A persistent and reliable supply of power is vital for the working of today's modern and advanced society. From mid1980's to today, the majority of the efforts in power system analysis has moved in the opposite direction of the system of formal mathematical modelling which originated from the territories of operations research, control theory and numerical analysis to the less rigorous and less tiring strategies of Artificial Intelligence (AI). Control frameworks continue expanding on the premise of geographical regions, asset addition, and introduction of new advancements in system, transmission and distribution of power. AI procedures have turned out to be famous for taking care of various issues in power frameworks like control, arranging, booking, figure, and so on. These methods can manage troublesome undertakings confronted by applications in present day extensive power frameworks with much more interconnections installed to take care of increased load demand. The utilization of these methods has been effective in numerous regions of power system engineering.

Power system analysis by traditional systems turns out to be more troublesome due to:

(i) Complex, flexible and vast measure of data which is utilized as a part of estimation, conclusion and learning.

(ii) Increase in the computational time period and accuracy due to extensive and inconceivable system data handling.

The cutting edge power system operates near the limits because of the regularly expanding energy utilization and the augmentation of presently existing electrical transmission systems and lines. This circumstance requires a less conventional power system and control operation which is conceivable just by consistently checking the framework states in substantially more detail way than it was vital. Complex PC instruments are presently the essential apparatuses in tackling the troublesome issues that emerge in the territories of energy framework arranging, operation, determination and plan. Among these PC devices, Artificial Intelligence has developed prevalent as of late and has been connected to different territories of power system.


  • Operation of power system like hydro-thermal coordination, congestion management, load and power flow.
  • Planning like generation expansion planning, power system reliability, reactive power planning.
  • Control of power system like voltage control, load frequency control.control, power flow control
  • Control of power plants like fuel cell power plant control, thermal power plant control.
  • Control of network like location, sizing and control of FACTS devices.
  • Electricity markets like strategies for bidding, analysis of electricity markets.
  • Automation of power system like restoration, management, fault diagnosis, network security.
  • Forecasting application like short term and long term load forecasting, electricity market forecasting, solar power forecasting, wind power forecasting

Application of artificial intelligence can enhance power systems in following ways:-

Network Parameter Calculation

  • Due to constraints of a practical transmission and distribution system, the exact values of network parameters needs be obtained. As ANNs perform biological evaluation of real world problems, by taking in various factors like environmental factors, unbalancing conditions, and other possible problems. Also the values of resistance, capacitance and inductance of a transmission line can be given as inputs and a combined, normalized value of the problems in generation, transmission and distribution of electricity can be fed to the ANNs so that a suitable solution can be obtained. For example, the value of inductance, capacitance and resistance in a transmission parameter can be obtained. In this way skin effect and proximity effect can be reduced to a certain extent.

Performance in uncertain situations

  • Fuzzy logic allows a particular level of ambiguity throughout an analysis. Because this ambiguity can specify available information and minimize problem complexity, fuzzy logic is useful in many applications. For power systems, fuzzy logic is suitable for applications in many areas where the available information involves uncertainty.