEE RTS test systems
    particularly in the system, which required fast computation time. On the other
    hand, the developed ANN can be used for predicting the post-outage severity
    index and hence system stability can be evaluated.
  2. Nurhafizah Jamain, Ismail Musirin, Mohd Helmi Mansor, Muhammad Murtadha Othman, Siti Aliyah Mohd Salleh
    MyJurnal
    This paper presents adaptive particle swarm optimization for solving non-convex economic dispatch problems. In this study, a new technique was developed known as adaptive particle swarm optimization (APSO), to alleviate the problems experienced in the traditional particle swarm optimisation (PSO). The traditional PSO was reported that this technique always stuck at local minima. In APSO, economic dispatch problem are considered with valve point effects. The search efficiency was improved when a new parameter was inserted into the velocity term. This has achieved local minima. In order to show the effectiveness of the proposed technique, this study examined two case studies, with and without contingency.
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