ORIGINAL_ARTICLE
A New Design for Photonic Crystal Ring Resonator Based Add-Drop Filter Using Nested Rectangular Rings
In this paper using nested Rectangular resonator we have designed an add-drop filter based on photonic crystal structures suitable for optical communication applications. The drop efficiency and the quality factor of our proposed filter is 100% and 2508. In this filter the quality factor is significantly improved with respect to other published reports. The simulation results are obtained using 2D Finite Difference Time Domain (FDTD) method. The Photonic Band gap (PBG)is calculated by Plane Wave Expansion (PWE) method.
http://jaiee.iau-ahar.ac.ir/article_514374_3b25e958b6fa3a7b689cbd305f977172.pdf
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4
Photonic Crystal
Add-drop Filter
FDTD
Nested Rectangular Resonator
[1] J.D. Joannopoulos, R.D. Meade, J.N. Winn, Photonic Crystals: Molding the Flow of Light, Princeton University Press, Princeton, NJ, USA, 1995.
1
[2] M.A.M.A. Mansouri-Birjandi, M.K. Moravvej-Farshi, A. Rostami, Ultrafast low threshold all-optical switch implemented by arrays of ring resonators coupledto a Mach–Zehnder interferometer arm: based on 2D photonic crystals, Appl.Opt. 47 (2008) 5041–5050.
2
[3] A. Rostami, H. Alipour Banaei, F. Nazari, A. Bahrami, An ultracompact pho-tonic crystal wavelength division demultiplexer using resonance cavities in amodified Y-branch structure, Optik 122 (2011) 1481–1485.
3
[4] S. Robinson, R. Nakkeeran, Investigation on two dimensional photonic crystal resonant cavity based band pass filter, Optik 123 (2012) 451–457.
4
[5] H. Guan, P. Han, Y. Li, X. Zhang, W. Zhang, Analysis and optimization of a new photonic crystal filters in near ultraviolet band, Optik 123 (2012)1874–1878.
5
[6] H.Z. Wang, W.M. Zhou, J.P. Zheng, A 2D rods-in-air square-lattice photoniccrystal optical switch, Optik 121 (2010) 1988–1993.
6
[7] A. Taher Rahmati, N. Granpayeh, Kerr nonlinear switch based on ultra-compact photonic crystal directional coupler, Optik 122 (2011) 502–505.
7
[8] Y. Wan, M. Yun, L. Xia, X. Zhao, 1 × 3 Beam splitter based on self-collimation effect in two-dimensional photonic crystals, Optik 122 (2011) 337–339.
8
[9] M.R. Rakhshani, M.A. Mansouri-Birjandi, Heterostructure four channel wave-length demultiplexer using square photonic crystals ring resonators, J.Electromagn. Waves Appl. 26 (2012) 1700–1707.
9
[10] V. Kumar, B. Suthar, A. Kumar, Kh.S. Singh, A. Bhargava, Design of a wavelengthdivision demultiplexer using Si-based one-dimensional photonic crystal witha defect, Optik (2012), 7-5.
10
[11] M. Djavid, M.S. Abrishamian, Multi-channel drop filters using photonic crystal ring resonators, Optik 123 (2010) 167–170.
11
ORIGINAL_ARTICLE
Introduce an Optimal Pricing Strategy Using the Parameter of "Contingency Analysis" Neplan Software in the Power MarketCase Study (Azerbaijan Electricity Network)
Overall price optimization strategy in the deregulated electricity market is one of the most important challenges for the participants, In this paper, we used Contingency Analysis Module of NEPLAN Software, a strategy of pricing to market participants is depicted.Each of power plants according to their size and share of the Contingency Analysis should be considered in the price of its hour. In the second stage, each of the power plants and cross-border supplier required forecasts on price and load request for determined hours, that can be used Artificial Neural networks. Thus, an efficient integrated model of optimized pricing for participants in the power market is extracted. The result of this study in the Azerbaijan power network for the special day and hour checked and has been provided.
http://jaiee.iau-ahar.ac.ir/article_514375_4a7b6276b82db2be1aca1f2b0584929a.pdf
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13
Power Market
Artificial Neural Networks
Contingency Analysis
[1] Chary, D. M., “Contingency Analysis in Power Systems, Transfer Capability Computation and Enhancement Using Facts Devices in Deregulated Power System.” Ph.D. diss., Jawaharlal Nehru Technological University, 2011
1
[2] Wood, A. J.; Wallenberg, B. F., “Power Generation, Operation and Control”. 2nd ed., New York/USA: John Wiley& Sons, 1996, pp. 410-432.
