This document outlines the use of artificial intelligence for power system control. It discusses objectives like power savings, cost savings, and eliminating manual switching to prevent accidents. The methodology describes the typical architecture of an artificial neural network with an input layer to receive data, a middle or hidden layer to map patterns, and an output layer to provide predictions. The summary states that the research aims to show how AI can help electrical systems by making intelligent judgments and decisions based on system needs, such as through the use of robots and computer software.

1. Orientation
MD. ARIFUL ISLAM
ID: 21202028

2. Artificial Intelegence
for Power System
Control

3. Table of contents
Objectives
Methodology
Title
Summery
1
2
3
4

4. Objectives
Power Savings
1
2
3
Cost Savings
Eliminates manual switching
Prevent accident
4

5. Methodology
• Input layer: The input layer begins the function's
operation. It does not execute any tasks; instead, it
assigns work or programmers to the other levels.
• Middle or Hidden layer: It’s not apparent from the
outside of network since it’s concealed between the
two layer, yet it aids both levels in charting and
mapping nonlinear networks.
• Output Layer: The output layer consists of nodes
that represent various values to be assigned to the
situation at hand.

6. Fig: The Architecture of a Feed forward ANN and the ANN three Layers.

7. Fig: The Typical Structure of the ANN having different layers.

8. Summery
• The goal of this research was to define AI and show how it
may assist the electrical system. AI is known for making
intelligent judgments depending on the demands of
systems, according to the article. Robots and computer
software, for example, employ artificial intelligence.

9. Any
Question?

10. THANK
YOU
Artificial Intelegence
for Power System
Control