Evolutionary Programming Approach for Deregulated Power Systems to Optimal Positioning of FACTS Devices
Journal Title: International Journal of Intelligent Engineering and Systems - Year 2017, Vol 10, Issue 2
Abstract
From past decade, the major issues involved in deregulated power systems are branch loading and voltage stability. To address this issue, in this paper an evolutionary programming algorithm was proposed for optimal positioning of FACTS devices. The Evolutionary Programming algorithm considers the FACTS devices and line numbers to generate the population. The proposed approach considered three objectives for optimality such as maximization of branch loading, maximization of the voltage stability and minimization of the power loss. The proposed algorithm’s performance is compared with the conventional genetic algorithm and the simulation is carried by MATLAB with different cases. With the simultaneous operations of branch loading, voltage stability and loss minimization, the branch loading is increased by 9.6% and the voltage stability is increased by 2.3% and the loss is reduced by 4.8%. The result shows the performance of the proposed model.
Authors and Affiliations
Siva Kondakavali
Keywords
Related Articles
- EP ID EP229412
- DOI 10.22266/ijies2017.0430.10
- Views 90
- Downloads 0
Evolutionary Programming Approach for Deregulated Power Systems to Optimal Positioning of FACTS Devices
From past decade, the major issues involved in deregulated power systems are branch loading and voltage stability. To address this issue, in this paper an evolutionary programming algorithm was proposed for optimal posit...
Appropriate Channel Selection for Dynamic Resource Allocation with Priority Scheduling Approach in Multi-hop Cognitive Radio Networks
Today’s wireless communication systems required groundbreaking solution to meet scarcity of radio spectrum. Cognitive radio (CR) is an emerging technology which provides futuristic solution and improving the precious lik...
A Novel QoS Trust Computation in MANETs Using Fuzzy Petri Nets
Evaluation of node’s trust value is certainly advantage in mobile Adhoc networks (MANETs) where the applications run efficiently by involving trustable nodes only. The proposed method “A Novel QoS Trust computation in MA...
Cyclic Repeated Patterns in Sequential Pattern Mining Based on the Fuzzy C-Means Clustering and Association Rule Mining Technique
The main aim of the proposed method is to remove cyclic repeated patterns in sequential pattern mining. Initially the input dataset is fed to the clustering process, in which fuzzy c means clustering algorithm is used to...
Efficient Dissemination of Rainfall Forecasting to Safeguard Farmers from Crop Failure Using Optimized Neural Network Model
In the field of weather forecasting, especially in rainfall prediction many researchers employed different data mining techniques. There is numerous method of organizing agricultural engineering substance and it remains...