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A PRESENTATION ON ARTIFICIAL INTELLIGENCE IN POWER SYSTEM

PREPARED BY :- Rahul kumar jha ELECTRICAL 2075

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Contents

  • Introduction
  • Need for AI in Power system
  • Artificial Intelligence Techniques
  • Advantages
  • Disadvantages
  • Applications
  • Conclusion
  • References

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Power Systems and Artificial Intelligence

•An electric power system is a network of electrical components used to supply, transmit and use electric power. Power system engineering deals with the generation, transmission, distribution and utilization of electric power and other electrical devices.

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• Artificial Intelligence is known to be the intelligence exhibited by machines and software, for example, robots and computer programs.

• The term is generally used to the developing systems equipped with the intellectual processes and characteristics of humans, like ability to think, reason, find the meaning, etc.

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Need for AI in Power Systems

  • Power system analysis by conventional techniques becomes more difficult because of: (a) Complex, versatile and large amount of information which is used in calculation, diagnosis and learning.

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  • (b) Increase in the computational time period and accuracy due to extensive and vast system data handling.

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Artificial Intelligence Techniques

  • Three major families of AI techniques are considered to be applied in modern power system protection

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  • Expert System Techniques (XPSs)

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  • Artificial Neural Networks (ANNs)

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  • Fuzzy logic systems (FL).

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Expert Systems

  • An expert system obtains the knowledge of a human expert in a narrow-specified domain into a machine implementable form.

  • Expert systems are computer programs which have proficiency and competence in a particular field.

  • They are also called knowledge based or rule-based systems.

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Artificial Neural Netwoks

  • Artificial neural network are biologically inspired systems which convert a set of inputs into a set of outputs by a network of neurons, where each neuron produces one output as a function of input.

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Fuzzy Logic

  • Fuzzy logic is the way in which human brain works, and we can use this technology in machines so that they can perform somewhat like humans. It provides expressive power and higher capability to model complex problems.

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Advantages

  • AI techniques are permanent and consistent.
  • Processing speed is good.
  • They are fast and robust.
  • They are fault tolerant.
  • Easy to document and reproduce.

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Disadvantages

  • AI techniques are unable to learn or adapt for new problems or situations.
  • They have large dimensionality.
  • They are not scalable.

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Applications

  • AI techniques can be used to improve the performance of transmission line.
  • Control of power system like voltage control, stability control, power flow control, load frequency control is possible.
  • Load forecasting.
  • Fault diagnosis.
  • Stability analysis and enhancement.
  • Reactive power planning and its control.

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Conclusion

  • The main feature of power system design and planning is reliability. Conventional techniques don't fulfill the probabilistic essence of power systems.This leads to increase in operating and maintenance costs.Plenty of research is performed to utilize the current interest on Artificial Intelligence for power system applications.

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References

  • Warwick k, Ekwue A. and Aggarwal R.(ed).Artificial intelligence techniques in power systems.The institution of Electrical Engineers, London, 1997
  • International Journal of Engineering Intelligent Systems,The special issue on AI applications to power system protection, edited by M.M.Saha and B.Kasztenny, vol.5,No.4,December 1997, pp.185-93.
  • Artificial Intelligence in Power systems by R.Pasupathi Nath, V.Nishanth Balaji IOSR Journal of Computer Enginering (IOSR-JCE) E-ISSN:2278-0661, p-ISSN: 2278-8727.

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THANK YOU

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