Journal ArticleDOI
ANN for transmission system static security assessment
Sushil Chauhan,M.P. Dave +1 more
TLDR
Computationally efficient artificial neural network technique for assessing the security of the power system against line outages and potential candidate for inclusion in on-line comprehensive security analysis package is presented.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2002-12-01. It has received 9 citations till now. The article focuses on the topics: Electric power system & Artificial neural network.read more
Citations
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Journal ArticleDOI
Static security assessment of power systems: A review
TL;DR: Numerical techniques and machine learning‐based methods are reviewed as two main categories for static security assessment in power systems based on principal features of static security status classification such as type of classifier, the static security index, and feature selection and extraction methods.
Journal ArticleDOI
Fast real power contingency ranking using counter propagation network: feature selection by neuro-fuzzy model
TL;DR: Modified counter propagation network with neuro-fuzzy feature selector is used for real power contingency ranking of the transmission system and the effectiveness of proposed approach is demonstrated on IEEE 30-bus test system and practical 75-bus Indian system.
Journal ArticleDOI
Simulation of an adaptive artificial neural network for power system security enhancement including control action
TL;DR: The developed method is proved to be a steady-state security assessment tool for supplying possible control actions to mitigate an insecure situation resulting from credible contingency and to develop an automatic data knowledge generation method for the adaptive ANN.
Proceedings ArticleDOI
The fault diagnosis of marine engine cooling system based on artificial neural network (ANN)
Junfeng Zhou,Leping Xu +1 more
TL;DR: The basic principle of ANN is introduced, the back propagation (BP) algorithm of neural network, basic structure of BP network and learning algorithm in detail are described and BP algorithm is used to detect and diagnose faults of marine engine cooling system.
Proceedings Article
ANN based dynamic voltage security asessment for a practical power system
TL;DR: In this article, an artificial neural network (ANN) was used to replace time-domain simulation for dynamic voltage security assessment, which can be used to assess the transaction under power market conditions.
References
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Book
Computer methods in power system analysis
TL;DR: This book concentrates on the mathematical formulation of the engineering problem and the appropriate techniques of numerical solution with simple theoretical explanations and is illustrated by many worked out examples and supplemented by engineering problems with realistic data.
Journal ArticleDOI
Automatic Contingency Selection
G. C. Ejebe,Bruce Wollenberg +1 more
TL;DR: A fast technique has been developed for the automatic ranking and selection of contingency cases for a power system contingency analysis study and results of this technique applied to different test systems are presented.
Journal ArticleDOI
Artificial neural-net based dynamic security assessment for electric power systems
Dejan J. Sobajic,Yoh-Han Pao +1 more
TL;DR: This work focuses on examination of that complex mapping and investigation of the influence of the various parameters on CCT, and on synthesizing such complex and transparent mappings.
Journal ArticleDOI
Sparse Vector Methods
TL;DR: The efficiency of the sparse vector methods is verified by tests on a 156-bus, a 1598-bus and a 2265-bus system and the new methods are significantly faster than the established sparse matrix techniques.
Journal ArticleDOI
Short term load forecasting using a multilayer neural network with an adaptive learning algorithm
TL;DR: A multilayer feedforward neural network is proposed for short-term load forecasting and it is found that, once trained by the proposed learning algorithm, the neural network can yield the desired hourly load forecast efficiently and accurately.
Related Papers (5)
Artificial neural network design for fault identification in a rotor-bearing system
Nalinaksh S. Vyas,D Satishkumar +1 more