Expert system assisting decision-making at LDC for the national electrical grid faults

Abstract

Artificial Intelligence has undergone tremendous development as well as revolutionary chaMge in computer science since its birth at Dartmouth college, USA in 1966. As a result of these development, Expert systems have emerged as an applied branch of AI. The application of AI methodologies to the power system is a new area of research. The behavior of the modern interconnected grid system has .become more and more complicated~ causing decision making process to be increasely difficult. This study is aimed to develop an ~xpert system to assist the decision making and to suggest the necessary actions by applying the expert knowledge in order to ensure the national grid supply normal. With reference to the system analysis, the power Development Board (POB) of Bangladesh has a Load Dispatch Center (LDC). The objective of this center is to make co-ordination between the demand and generation through out the whole country. In order to do so the"LOe has to make liaison with more or less thirty (30) ,; ~ower stations near about sixty four (64) sub-stations located at different places of Bangladesh and to face the related electrical • faults so as to ensure normal power supply in the grid~ In this contest the first part of this work i- to make study" and survey about the expert system and then to examine the possibilities to develop an expert system for the proposed field. Since acquiring the knowledge is a heart of ari expert system, so VI the next portion of this work describes the knowledge acquisition techniques from domain expert~ This knowledges is incorporated in the data base in terms of production rules and program was developed by PROLOG. finally the It is expected that the developed expert system will offer quick optimum decision both by text and in graphics during the time of electrical faults to the system operatqrs and will be a valuable tool for Load Dispatch Center of PDB.