Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
20
Applying Genetic Algorithm to EEG Signals for Feature Reduction in Mental Task Classification
1
4
EN
Alireza
Rezaee
Assistant Professor of Department of system and Mechatronics Engineering, Faculty of New Sciences and Technologies, University of Tehran,
arrezaee@ut.ac.ir
Brain-Computer interface systems are a new mode of communication which provides a new path between brain and its surrounding by processing EEG signals measured in different mental states. Therefore, choosing suitable features is demanded for a good BCI communication. In this regard, one of the points to be considered is feature vector dimensionality. We present a method of feature reduction using genetic algorithm as a wide search method and we choose 6 best frequency band powers of EEG, in order to speed up processing and meanwhile avoid classifier over fitting. As a result a vector of power spectrum of EEG frequency bands (alpha, beta, gamma, delta & theta) was found that reduces the dimension while giving almost the same correct classification rate.
Brain-Computer interface (BCI),Electroencephalogram (EEG),Feature reduction,Genetic algorithm (GA),Mental task,Linear discriminant analysis (LDA)
http://ijsee.iauctb.ac.ir/article_526038.html
http://ijsee.iauctb.ac.ir/article_526038_564ca8bb726b235cf17e7f6c05ea8f2b.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
Dynamic Demand Management in an Airconditioner System by Frequency Control in Smart Grid Environment
5
9
EN
Sevda
Allahyari
Electrical Engineering Department, Islamic Azad University, Central Tehran Branch, Tehran, Iran
sevda.alahyari@yahoo.com
Shahram
Javadi
Electrical Engineering Department, Islamic Azad University, Central Tehran Branch
sh.javadi@iauctb.ac.ir
As there is a rapid growth both in the number of power consumers and also the limitations energy resources, it is clearly accepted that the old version of power grid must change into smart grid from head to toe. One of the most important advantages of smart grid which makes it much more exclusive rather than other typical systems is the two-way connectivity between the utility and the costumers. Taking energy efficiency programs for domestic consumers which are considered with the most important role in raising the rate of energy consumption of all, is accepted as an applicable techniques of demand-side management. In this thesis an identical frequency method control of the electrical motor of an air-conditioner (AC) system based on Fuzzy-PID controller is proposed in order to maximizing energy efficiency. Referring to the statistics which are published about the rate of energy consumption of AC systems would have the highest role in demand response and the two-way cooperation between the utility and costumers. To evaluate the results much more applicable, the proposed method is simulated with MATLAB software and the results have shown that the system have the great success.
Air-conditioner,Demand Response,Frequency control,Fuzzy-PID controller,Smart grid
http://ijsee.iauctb.ac.ir/article_526039.html
http://ijsee.iauctb.ac.ir/article_526039_56d86f8e4b90ac25838e51a1b99fe3e9.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
11
21
EN
Naser
Ghorbani
Eastern Azarbayjan Electric Power Distribution Company,
Faculty of Electrical and Computer Engineering, University of Tabriz
naser.ghorbani@yahoo.com
Ebrahim
Babaei
Faculty of Electrical and Computer Engineering, University of Tabriz,
babaeiebrahim@yahoo.com
Sara
Laali
Faculty of Electrical and Computer Engineering, University of Tabriz
s.laali@yahoo.com
Payam
Farhadi
Young Researchers Club, Parsabad Moghan Branch, Islamic Azad University
This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle swarm optimization is used for solving economic emission load dispatch problem. In order to show the advantages of the proposed method, 25 independent case studies are conducted on systems holding three and six power units with different influence percentages of each function are investigated. The obtained results are compared with those of other methods such as Biogeography Based Optimization, Tabu Search, NSGA-II and etc. The obtained results properly show the superiority of the proposed method to combine economic emission dispatch problem over the penalty factor technique and other conventional combined approaches.
