In today's era of advanced technology, Artificial Intelligence has been proven as a boon for various fields. Utilization of AI in power system is the need of upcoming future.
1. Artificial Intelligence in
Power System
(A great demand by the
modern power system)
Presented by: Shrutika N. Hajare
Btech. Student, Electrical Engineering
2. Contents
Introduction
What’s AI?
Need of AI in power System
AI technologies in Power System
Development trends in AI
Application of AI in the system
Advantages and disadvantages
Conclusion
3. Introduction:
Electrical power system is modifying day by day, so it has become very
essential to establish modern technologies in Power System.
Artificial Intelligence is one of these technologies, which can be used for
number of purposes. Basically, AI is the ability using computers to perform
some complex problems to solve, such as image recognition and to judge the
ability to understand such problems.
Traditional AI system includes the problem finding and its instant solution
without disturbing the other system. But the latest development has brought
numerous advantages of AI in various aspects such as fault diagnosis, fault
Analysis, system protection,etc.
4. Need of AI in Power System
To provide the good quality power to the consumer
For increasing the stability and reliability of the system
To reduce the burden on the staff due to the increase in the demand
To ensure safety, and also the economic and reliable operation of the system
For increasing the efficiency of the system in dealing with the fault incidents
To perform the fault analysis effectively
5. AI technologies in Power System
AI technologies are getting modified everyday and so electrical power system
is adopting these latest technologies. Basically AI is the discipline aiming at
research, develop and simulate human brain and it’s rules. Few examples of
AI technologies are brain science, neurology, information technology, etc.
Following are the AI systems used in power system:
A) Artificial Neural Network (ANN)
B) Fuzzy detection and recognition
C) Expert system
D) Genetic Algorithms
6. A) Artificial Neural Network (ANN)
It’s a perspective of number of simulated neurons which are processed.
With the ANN, the mapping of function is performed which helps in different
operations at power system like fault diagnosis and Analysis,etc.
Various characteristics of ANN make it usable in order to check the storage
capacity and also the robustness of the fault.
Fig. Artificial Neural Network
7. B) Fuzzy recognition and detection:
By using Fuzzy theory, mathematical models can be established, and these
models are useful to deal with the practical fault condition like excessive
current.
It’s main applications include transformer protection, Transmission and
distribution power flow rate under various load conditions, external fault
diagnosis, etc.
It also helps in safe operation condition and increase the accuracy of
transmission capacity.
Fig. Fuzzy logic route
8. C) Expert System
Expert System can be called as an intelligent computer software developed by
human expert with Rich professional knowledge and experience in power
system.
It had been seen that, expert system can exceed the level of experts too.
Fig. Expert System Working
9. D) Genetic Algorithms
It gives the optional solution which can be adopted in control strategy.
The algorithm is simplest and robust.
It can be used in solving complex and non linear problems such as power
generation planning, transmission and distribution planning, adjusting
parameters of excitation to solve control problem of reactive power
compensation.
10. Development trends of AI
AI is developing day by day and it’s technologies include Artificial Neural
Network ANN, Fuzzy logic, expert system, and genetic algorithms.
All these technologies have their own advantages and limitations too.
Hybrid intelligence is a newly developing intelligence technique in the AI.
Distributed AI is a branch of AI research in which parallel distributed
computing eventually come into being.
11. The Applications of AI in the system
operation control:
A] DISCRETE CONTROL:-
Load shedding due to generator shut down or system disturbance comes under
the category of discrete control in power system, in such cases ANN Artificial
Neural Network has the approximate function mapping and the parallel
processing capabilities, this helps in such cut load situations.
Also, the power system relay protection which is also a discrete control, these
relay protection detect or judge the normal and fault state.
Fuzzy identification theory contains a large area in the design of relay
protection.
B] Continuous Control:-
Excitation control is a kind of continuous control, which is provided by fuzzy
set theory. It helps in control of voltage and reactive power of the generator.
The fuzzy set theory also helps in increasing the stability of the system.
12. Applications of AI in transient
protection:
Transient protection covers the high frequency detection, fault identification,
transient protection and adaptive reclosing of the unit.
A) Expert system based relay protection:
The relay protection setting includes the calculations through general rules
and comprehensive consideration of the protection system.
B) Fuzzy logic protection:
The fuzzy method is used to detect transformer fault and the high frequency
signals generated by partial discharge and the change of chemical
composition in transformer.
13. Advantages and Disadvantages:
Advantages:
1. Improves the efficiency
2. Reduce the human and material resources
3. Increases the power system security
Disadvantages:
1. with constant improvement in AI, complexity is also increasing.
14. Conclusion:
In near future, the scale of power system will expand, which nesseciates the
use of AI in power system.
To enhance the power system stability and increase it’s efficiency, AI plays
very important role, so it is the need of future to use AI.
The continuous increasing demand of quality power can only be fulfilled with
the AI based power system as it gives the reliable and economic operation of
the system.