2
[3] Mohamed, S. E. G.; Mohamed, A. Y., and Abdelrahim, Y. H., “Power System Contingency Analysis to detect Network Weaknesses”, Zaytoonah University International Engineering Conference on Design and Innovation in Infrastructure, Amman, Jordan, pp. I3-4 Jun., 2012.
3
[4] Contreras, J.; Espinola, R.; Nogales, F.J.; Conejo, A.J., “ARIMA models to predict next-day electricity prices,” IEEE Trans. on Power Syst., Aug. 2003, Vol. 18, No. 3 , pp.1014 – 1020.
4
[5] Hippert, H. S.; Pedreira, C. E.; Souza, R. C., “Neural networks for shortterm load forecasting: A review and evaluation,” IEEE Trans. Power Syst. Feb.2001, Vol.16, pp.44-55.
5
[6] Ramsay, B.; Wang, A. J., “A neural networks based estimator for electricity spot-pricing with particular reference to weekend and public holidays,” 1998, Vol.23, pp.47-57.
6
[7] Szkuta, B. R.; Sanabria, L. A.; Dillon, T. S., “Electricity price short-term forecasting using artifical neural networks,” IEEE Trans. on Power Syst. , Aug.1999, Vol.14, pp.851-857.
7
[8] Detailed statistic's Iranian electricity industry, especially the transfer of power in 2011, the publisher's TAVANIR Holding Company, Department of Human Resources and Research, published in August 2012.
8
ORIGINAL_ARTICLE
Multi Objective Allocation of Distributed Generations and Capacitor Banks in Simultaneous
This paper has developed a novel multiobjective function for optimal sizing and sitting ofDistributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliabilityand reduce energy losses. The proposed function consists of four objectives: Cost of Energy NotSupplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss andinvestment. A novel structure has been suggested for Differential Evolutionary Algorithm (DEA) tosolve this nonlinear complex problem and its results compared with related values of geneticalgorithm and simple DEA. In addition to the novel objective function, the other contribution of thiswork is proposing a new model for load and energy cost. Three types of DGs, i.e., wind turbine,solar cell and diesel generator have been employed in placement process. To verify thecomprehensiveness of the proposed function, three scenarios have been introduced: Scenario i)First, placement of DGs, then capacitor banks, Scenario ii) First, placement of capacitor banks,and then DGs, and Scenario iii) simultaneous placement of DGs and capacitor banks. Simulationshave been carried out on one part of practical distribution network in Metropolitan Tabriz in NorthWest of Iran. The results of simulations have been discussed and analyzed by using of the five novelindices. The obtained simulation results using proposed function shows that the simultaneousplacement of distributed generations and capacitor banks results in more reduction of the energylosses, and increase improvements of reliability indices as well as voltage profile.
http://jaiee.iau-ahar.ac.ir/article_514376_da7dac736f4fa180514ba7f51a6c3839.pdf
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39
Capacitor banks placement
Distributed generation placement
Differential evolutionary algorithm
reliability improvement
Practical radial distribution network
[1] Karimi M., Shayeghi H., Banki T., Farhadi P.,
1
Ghadimi N. Solving optimal capacitor allocation
2
problem using DEA in practical distribution networks.
3
Electrical Review 2012, (7a), pp. 91-93.
4
[2] Mohammadhosein Dideban, Noradin Ghadimi,
5
Mohammad Bagher Ahmadi and Mohammmad
6
Karimi, Optimal Location and Sizing of Shunt
7
Capacitors in Distribution Systems by Considering
8
Different Load Scenarios. J Electr Eng Technol Vol. 8,
9
No. 5, 2013, 7(1), pp. 1012-1020.
10
[3] Farhadi P., Shayeghi H., Sojoudi T., Karimi M.
11
Customer reliability improvement and power loss
12
reduction in radial distribution systems using
13
distributed generations. Indian Journal of Science and
14
Technology 2012, 5(3), pp. 2313-2317
15
[4] Taher S. A., Hasani M., Karimian A. A novel
16
method for optimal capacitor placement and sizing in
17
distribution systems with nonlinear loads and DG using
18
GA. Communications in Nonlinear Science and
19
Numerical Simulation 2011, 16, pp. 851-862.
20
[5] Zou K., Agalgaonkar A. P., Muttaqi K. M., Perera
21
S. Voltage support by distributed generation units and
22
shunt capacitors in distribution systems. IEEE Power &
23
Energy Society General Meeting, 2009. PES '09.
24
[6] Sajjadi S.M., Haghifam M.-R, Salehi J.
25
Simultaneous placement of distributed generation and
26
capacitors in distribution networks considering voltage
27
stability index. International Journal of Electrical
28
Power and Energy Systems 2013, 46, pp. 366-375.
29
[7] Guimara˜es M.A.N., Castro C.A., Romero R.
