Power System Contingency Ranking using Fuzzy Logic Based Approach
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2013, Vol 1, Issue 2
Abstract
Voltage stability is a major concern in planning and operations of power systems. It is well known that voltage instability and collapse have led to major system failures. Modern transmission networks are more heavily loaded than ever before to meet the growing demand. One of the major consequences resulted from such a stressed system is voltage collapse or instability. This paper presents fuzzy approach for ranking the contingencies using composite-index based on parallel operated fuzzy inference engine. The Line Flow index (L.F) and bus Voltage Magnitude (VM) of the load buses are expressed in fuzzy set notation. Further, they are evaluated using Fuzzy rules to obtain overall Criticality Index. Contingencies are ranked based on decreasing order of Criticality Index and then provide the comparison of ranking obtained with Fast Voltage Stability Index (FVSI) method.
Authors and Affiliations
A. Y. Abdelaziz*| Electrical Power and Machines Department, Ain Shams University, Cairo, EGYPT, A. T. M. Taha| Electrical Power and Machines Department, Ain Shams University, Cairo, EGYPT, M. A. Mostafa| Electrical Power and Machines Department, Ain Shams University, Cairo, EGYPT, A. M. Hassan| BAPETCO (Badr el din Petroleum Company), Cairo, EGYPT
Keywords
Related Articles
- EP ID EP740
- DOI -
- Views 544
- Downloads 37
Optimal Energy Management System for PV/Wind/Diesel-Battery Power Systems for Rural Health Clinic
Good operation of a hybrid system can be achieved only by a suitable control of the interaction in the operation of the different devices. This paper proposed a supervisory control system that will be used to control and...
Particle Swarm Optimization with Flexible Swarm for Unconstrained Optimization
Particle Swarm Optimization (PSO) algorithm inspired from behaviour of bird flocking and fish schooling. It is well-known algorithm which has been used in many areas successfully. However it sometimes suffers from premat...
Comparative Study of Krill Herd, Firefly and Cuckoo Search Algorithms for Unimodal and Multimodal Optimization
Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various metaheuristic methods can be used for finding the solution in a large s...
Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images
Face recognition is an effective biometric identification technique used in many applications such as law enforcement, document validation and video surveillance. In this paper the effect of low resolution images which a...
A Bee Colony Optimization-based Approach for Binary Optimization
The bee colony optimization (BCO) algorithm, one of the swarm intelligence algorithms, is a population based iterative search algorithm. Being inspired by collective bee intelligence, BCO has been proposed for solving di...