0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
A Survey of the AVOA Metaheuristic Algorithm and its Suitability for Power System Optimization and Damping Controller Design
Authors :
Aliyu Sabo
1
Theophilus Ebuka Odoh
2
Samuel Habu
3
Hossien Shahinzadeh
4
Farshad Ebrahimi
5
1- Universiti Putra Malaysia
2- Universiti Putra Malaysia
3- Water resource Institute
4- Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
5- University of Houston
Keywords :
AVOA،Design of damping controllers،Power system optimization،Metaheuristic algorithm،Power system stability
Abstract :
The performance of metaheuristic optimization techniques is system-dependent, it is essential to ascertain the suitability of an algorithm before its application. This study surveys the suitability of AVOA in damping controller design by reviewing the performance of AVOA in used cases of power system optimization problems and damping controller design. Based on the findings, AVOA is recommended as a good optimizer in power system optimization and damping controller design.
Papers List
List of archived papers
A Vision-Based Method for Human Activity Recognition Using Local Binary Pattern
Babak Goodarzi - Reza Javidan - Mohammad Sadegh Rezaei
FAST: FPGA Acceleration of Neural Networks Training
Alireza Borhani - Mohammad Hossein Goharinejad - Hamid Reza Zarandi
Speech Emotion Recognition Using a Hierarchical Adaptive Weighted Multi-Layer Sparse Auto-Encoder Extreme Learning Machine with New Weighting and Spectral/SpectroTemporal Gabor Filter Bank Features
Fatemeh Daneshfar - Seyed Jahanshah Kabudian
XAI for Transparent Autonomous Vehicles: A New Approach to Understanding Decision-Making in Self-driving Cars
Maryam Sadat Hosseini Azad - Amir Abbas Hamidi Imani - Shahriar Baradaran Shokouhi
A Novel Approach for Image-Text Matching Cross-Modal Space Learning
Amirreza Ebrahimi - Mohammad Javad Parseh - Pejman Rasti
PeQa: a Massive Persian Quenstion-Answering and Chatbot Dataset
Fatemeh Zahra Arshia - Mohammad Ali Keyvanrad - Saeedeh Sadat Sadidpour - Sayyid Mohammad Reza Mohammadi
A Cloud Broker with Gap Analysis Perspective for Scheduling Multi-Workflows Across On-Demand and Reserved Resources
Negin Shafinezhad - Hamidreza Abrishami - Saeid Abrishami
Improvement of Credit Scoring by LSTM Autoencoder Model
Milad Sattari Maleki - Seyedeh Niusha Motevallian - Faezehsadat Hosseini - Mohammad Sabokrou - Hamidreza Soltanalizadeh Maleki
Early detection of Parkinson’s disease using Convolutional Neural Networks on SPECT images
Reyhaneh Dehghan - Marjan Naderan - Seyyed Enayatallah Alavi
Improving Machine Learning Classification of Heart Disease Using the Graph-Based Techniques
Abolfazl Dibaji - Sadegh Sulaimany
more
Samin Hamayesh - Version 41.5.3