30
Distribution systems operation optimization through
31
reconfiguration and capacitor allocation by a dedicated
32
genetic algorithm. IET Generation, Transmission and
33
Distribution 2010, 4(11), pp. 1213-1222.
34
[8] Chang Ch.F. Reconfiguration and capacitor
35
placement for loss reduction of distribution systems by
36
ant colony search algorithm, IEEE Transactions on
37
Power Systems 2008, 23(4), pp. 1747-1755.
38
[9] Etemadi A.H., Fotuhi-Firuzabad M. Distribution
39
system reliability enhancement using optimal capacitor
40
placement. IET Generation, Transmission and
41
Distribution 2008, 2(5): 621-631.
42
[10] Das D. Optimal placement of capacitors in radial
43
distribution system using a Fuzzy-GA method.
44
Systems 2008, 30, pp. 361-367.
45
[11] Kim K.H., Rhee S.B., Kim S.N., You S.K.
46
Application of ESGA hybrid approach for voltage
47
profile improvement by capacitor placement. IEEE
48
Transactions on Power Delivery 2003, 18(4), pp.1516-
49
[12] C.L.Borges T., M. Falca˜o D. Optimal distributed
50
generation allocation for reliability, losses, and voltage
51
improvement. International Journal of Electrical Power
52
and Energy Systems 2006, 28, pp. 413-420.
53
[13] Biswas S., Kumar Goswami S., Chatterjee A.
54
Optimum distributed generation placement with
55
voltage sag effect minimization. Energy Conversion
56
and Management 2012, 53, pp. 163-174.
57
[14] Singh R.K., Goswami S.K. Optimum allocation of
58
distributed generations based on nodal pricing for
59
profit, loss reduction, and voltage improvement
60
including voltage rise issue. International Journal of
61
Electrical Power and Energy Systems 2010, 32(6), pp.
62
[15] Sami T., Mahaei S.M., Hashemi Namarvar M.T.,
63
Iravani H. Optimal placement of DGs for reliability
64
and loss evaluation using DIgSILENT software, in, pp.
65
10th International Conference on Environment and
66
Electrical Engineering (EEEIC), Italy, 2011.
67
[16] Sanghvi A.P. Measurement and application of
68
customer interruption cost/value of service for costbenefit
69
reliability evaluation, pp. some Commonly
70
Raised Issues, IEEE Transactions on Power System,
71
1990, 5(4), pp. 1333-1344.
72
[17] Wacker G., Billinton R. Customer cost of electric
73
service, Proceedings of the IEEE, 1989, 77(6), pp.
74
[18] billinton R., wangdee W. Customer outage cost
75
evaluation of an actual failure event, in, pp. Canadian
76
Conference on Electrical and Computer Engineering
77
(CCECE), Canada, 2002.
78
[19] Lehtonen M., Lemstrom B. Comparison of the
79
methods for assessing the customers outage costs, in,
80
pp. Proceedings of International Conference on Energy
81
Management and Power Delivery (EMPD '95),
82
Finaland, 1995.
83
[20] Shirmohammadi D., Hong H.W., Semlyn A., Luo
84
G.X. A compensation based power flow method for
85
weakly meshed distribution and transmission network.
86
IEEE Transactions on Power Systems 1988, 3(2), pp.
87
[21] Singh D., Singh D., Verma K. S. Multiobjective
88
optimization for distributed generation planning with
89
load models. IEEE Transactions on Power Systems
90
2009, 24(1), pp. 427-436.
91
[22] Brest J., Greiner S., Boskovic B., Mernik M.,
92
Zumer V., Self-adapting control parameters in
93
differential evolution: A comparative study on
94
numerical benchmark problems, IEEE Transactions on
95
Evolutionary Computation 2006, 10, pp.646-657.
96
[23] ChoWdhury A. A., AgarWal S.K., Koval D.O.
97
Reliability modeling of distributed generation in
98
conventional distribution systems planning and
99
analysis. IEEE Transactions on Industry Applications
100
2003, 39(5), pp. 1493-1498.
101
ORIGINAL_ARTICLE
Nonlinear H Control for Uncertain Flexible Joint Robots with Unscented Kalman Filter
Todays, use of combination of two or more methods was considered to control of systems. In this paper ispresented how to design of a nonlinear H∞ (NL-H∞) controller for flexible joint robot (FJR) based on boundedUKF state estimator. The UKF has more advantages to standard EKF such as low bios and no need toderivations. In this research, based on spong primary model for FJRs, same as rigid robots links position areselected as differential equations variables. Then this model was reformed to NL H differential equations.The results of simulations demonstrate that mixed of NL H controller and UKF estimator lead toconventional properties such as stability and good tracking. Also, Simulation results show the efficiency andsuperiority of the proposed method in compare with EKF.
http://jaiee.iau-ahar.ac.ir/article_514377_f73f2638aea2d2da54b8a87e72b31ec5.pdf
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47
[1] L.M. Sweet and M.C. Good, "Re-definition of the
1
robot motion control problems: Effects of plant
2
dynamics, drive system constraints, and user
3
requirements," IEEE Int. Conf. on Decision and
4
Control, 1984.
