# Application of Neural Networks in Power Systems; A Review

@article{Haque2007ApplicationON, title={Application of Neural Networks in Power Systems; A Review}, author={Mehrdad Tarafdar Haque and Atabak Mashhadi Kashtiban}, journal={International Journal of Energy and Power Engineering}, year={2007}, volume={1}, pages={897-901} }

The electric power industry is currently undergoing an unprecedented reform. One of the most exciting and potentially profitable recent developments is increasing usage of artificial intelligence techniques. The intention of this paper is to give an overview of using neural network (NN) techniques in power systems. According to the growth rate of NNs application in some power system subjects, this paper introduce a brief overview in fault diagnosis, security assessment, load forecasting…

## 87 Citations

Artificial Neural Network for Power System Static Security Assessment: A Survey

- Computer Science
- 2013

A comprehensive survey of Artificial Neural Network in Static Security Assessment (SSA) and the links between the fields of SSA and NN are explored in a unified presentation and key areas for future research are identified.

Load flow estimaton in electrical systems using artificial neural networks

- Engineering, Computer Science2012 International Conference and Exposition on Electrical and Power Engineering
- 2012

If the network is trained with a sufficient amount of bus loading scenarios, for which the resulting bus voltages are known, then the MLP network is capable of finding with a satisfactory precision the bus volts when providing to it new bus P and Q values.

Artificial neural network application for prediction of reactive power compensation under line outage contingency

- Engineering2013 International Conference on Power, Energy and Control (ICPEC)
- 2013

Static VAR Compensator is a variable impedance device where the current through a reactor is controlled using back to back thyristor connected valves. In this paper a successful attempt has been made…

Genetic Neural Networks-Based Strategy for Fast Voltage Control in Power Systems

- Engineering
- 2010

In this paper, a new technique for voltage and reactive power control based on genetic-ANN is proposed. Genetic algorithm is employed to give more proper initial weights for the decision-making…

On-line power systems voltage stability monitoring using artificial neural networks

- Engineering2015 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
- 2015

A method for on-line voltage stability monitoring of a power system based on Multilayer Perceptron (MLP) neural network is proposed in this paper. Considering that the power system is operating under…

The use of artificial intelligent in power system stability

- Engineering, Computer Science
- 2015

A Genetic Algorithm (GA) optimization process is introduced in order to tune the parameters of a CPSS in a Single Machine Infinite Bus system to maximize the dampening ratio of all oscillatory modes.

Voltage and Reactive Power Control Simulations Using Neural Networks

- Engineering
- 2011

This paper presents a simultaneous formulation for the optimal reactive power control problem using the Artificial Neural Network (ANN). The objectives are to minimize active power losses and improve…

Assessment and Comparative Study of Different Enhanced Artificial Neural Networks Based Power Flow Solutions

- Engineering
- 2014

The proposed feed-forward model of the neural network based on back propagation algorithm (BP) and a radial basis function neural network (RBFNN) are proposed to solve the load flow problem under different loading/contingency condition for computing voltage magnitudes and angles of a power system.

Deep learning in electrical utility industry: A comprehensive review of a decade of research

- Computer ScienceEng. Appl. Artif. Intell.
- 2020

## References

SHOWING 1-10 OF 51 REFERENCES

Neural networks for short-term load forecasting: a review and evaluation

- Engineering
- 2001

This review examines a collection of papers (published between 1991 and 1999) that report the application of NNs to short-term load forecasting, and critically evaluating the ways in which the NNs proposed in these papers were designed and tested.

Short-term load forecasting using artificial neural networks

- Engineering41st North American Power Symposium
- 2009

The deregulation of the power system industry has made short term load forecasting increasingly important. This paper presents an artificial neural network based hour ahead load forecasting model…

Power system topology verification using artificial neural networks: maximum utilization of measurement data

- Computer Science2003 IEEE Bologna Power Tech Conference Proceedings,
- 2003

This approach assumes maximal utilization of measurement data differently than in many other papers devoted to topology verification with use of ANNs, which makes possible to increase a number of relationships and also to increase theoretical knowledge used in the verification process.

Fuzzy ART neural network algorithm for classifying the power system faults

- Computer ScienceIEEE Transactions on Power Delivery
- 2005

Simulation results show improved algorithm recognition capabilities when compared to a previous version of ART algorithm for each of the implemented scenarios.

Medium-term load forecasting with artificial neural network models

- Engineering
- 2001

A new approach to the medium-term load forecasting which uses artificial neural networks and fuzzy techniques is described which must be understood as the assessment of the power consumption as load profiles with hourly values for 48 characteristic days within a year.

ANN approach applied to combined economic and emission dispatch for large-scale system

- EconomicsProceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)
- 2002

This proposed algorithm of artificial neural network (ANN) applied to combined economic and emission dispatch using a price penalty factor suitable to large scale system is applied.

Overview and literature survey of fuzzy set theory in power systems

- Computer Science
- 1995

A survey of publications on applications of fuzzy set theory to power systems and the basic procedures for fuzzy set based methods to solve specific power systems problems is presented.

Long-Term Load Forecasting for Fast-Developing Utility Using a Knowledge-Based Expert System

- Computer ScienceIEEE Power Engineering Review
- 2002

A knowledge-based expert system is implemented to support the choice of the most suitable load forecasting model for medium/long-term power system planning.

Automatic power quality recognition system using wavelet analysis

- Engineering2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings
- 2004

The quality of electricity has been gaining more emphasis among utilities, service sectors and consumers. They have to maintain the quality by strategic measures in coping with all sort of…

Three-phase active power filter control using neural networks

- Computer Science, Engineering2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)
- 2000

A new control method for active power filters (APF) using neural networks is presented, designed with two blocks that include neural networks that include feedforward network that works as a hysteresis band comparator.