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1

Abusorrah, Abdullah M. "Optimal Power Flow Using Adaptive Fuzzy Logic Controllers." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/975170.

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This paper presents an approach for optimum reactive power dispatch through the power network with flexible AC transmission systems (FACTSs) devices, using adaptive fuzzy logic controller (AFLC) driven by adaptive fuzzy sets (AFSs). The membership functions of AFLC are optimized based on 2nd-order fuzzy set specifications. The operation of FACTS devices (particularly, static VAR compensator (SVC)) and the setting of their control parameters (QSVC) are optimized dynamically based on the proposed AFLC to enhance the power system stability in addition to their main function of power flow control.
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2

Elnaghi, Basem E., M. N. Abelwhab, Reham H. Mohammed, Fathy El Sayed Abdel-Kader, Ahmed M. Ismaiel, and Mohamed E. Dessouki. "The Validation and Implementation of the Second-Order Adaptive Fuzzy Logic Controller of a Double-Fed Induction Generator in an Oscillating Water Column." Electronics 13, no. 2 (2024): 291. http://dx.doi.org/10.3390/electronics13020291.

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This article presents a second-order adaptive fuzzy logic controller (SO-AFLC) to improve the performance of a grid-connected double-fed induction generator (DFIG) in an oscillating water column power plant (OWCPP). The proposed SO-AFLC was used to improve the maximum power point tracking (MPPT), DC link voltage stability, and reactive power tracking for the DFIG oscillating water column power plant. The SO-AFLC reduces oscillations, overshooting, and mean square error. The SO-AFLC improved the mean square error by 40.4% in comparison to the adaptive fuzzy logic controller (AFLC) and by 84.9%
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3

Sadeghi, Maryam, and Majid Gholami. "Robust Adaptive Fuzzy Logic Controllers for Intelligent Universal Transformers in ADA." Advanced Materials Research 403-408 (November 2011): 5038–44. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.5038.

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Intelligent Universal Transformer (IUT) will comprise in Advanced Distribution Automation (ADA) with a new invention in control and management in future. It evolves with a high speed traditional transformer in addition to power electronic base construction will eventuate to oil elimination, dimensional size and weight reduction. Adaptive Fuzzy Logic Control (AFLC) is an adaptive progressed method with the high system performance capability being raised even on the uncertainty conditions. It enhances system stability, improves flexibility and releases designers from precise mathematical model u
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4

Yordanova, Snejana, and Milen Slavov. "Stability Analysis of Model-Free Adaptive Fuzzy Logic Control System Applied for Liquid Level Control in Soda Production." Jordan Journal of Electrical Engineering 9, no. 1 (2023): 14. http://dx.doi.org/10.5455/jjee.204-1667497864.

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Efficient control of liquid level - in a carbonization column (CCl) of soda ash production plants - is a difficult task because the plants are nonlinear, subjected to disturbances and lack a reliable mathematical model. To attain such efficient control, model-free fuzzy logic controllers (FLC) based on empirical knowledge are successfully developed and implemented, and adaptation mechanisms are added to aid the FLC tuning and compensate for plant changes. However, the stability analysis - of the adaptive FLC (AFLC) systems - is a critical issue that needs addressing. For this reason, the curre
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Priyadarshi, Neeraj, Amarjeet Kr. Sharma, Akash Kumar Bhoi, S. N. Ahmad, Farooque Azam, and S. Priyam. "A Practical performance verification of AFLC based MPPT for standalone PV power system under varying weather condi-tion." International Journal of Engineering & Technology 7, no. 2.12 (2018): 338. http://dx.doi.org/10.14419/ijet.v7i2.12.11319.