5
[2] G. Cesareo and R. Marino, "On the controllability
6
properties of elastic robots," Int. Conf. Analysis
7
and Optimization of Systems, 1984.
8
[3] M.W. Spong, "The control of FJRs: A survey," in
9
New Trends and Applications of Distributed
10
Parameter control systems, G.Chen, E.B.Lee,
11
W.Littman, L.Markus , 1990.
12
[4] S. Ozgoli, “Design and implementation of a
13
position controller for a flexible joint robot in
14
presence of actuator saturation,” PhD thesis
15
proposal, Electrical Eng. Dept., K.N.Toosi
16
University of Technology, 2003.
17
[5] A.Isidori and W.kang, "H∞ Control via
18
measurement feedback for general nonlinear
19
systems," IEEE Transaction on Automatic control,
20
Vol. 40, PP.466-472, 1995.
21
[6] Yusun Fu, Zuohua Tian, Songjiao Shi, "Robust H∞
22
control of uncertain nonlinear systems," Elsevier,
23
Automatica 42 (2006) 1547 – 1552
24
[7] Huang, J., & Lin, C. F. "Numerical approach to
25
computing nonlinear H∞ control laws," Journal of
26
Guidance, Control and Dynamics, 1995, 18(5),
27
989–993.
28
[8] Matthew Rhudy1,*, Yu Gu1 and Marcello R.
29
Napolitano1 "An Analytical Approach for
30
comparing Linearization Methods in EKF and
31
UKF" Int J Adv Robotic Sy, 2013, Vol. 10,
32
[9] Mark W. Spong, Seth Hutchinson, M. Vidyasagar,
33
(2006) "Robot Modeling and Control", Industrial
34
Robot: An International Journal, Vol. 33 Iss: 5,
35
ORIGINAL_ARTICLE
Passivity-Based Control of the DC-DC Buck Converters in High-Power Applications
In this paper, a novel approach for control of the DC-DC buck converter in high-power and low-voltage applications is proposed. Designed method is developed according to passivity based controller which is able to stabilize output voltage in a wide range of operation. It is clear that in high-power applications, parasitic elements of the converter may become comparable with load value and hence, in this paper all of the converted parasitic elements are modeled during development of the controller. In order to evaluate the accuracy and effectiveness of the proposed method, designed controller is simulated using MATLAB/Simulink toolbox. Presented simulation result proves that the developed controller has acceptable dynamic and steady-state responses which are compared with a standard PI controller in high-power applications.
http://jaiee.iau-ahar.ac.ir/article_514378_7ab8ba28799491ed3f8eca0095407715.pdf
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58
voltage control
nonlinear control systems
Uncertainty
Lyapunov method
DC-DC power converters
[1] Salimi, M.; Soltani, J.; Mrkadeh, G.A.; Abjadi,
1
N.R., "Indirect output voltage regulation of DCDC
2
buck/boost converter operating in
3
continuous and discontinuous conduction modes
4
using adaptive backstepping approach," Power
5
Electronics, IET , vol.6, no.4, pp.732,741, April
6
[2] Kumar, K.R.; Jeevananthan, S., "Design of
7
Sliding Mode Control for Negative Output
8
Elementary Super Lift Luo Converter operated
9
in Continuous Conduction
10
Mode," Communication Control and Computing
11
Technologies (ICCCCT), 2010 IEEE
12
International Conference on , vol., no.,
13
pp.138,148, 7-9 Oct. 2010
14
[3] Wang, T.G.; Xunwei Zhou; Lee, F.C., "A low
15
voltage high efficiency and high power density
16
DC/DC converter," Power Electronics
17
Specialists Conference, 1997. PESC '97
18
Record., 28th Annual IEEE , vol.1, no.,
19
pp.240,245 vol.1, 22-27 Jun 1997
20
[4] Hwu, K. I.; Tau, Y. T., "A Forward Converter
21
Having an FPGA-based PID Controller with
22
Parameters On-ine Tuned," Power Electronics
23
and Drives Systems, 2005. PEDS 2005.
