Robust control of Multi Machine Power System Using Intelligent Control methods and their Performance Comparison
Journal Title: Saudi Journal of Engineering and Technology - Year 2017, Vol 2, Issue 11
Abstract
Abstract:This paper is deals with the robustness property of various intelligent control methods namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bacterial Foraging Algorithm (BFA), and Harmony Search Algorithm (HSA) for the design of Power system stabilizer for multi machine power system. The problem of robustly tuning of PID based stabilizer design is formulated as an optimization problem according to the time domain-based objective function with some performance indices which is solved by intelligent control methods that have a strong ability to find the most optimistic results. To demonstrate the effectiveness and robustness of the proposed stabilizers, the design process takes a wide range of operating conditions and system configuration into account. The comparison is carried out in terms of robustness, peak over shoot and settling time of the system dynamic response. For completeness, the performance of conventional controllers is also included. The results of these studies show that the proposed intelligent control methods based PID type stabilizers have an excellent capability in damping power system oscillations and enhance greatly the dynamic stability of the power system in addition to maintaining robustness for a wide range of loading conditions. Keywords:Intelligent Controllers, Power System Stabilizer, PID Controller, Power System Stability
Authors and Affiliations
Abdul Hameed Kalifullah, Sankaran Palani
Keywords
Related Articles
- EP ID EP401765
- DOI -
- Views 168
- Downloads 0
Computation of Solar Radiation for Various Climatic Regions of India
Abstract: The historical weather datasets of different locations of India were complied for solar radiation, maximum and minimum temperatures and sunshine hours. Solar radiation is vital parameter, measured only at 35 me...
Secure Location Tracker for Mobile Devices by providing Witness
Abstract: In recent years, location of mobile devices has become an important factor. Location proof of a particular person relies on his/her mobile device position. One of the valuable features of the location proofs te...
Beyond Hadoop: The Paradigm Shift of Data From Stationary to Streaming Data for Data Analytics
Abstract: The paradigm shift of data from static to fast flowing data is an important move in the industry, to accommodate growing size of data. The velocity and volume of data are continuing to expand which has started...
Effect of Ferritic – Martensitic Constituent on Mechanical Property and Corrosion Behaviour of Medium Carbon Dual Phase (DP) Steel
Abstract:This investigation was carried out to study the effect ferritic-martensitic constituent on mechanical property and corrosion behaviour of medium carbon DP steel. Several stages of heat treatment were applied on...
Roughness Prediction Modelling for Flexible Pavement in Low Volume Roads in State of Tamil Nadu in India
Abstract: In this research paper, prediction model is developed for the progression of roughness, which is the most important performance indicator of flexible pavements. Since many stretches of flexible pavements in vil...