ai-in-power-system-36016 - Vaishnavi Muley.pptx

This presentation gives the information about Ai in power system

1. 06/03/2021 AI IN POWER SYSTEM. Presented By- Muley Vaishnavi D. Guided By- Prof. P.H.Durole Welcome

2. CONTENT Introduction Brief on System Conclusion References

3. Introduction What is Power System? An electric power system is a network of electrical components used to supply, transmit and use electric power . Power systems engineering is a subdivision of electrical engineering that deals with the generation, transmission, distribution and utilization of electric power and the electrical devices connected to such systems like generators, motors and transformers .

4. What is Artificial Intelligence? AI is known to be the intelligence exhibited by machine and software , for example ,robots and computer programs. The terms is generally used to be developing system equipped with the intellectual processes and characteristics of humans, like ability to think ,reason, find the meaning.

5. Real time Application of Artificial Intelligence Marketing. Banking. Social media. Digital Assistants. Electrical Power System.

6. Why Artificial Intelligence Use In Power System T he growth of the power system, complexity in the networks is increased tremendously. For industrial development with power system expansion; stability, strengthening, reliability, technical advancements, selection and dynamic response of the power system are essential. As a consequence of this power system analysis by conventional techniques and conclusions from the acquired data, the process for the information, management of remote devices and utility became more complicated and time-consuming .

7. Modern AI technologies include the following techniques: Expert System Techniques (XPS) Fuzzy Logic systems (FL) Genetic algorithm (GA ) Artificial Neural Networks (ANNs)

8. 1.Artificial Neural Networks (ANNs) ANN mathematical models simulate the human biological neural network for processing information where each neuron produces one output as a function of inputs. Each type of neural network is capable of some specific work after being trained and is able to conclude a function from observations faced in real life such as function approximation, classification, data processing, etc .

9. How ANNs can be used in power systems: T he problems in generation, transmission and distribution of electricity can be fed to the ANNs so that a suitable solution can be obtained. Given the constraints of a practical transmission and distribution system, the exact values of parameters can be determined .For example, the value of inductance, capacitance and resistance in a transmission line can be numerically calculated by ANNs taking in various factors like environmental factors, unbalancing conditions, and other possible problems.

10. Conclusion The most recent techniques which are used for distance protection of transmission line. Neural network is considered to be a fast, robust and accurate technique. But, fuzzy logic systems are subjective and heuristic and are simpler than the wavelet transform or the neural network based techniques. Better performance is obtained with GA as compared to conventional techniques. But, most of the available tools for fault detection and classification are not efficient and are not investigated for real time implementation. So, for this there is a need for new algorithms that have high efficiency and suitable for real time usage. All these techniques have their own features and researches are still going on to obtain lesser operating time of relay at high speed.

11. Reference:- http :// iosrjournals.org/iosr-jce/papers/necon/volume-1/B.pdf https:// towardsdatascience.com/how-artificial-intelligence-is-impacting-our-everyday-lives-eae3b63379e1 https://www.electricalindia.in/artificial-intelligence-an-advanced-approach-in-power-systems/#:~:text=AI%20%E2%80%93%20New%20Applications%20in%20Power%20Systems&text=Current%20approach%20of%20AI%20in,Cell%20and%20thermal%20power%20plant. https ://www.youtube.com/watch?v=EYeF2e2IKEo https:// jcboseust.ac.in/electrical/images/notes/aitech_ug_ai_reactive_power_control.pdf

12. THANK YOU