24
International Conference on , vol.2, no.,
25
pp.1239,1243, 28-01 Nov. 2005
26
[5] Sumita Dhali, P.Nageshwara Rao,Praveen
27
Mande and K.Venkateswara Rao, "PWM-Based
28
Sliding Mode Controller for DC-DC Boost
29
Converter,” International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 1, pp.618-623, Jan-Feb 2012
30
[6] Salimi, M.; Soltani, J.; Markadeh, G.A., "A novel method on adaptive backstepping control of buck choppers," Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2011 2nd , vol., no., pp.562,567, 16-17 Feb. 2011
31
[7] Kurokawa, F.; Maeda, Y.; Shibata, Y.; Maruta, H.; Takahash, T.; Bansho, K.; Tanaka, T.; Hirose, K., "A novel digital PID controlled dc-dc converter," Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on , vol., no., pp.50,53, 14-16 June 2010
32
[8] Salimi, M.; Soltani, J.; Zakipour, A.; Hajbani, V., "Sliding mode control of the DC-DC flyback converter with zero steady-state error," Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2013 4th , vol., no., pp.158,163, 13-14 Feb. 2013
33
[9] Zengshi Chen, "PI and Sliding Mode Control of a Cuk Converter," Power Electronics, IEEE Transactions on , vol.27, no.8, pp.3695,3703, Aug. 2012
34
[10] Adel Zakipour, Mahdi Salimi, "On backstepping controller Design in buck/boost DC-DC Converter," International Conference on Electrical, Electronics and Civil Engineering (ICEECE'2011) Pattaya Dec, 2011
35
[11] Salimi, M.; Soltani, J.; Zakipour, A., "Adaptive nonlinear control of DC-DC buck/boost converters with parasitic elements consideration," Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on , vol., no., pp.304,309, 27-29 Dec. 2011
36
[12] Sira-Ra re , H rtega, R , assivit -based controllers for the stabilization of DC-to-DC power converters," Decision and Control, 1995., Proceedings of the 34th IEEE Conference on , vol.4, no., pp.3471,3476 vol.4, 13-15 Dec 1995
37
[13] Hebert t Sira- Ramirez, Romeo Ortega, Mauricio Garfia-Esteban and Eafael Perez-Moreno, "Passivity Based regulation of a class of multivariable DC to DCpower converter,"
38
13th Triennial Woerld congress sanfancisco USA, IFAC, 1996
39
[14] Angulo-Nunez, M.I.; Sira-Ramirez, H., "Flatness in the passivity based control of DC-to-DC power converters," Decision and Control, 1998. Proceedings of the 37th IEEE Conference on , vol.4, no., pp.4115,4120 vol.4, 16-18 Dec 1998
40
[15] Zhaohua Yang; Leitao Wu, "A new passivity-based control method and simulation for DC/DC converter," Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on , vol.6, no., pp.5582,5585 Vol.6, 15-19 June 2004
41
[16] Kwasinski, A.; Krein, P.T., "Passivity-Based Control of Buck Converters with Constant-Power Loads," Power Electronics Specialists Conference, 2007. PESC 2007. IEEE , vol., no., pp.259,265, 17-21 June 2007
42
[17] Wang Bingyuan; Feng Hui, "The Buck-Boost converter adopting passivity-based adaptive control strategy and its application," Power Electronics and Motion Control Conference (IPEMC), 2012 7th International , vol.3, no., pp.1877,1882, 2-5 June 2012
43
[18] Mahdi Salimi, Jafar Soltani, Gholamreza Arab Markadeh and Navid Reza Abjadi, "Adaptive nonlinear control of the DC-DC buck converters operating in CCM and DCM," EUROPEAN TRANSACTIONS ON ELECTRICAL POWER Euro. Trans. Electr. Power Published online in Wiley Online Library, (2012)
44
[19] Bingyuan Wang; Yuling Ma, "Research on the passivity-based control strategy of Buck-Boost converters with a wide input power supply range," Power Electronics for Distributed Generation Systems (PEDG), 2010 2nd IEEE International Symposium on , vol., no., pp.304,308, 16-18 June 2010
45
[20] Young-Ik Son; In-Hyuk Kim, "Complementary PID Controller to Passivity-Based Nonlinear Control of Boost Converters With Inductor Resistance," Control Systems Technology, IEEE Transactions on , vol.20, no.3, pp.826,834, May 2012
46
[21] Gavini, L.; Izadian, A., "Feed-forward excess passivity-based control of buck-boost
47
converters," IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society , vol., no., pp.2289,2294, 25-28 Oct. 2012
48
ORIGINAL_ARTICLE
Synchronization of Chaotic Fractional-Order Lu-Lu Systems with Active Sliding Mode Control
Synchronization of chaotic and Lu system has been done using the active sliding mode control strategy. Regarding the synchronization task as a control problem, fractional order mathematics is used to express the system and active sliding mode for synchronization. It has been shown that, not only the performance of the proposed method is satisfying with an acceptable level of control signal, but also a rather simple stability analysis is performed. The latter is usually a complicated task for nonlinear chaotic systems.
http://jaiee.iau-ahar.ac.ir/article_514379_6559bbcf30dc0847f14de7838322af52.pdf
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59
67
fractional calculus
fractional order active sliding mode controller
Synchronization
Lu-Lu
[1] Butzer PL, Westphal U. An introduction to fractional calculus. Singapore: World Scientific; 2000.