Smart grid Economic emission dispatch,Multi-objective,Optimization,Particle swarm optimization,per unit coding
http://ijsee.iauctb.ac.ir/article_526040.html
http://ijsee.iauctb.ac.ir/article_526040_68086541fd34b46f77b86dbbee96f207.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
A Novel Resistive Capacitive Feedback Trans-impedance Amplifier Optimization Using IPSO Algorithm
23
29
EN
Hamid
Niyazi
Department of Electrical Engineering, Yazd Branch, Islamic Azad University,
hamid_niyazi062@yahoo.com
Fakhralsadat
Rastegari
Department of Electrical Engineering, Yazd Branch, Islamic Azad University
frastegari@iauyazd.ac.ir
Majid
Pourahmadi
Department of Electrical Engineering, Yazd Branch, Islamic Azad University
m.yazdanypoor@sutech.ac.ir
A novel low noise trans-impedance amplifier is proposed using low cost 0.18 µm CMOS technology. A resistive-capacitive feedback is used to extend the bandwidth of the amplifier. As the structure is inductor less, it is suitable for low cost integrated optical interconnects. In this paper Improved Particle Swarm Optimization have applied to determine optimal trans-resistance and noise of proposed structure of amplifier. Simulation results showed a -3 dB bandwidth of 5 GHZ with a trans-impedance gain of ≈ 62 dB ohms. The total voltage source power dissipation is less than 5 mW that is much less than that of conventional trans-impedances. The output noise voltage spectral density is 9.5 nV/sqrt(Hz) with a peak of 15nV/sqrt(Hz), while, the input referred noise current spectral density is below 10pA/sqrt(Hz) within the amplifier frequency band.
Trans-impedance amplifier,resistive-capacitive feedback,inductor less,low noise,low power
http://ijsee.iauctb.ac.ir/article_526041.html
http://ijsee.iauctb.ac.ir/article_526041_016c9d733d13bf2213b009ee57eef15f.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
Load Frequency Control in Power Systems Using Multi Objective Genetic Algorithm & Fuzzy Sliding Mode Control
31
42
EN
M.
Khosraviani
Department of computer engineering. and IT, Islamic Azad University,
mkhosraviani@aut.ac.ir
M.
Jahanshahi
Department of computer engineering, Central Tehran Branch, Islamic Azad University
mjahanshahi@iauctb.ac.ir
M.
Farahani
Young Researchers and Elite Club, East Tehran Branch, Islamic Azad University,
m.farahani@basu.ac.ir
A.R.
Zare Bidaki
Young Researchers and Elite Club, East Tehran Branch, Islamic Azad University,
This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In the proposed method, an adaptive fuzzy controller is utilized to mimic a feedback linearization control law. To compensate the compensation error between the feedback linearization and adaptive fuzzy controller, a hitting controller is developed. The Lyapunov stability theory is used to obtain an adaption law so that the closed-loop system stability can be guaranteed. The optimal PID controller problem is formulated into a multi-objective optimization problem. A Pareto set of global optimal solutions to the given multi-objective optimization problem is generated by a genetic algorithm (GA)-based solution technique. The best compromise solution from the generated Pareto solution set is selected by using a fuzzy-based membership value assignment method. Simulations are presented and compared with conventional PID controller and another new controller. These results demonstrate that the proposed controller confirms better disturbance rejection, keeps the control quality in the wider operating range, reduces the frequency’s transient response avoiding the overshoot and is more robust to uncertainties in the system.
