Artificial Intelligence techniques in Power system

Artificial Intelligence techniques in power system reviews five artificial intelligence tools that are most applicable to engineering problems fuzzy logic, neural networks and genetic algorithms. Each of these tools will be outlined in the paper together with examples of their use in different branches of engineering. Artificial intelligence emerged as a computer science discipline in the mid 1950s. Ever since then, it has generated a number of potent tools, the majority of which might be regarding realistic used in design to resolve hard troubles typically needing human being thinking ability. Three of the tools will likely be evaluated within this report.


Artificial Intelligence Methods used in Power Systems

1.Fuzzy Logic
2.Nueral Networks
3.Genetic Algorithm

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Fuzzy logic has rapidly become one of the most successful of today's technologies for developing sophisticated control systems. The reason for which is very simple. Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from certain or approximate information.

Fuzzy logic potentially has many applications in engineering where the domain knowledge is usually imprecise. Notable successes have been achieved in the area of process and machine control although other sectors have also benefited from this tool.

Better system modeling can be obtained by using neuro fuzzy modeling as seen above, as resultant system occupies a vantage point above both neural and fuzzy logic systems.

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