1
[2] Ahmed E, Elgazzar AS. On fractional order differential equations model for nonlocal epidemics. Physica A 2007;379:607–14.
2
[3] Ahmad WM, El-Khazali R. Fractional-order dynamical models of Love. Chaos Soliton Fract 2007;33:1367–75.
3
[4] A. Le Me´haute´ , Les Ge´ome´ tries Fractales, Eidtions Herme` s, Paris, France, 1990.
4
[5] R. de Levie, Fractals and rough electrodes, J. Electroanal. Chem. 281 (1990) 1–21.
5
[6] S. Westerlund, Dead matter has memory! (capacitor model), Phys. Scrip. 43 (2) (1991) 174–179.
6
[7] T. Kaplan, L.J. Gray, S.H. Liu, Self-affine fractal model for a metal-electrolyte interface, Phys. Rev. B 35 (10) (1987) 5379–5381.
7
[8] E. Ott, C. Grebogi, and J. A. Yorke, “Controlling chaos,” Physical Review Letters, vol. 64, no. 11, pp. 1196–1199, 1990.
8
[9] Y.G. Hong, J.K. Wang. Finite time stabilization for a class of nonlinear systems, 18 8th International Conference on Control, Automation, Robotics and Vision, Kunming, 2004, pp. 1194-1199.
9
[10] S. Boccaletti, J. Kurths, G. Osipov, D.L. Valladares, C.S. Zhou. The synchronization of chaotic systems, Physics Reports, 2002, 366:1-101.
10
[11] F. Liu, Y. Ren, X.M. Shan, Z.L. Qiu. A linear feedback synchronization theoremfor a class of chaotic systems, Chaos, Solitons and Fractals, 2002, 13:723-730.
11
[12] H. Zhang, X.K. Ma, W.Z. Liu. Synchronization of chaotic systems with parametric uncertainty using active sliding mode control, Chaos, Solitons andFractals, 2004, 21:1249-1257.
12
[13] H. Fotsin, S. Bowong, J. Daafouz. Adaptive synchronization of two chaotic systems consisting of modified Van der Pol-Duffing and Chua oscillators, Chaos,Solitons and Fractals, 2005, 26:215-229.
13
[14] Dastranj, Mohammad Reza, Mojtdaba Rouhani, and Ahmad Hajipoor. "Design of Optimal Fractional Order PID Controller Using PSO Algorithm." International Journal of Computer Theory and Engineering 4, no. 3 (2012).
14
[15] A. Charef, H. H. Sun, Y. Y. Tsao, B. Onaral, IEEE Trans. Auto. Contr. 37: 1465-1470(1992)
15
[16] C. G. Li, G. R. Chen, Chaos, Solitons & Fractals 22, 549~554(2004)
16
[17] W. M. Ahmad, J. C. Sprott, Chaos Solitons & Fractals 16, 339-351(2003)
17
[18] H. Zhang, X.K. Ma, W.Z. Liu, Synchronization of chaotic systems with parametric uncertainty using active sliding mode control, Chaos, Solitons Fractals 21 (2004) 1249–1257.
18
[19] D. Matignon, Stability results for fractional differential equations with applications to control processing, Computational Engineering in Systems and Application multi-conference, vol. 2, IMACS, in: IEEE-SMC Proceedings, Lille, France, July 1996,pp. 963–968.
19
[20] G. Chen, T. Ueta, Yet another attractor, Int. J. Bifurcation Chaos 9 (1999) 1465–1466.
20
ORIGINAL_ARTICLE
Optimization of the Lyapunov Based Nonlinear Controller Parameters in a Single-Phase Grid-Connected Inverter
In this paper, optimization of the backstepping controller parameters in a grid-connected single-phase inverter is studied using Imperialist competitive algorithm (ICA), Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm. The controller is developed for the system based on state-space averaged model. By selection of a suitable Lyapunov function, stability of the proposed controller is proved in a wide range of operation. Considering different optimization algorithms, steady-state and dynamic responses of the developed system are studied. In addition, THD values for different test are compared. Finally, to verify accuracy of the proposed method, designed controller is simulated using MATLAB/Simulink software.
http://jaiee.iau-ahar.ac.ir/article_514380_1fa36493cf57652b1bacca6bbaf455a0.pdf
2014-03-01T11:23:20
2017-09-26T11:23:20
68
78
Grid-connected inverter
nonlinear controller
Imperialist competitive algorithm (ICA)
Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm
[1] L. Dong-Choon and G. M. Lee, "Linear control of inverter output voltage in overmodulation," Industrial Electronics, IEEE Transactions on, vol. 44, pp. 590-592, 1997.