Load frequency control (LFC),multi objective optimization algorithm,SMEs,Fuzzy sliding mode control
http://ijsee.iauctb.ac.ir/article_526042.html
http://ijsee.iauctb.ac.ir/article_526042_b11b440949bef73a3e4680b3162fd118.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
Providing A New Characteristic for Overcurrent Relays
43
48
EN
Keyvan
Allahmoradi
Department of Electrical Engineering, Birjand University of Birjand,
Mohsen
Farshad
Department of Electrical Engineering, Birjand University of Birjand,
mfarshad@birjand.ac.ir
Omid
Bahrampour
, Department of Electrical Engineering, Birjand University of Birjand
bahrampouromid@yahoo.com
This with the integration of distributed generation (DG) to meshed distribution systems, the operating time of the protective system becomes a major concern in order to avoid nuisance DG tripping. This paper proposes a new tripping characteristic for directional overcurrent relays (DOCRs) that can achieve a higher possible reduction of overall relays operating time in meshed distribution networks tripping. The proposed tripping characteristic is described in detail. The proposed characteristic is tested on the distribution system is a part of a distribution network, owned by Himmerlands Elforsyning, in Aalborg, Denmark. Also, in this paper using hybrid algorithm GA and LP for solve relay coordination problem. Also, in this paper fault considered is kind of three phase fault. Finally, the results of the proposed characteristic compared with a standard IEC characteristic. The result shown that propose characteristic are better than standard IEC characteristic. Therefore, we can use this characteristic for DOCRs.
overcurrent relay,Hybrid algorithm,relay characteristic
http://ijsee.iauctb.ac.ir/article_526043.html
http://ijsee.iauctb.ac.ir/article_526043_3206c0290d3843c54b2f7ad9e7cf1729.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
Improvement of Coverage Algorithm in WSN in Terms of Sensor Numbers and Power Amount
49
52
EN
Iman
Khandani
Electrical Engineering Department, Islamic Azad University, Central Tehran Branch
iman.persian@gmail.com
Reza
Sabbaghi-Nadooshan
Electrical Engineering Department, Islamic Azad University, Central Tehran Branch
r_sabbaghi@iauctb.ac.ir
Fardad
Farokhi
Electrical Engineering Department, Islamic Azad University, Central Tehran Branch
f_farokhi@iauctb.ac.ir
Wireless sensor networks(WSN) have unique properties that distinguished them from other wireless networks and have special challenges. Not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a part of data maybe lost. Because of the importance of covers in wireless sensors, in this work we have presented approaches that in their designs nodes are in special and different areas so that the hole of environment be covered and for saving power consumption, in each active period only one node is active and others are in inactive. For implementing the task cycle and avoiding from over-load of one node, the active node which have the task of sensing and maintaining the cover of area, in the next period, another node will replace it. It seems that by zoning the environment and cycle of tasks, the overall cover of wireless network improves.
Wireless Sensor Network,coverage,Zoning,cycle of tasks
http://ijsee.iauctb.ac.ir/article_526044.html
http://ijsee.iauctb.ac.ir/article_526044_a86cad5ed846577633b1aaaefcee3443.pdf
Islamic Azad University,Central Tehran Branch
International Journal of Smart Electrical Engineering
2251-9246
2345-6221
05
01
2016
02
22
A Novel Approach to Trace Time-Domain Trajectories of Power Systems in Multiple Time Scales Based Flatness
53
58
EN
Mohsen
Radan
Electrical Power Engineering Group, Najafabad Branch, Islamic Azad University
Alireza
Tvakoli Dinani
Department of Electrical Engineering, Najafabad Branch, Islamic Azad University,
This paper works on the concept of flatness and its practical application for the design of an optimal transient controller in a synchronous machine. The feedback linearization scheme of interest requires the generation of a flat output from which the feedback control law can easily be designed. Thus the computation of the flat output for reduced order model of the synchronous machine with simplified turbine dynamics is hereby presented. The corresponding linearized compensator is derived as well as the nonlinear controller for transient stabilization of a synchronous machine subjected to large disturbances. The transient behavior of a single machine equipped with the so designed nonlinear controllers feeding an infinite bus is illustrated via simulation in Matlab environment. The results obtained for transient disturbances on the single machine infinite bus system (SMIBS) are presented and compared with other control algorithms to demonstrate the effectiveness of the proposed scheme.
Feedback linearization,Flatness,fla output,transient stability
http://ijsee.iauctb.ac.ir/article_526045.html
http://ijsee.iauctb.ac.ir/article_526045_f56b3c2fb6aa9ee241a2b4e4574a668a.pdf