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Effatnejad, R.
- Power System Stabilizers and Control of Reactive Power Compensator in Multi-Machine by Particle Swarm Optimization Algorithm
Abstract Views :243 |
PDF Views:0
Authors
H. Izadi
1,
R. Effatnejad
2
Affiliations
1 Electrical Engineering Department, Science and Research-Alborz Branch, Islamic Azad University, Alborz, IR
2 Electrical Engineering Department, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR
1 Electrical Engineering Department, Science and Research-Alborz Branch, Islamic Azad University, Alborz, IR
2 Electrical Engineering Department, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR
Source
Indian Journal of Science and Technology, Vol 8, No 3 (2015), Pagination: 254-262Abstract
The purpose of this article is to increase the stability and synchronization of multi-machine power system through power system stabilizers 3 band (pss3b). This new stabilizer system indicates better performance by changes in operating conditions and on the other hand, by setting Flexible AC Transmission System device (FACTS) this system can play a key role in limiting fluctuations. All system variables including pss3b and svc are designed by PSO algorithm in the article. The designed stabilizer has been used in a grid of 11 bus bar with two areas and four machines, and the pss and pss3b performances on increase of low frequency oscillation damping have been compared by applying three-phase fault at different working conditions. Finally the comparison between responses obtained from simulations with the same reference system response can prove advantage of this stabilizer and the newly designed system over previous ones in damping vibrations and stability increase.Keywords
Dynamic System, PSO (Particle Swarm Optimization), PSS (Power System Stabilizer), PSS3B (Power System Stability).- Two Methods for Size Selection of DG Units in Distribution Networks
Abstract Views :182 |
PDF Views:0
Authors
F. Fatahian
1,
R. Effatnejad
1
Affiliations
1 Department of Electrical Engineering, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR
1 Department of Electrical Engineering, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR
Source
Indian Journal of Science and Technology, Vol 8, No 11 (2015), Pagination:Abstract
Today, with advances in semiconductor technology and the ability to interface and power electronic converters and also the desires and motivations of economic and environmental another option has occurred to increase the capacity for network engineers and power systems planners. Size and place selection (planning) of distributed generation is the optimization problem that to solve it should get help from one of the optimization methods. In this paper, two methods to determine the size and location of distributed generation (DG) units are presented in distributed system. Four objective functions include, cost, power loss, voltage profile and environmental attributes are intended. The proposed algorithms are tasted on the 34- bus radial system. The results show that voltage profile and power loss improve with proposed solution.Keywords
Distributed Generation (DG), Multi-objective Optimization Algoritm, Multi Objective Particle Swarm Optimization (MOPSO), Non-dominated Sorting Genetic Algorithm (NSGA)- Modeling and Simulation of Hybrid System in DC Micro-Grid Based on Photovoltaic and Energy Storage
Abstract Views :229 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical Engineering, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR
1 Department of Electrical Engineering, Karaj Branch, Islamic Azad University, Karaj, Alborz, IR