1
[2] H. Komurcugil, "Steady-State Analysis and Passivity-Based Control of Single-Phase PWM Current-Source Inverters," Industrial Electronics, IEEE Transactions on, vol. 57, pp. 1026-1030, 2010.
2
[3] I. S. Kim and M. J. Youn, "Variable-structure observer for solar-array current estimation in a photovoltaic power-generation system," Electric Power Applications, IEE Proceedings -, vol. 152, pp. 953-959, 2005.
3
[4] P. Mattavelli and F. P. Marafao, "Repetitive-based control for selective harmonic compensation in active power filters," Industrial Electronics, IEEE Transactions on, vol. 51, pp. 1018-1024, 2004.
4
[5] Z. Kai, K. Yong, X. Jian, and C. Jian, "Direct repetitive control of SPWM inverter for UPS purpose," Power Electronics, IEEE Transactions on, vol. 18, pp. 784-792, 2003.
5
[6] S. Guoqiao, Z. Xuancai, Z. Jun, and X. Dehong, "A New Feedback Method for PR Current Control of LCL-Filter-Based Grid-Connected Inverter," Industrial Electronics, IEEE Transactions on, vol. 57, pp. 2033-2041, 2010.
6
[7] S. Chen, Y. M. Lai, S. C. Tan, and C. K. Tse, "Fast response low harmonic distortion control scheme for voltage source inverters," Power Electronics, IET, vol. 2, pp. 574-584, 2009.
7
[8] X. Yaosuo, C. Liuchen, K. Sren Baekhj, J. Bordonau, and T. Shimizu, "Topologies of single-phase inverters for small distributed
8
power generators: an overview," Power Electronics, IEEE Transactions on, vol. 19, pp. 1305-1314, 2004.
9
[9] Y. Zhilei, X. Lan, and Y. Yangguang, "Seamless Transfer of Single-Phase Grid-Interactive Inverters Between Grid-Connected and Stand-Alone Modes," Power Electronics, IEEE Transactions on, vol. 25, pp. 1597-1603, 2010.
10
[10] H. Xiang, Y. Xu, L. Tao, H. Lang, and C. Wenjie, "A Sliding-Mode Controller With Multiresonant Sliding Surface for Single-Phase Grid-Connected VSI With an LCL Filter," Power Electronics, IEEE Transactions on, vol. 28, pp. 2259-2268, 2013.
11
[11] W. Rong-Jong, L. Chih-Ying, W. Wen-Chuan, and H. Hsin-Ning, "Design of backstepping control for high-performance inverter with stand-alone and grid-connected power-supply modes," Power Electronics, IET, vol. 6, pp. 752-762, 2013.
12
[12] E. Atashpaz-Gargari and C. Lucas, "Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition," in Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 2007, pp. 4661-4667.
13
[13] J. H. Holland, Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence: MIT Press, 1992.
14
[14] J. Kennedy and R. Eberhart, "Particle swarm optimization," in Neural Networks, 1995. Proceedings., IEEE International Conference on, 1995, pp. 1942-1948 vol.4.
15
[15] M. Kohansal, J. S. Moghani, M. Rahmatian, and G. B. Gharehpetian, "Multi-objective optimization to improve transient performance of VSI in an off-grid micro-gird using imperialist competitive algorithm," in Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on, 2011, pp. 536-541.
16
[16] R. Toorani, M. Ahmadi, A. Radmehr, and M. Ahmadi, "Optimal design of distributed generation in grid-connected mode of operation using genetic algorithm," in Electrical Engineering (ICEE), 2013 21st Iranian Conference on, 2013, pp. 1-5.
17
[17] A. Kessal and L. Rahmani, "GA-Optimized Parameters of Sliding Mode Controller based on both Output voltage and Input Current with an Application in the PFC of AC/DC Converters," Power Electronics, IEEE Transactions on, vol. PP, pp. 1-1, 2013.
18
[18] P. Bhatt, R. Roy, and S. P. Ghoshal, "GA/particle swarm intelligence based optimization of two specific varieties of controller devices applied to two-area multi-units automatic generation control," International Journal of Electrical Power & Energy Systems, vol. 32, pp. 299-310, 5// 2010.
19
[19] W. Al-Saedi, S. W. Lachowicz, and D. Habibi, "An optimal current control strategy for a three-phase grid-connected photovoltaic system using Particle Swarm Optimization," in Power Engineering and Automation Conference (PEAM), 2011 IEEE, 2011, pp. 286-290.
20
[20] "IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems," IEEE Std 519-1992, pp. 1-112, 1993.
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ORIGINAL_ARTICLE
Analytical Study of Optical Bi-Stability of a Single-Bus Resonator Based on InGaAs Micro-Ring Array
In this paper, for the first time to our knowledge, we investigate the optical bi-stability in a compact parallel array of micro- ring resonators with 5μm radius, induced by optical nonlinearity. Due to the nature of perfect light confinement, resonance and accumulation process in a ring resonator, optical nonlinear effects, even at small optical power of a few milliwatts in this structure are observable. Different optical applications such as: all-optical switching, memory, logic gates and modulators, due to optical bi-stability in a ring resonator are possible. By using of compound semiconductors, instead of silicon that have weakly nonlinear optical properties, we improve the performance of ring-resonator based devices. Also by using of a polymer cladding layer with negative thermo-optic coefficient, we have eliminate the temperature created nonlinearity which is a very slow process, so the switching speed of a few MHz increases to several tens of GHz. With plotting the transfer function of the resonator, a hysteresis loop in a few milliwatts is observed, that by using of ring resonator array, although the bandwidth is reduced, but the width of the hysteresis loop and resolution between both steady state increases.
http://jaiee.iau-ahar.ac.ir/article_514381_c6a1c66c271cc82cf1542ac1f586cc2c.pdf
2014-03-01T11:23:20
2017-09-26T11:23:20
79
92
Optical Bi-stability
Nonlinear Optic
Ring Resonator Array
Resonance Wavelength
Hysteresis Loop
[1] E.Klein, D.H. Geuzebroek, H. Kelderman,” Wavelength-Selective Switch using Thermally Tunable Microring Resonators”, Lasers and Electro-Optics Society, 2003. LEOS 2003. The 16th Annual Meeting of the IEEE,vol.1,pp. 126 – 127,2003.
1
[2] X.Wang,” A Thermally Wavelength Tunable Photonic Switch Based on Silicon Microring Resonator”,Dissertation For Phd,Miami,florida,USA,2009.
2
[3] S. D. Smith, “Optical bistability, photonic logic, and optical computation “ , App. Op., Vol. 25, No. 10 ,pp.1550-1564 , 1986.
3
[4] R.W.Boyd,“ Nonlinear Optics (3rd Edition)”, Academic Press Inc,2007.
4
[5] V. Almeidaet al., “Optical bistability on a silicon chip,”Opt. Lett., vol. 29,no. 20, pp. 2387–2389, 2004.
5
[6] M. Notomiet al., “Optical bistable switching action of si high-q photonic-crystal nanocavities,”Opt. Expr., vol. 13, no. 7, pp. 2678–2687, 2005.
6
[7] W. Bogaerts et al., “Nanophotonic waveguides in silicon-on-insulator fabricated with cmos technology,” J. Lightwave Technol., vol. 23, no. 1, pp. 401–412, January 2005.
7
[8] G. Priem, P. Dumon, W Bogaerts, D. Van Thourhout, G. Morthier, and R. Baets, "Optical bistability and pulsating behaviour in Silicon-On-Insulator ring resonator structures," Opt. Express , Vol.13, pp.9623-9628 , 2005.
8
[9] JingLu, GangZhou, “Analysis on Wavelength Bistability Properties of Vertical Cavity Semiconductor Optical Amplifier” Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on Xi'an , pp. 975 – 978 , 17-19 June 2011.
9
[10] MH.Mohammadzadeh,”Design and Analysis of Ring resonator array Based Photo detector with nonlinear effect in the Communication Wavelength Range”,Dissertation for MSc,IAUN,Iran,2013.
10
[11] A.Yariv, “Universal Relations For Coupling of Optical Power Between Micro Resonators and Dielectric WaveGuides”,Electron.Lett.,vol.36,pp.321-322,Feb.2000.
11
[12] T.Ibrahim,V.Van,K.Ritter,” Fast nonlinear all-optical switching in a compact semiconductor microring resonator”, Lasers and Electro-Optics Society, 2001. LEOS 2001. The 14th Annual Meeting of the IEEE,vol.2,pp. 519 – 520,2001.
12
[13] J. E. Heebner and R. W. Boyd, “Enhanced all-optical switching by use of a nonlinear fiber ring
13
resonator,”Opt. Lett., vol. 24, pp. 847–849, June 1999.
14