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For amelioration of tracking efficiency, the Maximum power point trackers (MPPT) are very important for photovoltaic (PV) generation. For this purpose here a reformed adaptive fuzzy logic control (FLC) MPPT tracker has been presented to enhance its overall power efficiency and gives rapid transient response under changing weather conditions. For voltage regulation at load bus, the zeta buck-boost converter has been taken for its least voltage ripple. MATLAB/SIMULINK simulation environment and dSPACE DS1104 real time control board is used to test the proposed adaptive fuzzy logic controller bas
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6

Rathaiah, M., P. Ram Kishore Kumar Reddy, and P. Sujatha. "Adaptive Fuzzy Controller Design for Solar And Wind Based Hybrid System." International Journal of Engineering & Technology 7, no. 2.24 (2018): 283. http://dx.doi.org/10.14419/ijet.v7i2.24.12065.

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Renewable Energy Resources plays an active role in standing against global warming and reduce the use of conventional energy sources. Hybrid systems formed by combining the renewable energy sources are efficient relatively. The intent of this paper is to furnish endurable power for frontier and far-off places with hybrid-system of architecture. The intended system embodying DFIG and solar PV based wind turbine. In solar systems, control mechanism is essential for improving the performance. This paper proposes a method of incremental conductance approach based MPPT Adaptive Fuzzy Logic Controll
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7

Hieu, Le Dinh, and Temkin Igor Olegovich. "Application of Adaptive PSO and Adaptive Fuzzy Logic Controllers to Speed Control PMSM Motor Servo Systems." MATEC Web of Conferences 220 (2018): 08003. http://dx.doi.org/10.1051/matecconf/201822008003.

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Three phases Permanent Magnet Synchronous Motors (PMSM) are non-linear resistors, resistance of stator winding, air gap flux, cross-coupling, saturation variable times and cogging torque in operation. Due to the nonlinear nature of PMSM, it is a challenge to control exactly the speed, torque and position. This paper presents two methods for speed control stabilization of the PMSM using the Adaptive Fuzzy Logic - Proportional Integral Derivative controller (AFL-PID) and Adaptive Particle Swarm Optimization - Proportional Integral Derivative controller (APSO-PID). The response results of the spe
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8

Liu, Chun-Liang, Jing-Hsiao Chen, Yi-Hua Liu, and Zong-Zhen Yang. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems." Energies 7, no. 4 (2014): 2177–93. http://dx.doi.org/10.3390/en7042177.

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9

Ramesh, Sundar, Vijayakumar Govindaraj, Raja Raman, Shanmugasundaram Venkatarajan, and Kamatchi Kannan Vijayarangan. "Reduced switch cascaded asymmetrical 27 level inverter-STATCOMwith fuzzy logic controller." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1288. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1288-1297.

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<p>In this study, a 27-levelinverter with a reduced switch asymmetrical cascaded H-bridge (CHB) with fuzzy logic controller (FLC) is proposed. With series connections, a low voltage converter, a middle level voltage converter, and a high voltage converter make up the static synchronous compensator (STATCOM). The configuration of the asymmetrical inverter uses trinary DCsources. To acquire switching signals for the trinary inverter-based STATCOM to compensate for real power, load voltage, reactive power, load current, and power factor under load changing conditions, FLC is constructed. Wi
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10

Gupta, Nikita, and Rachana Garg. "Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid." International Journal of Hydrogen Energy 42, no. 26 (2017): 16375–85. http://dx.doi.org/10.1016/j.ijhydene.2017.05.103.

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11

Saleem, Adeel, Kholiddinov Ilkhombek Khosiljonovich, Kholiddinova Mashkhurakhon Mutalibjon Qizi, Komolddinov Sokhib, Sharobiddinov MirzohidShakhobiddin Ugli, and Soliev Sokhibjon Obidovich. "Estimation of powerquality in distribution system using fuzzy logic theory." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1236. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1236-1245.

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There are several methods are used to calculate the power quality indicators. These objectives are now served by the most recent soft computing theories, such as neural networks, fuzzy time series, fuzzy logic theory, and other techniques. The fuzzy logic theory is one of the methods used to calculate the power quality indicators for the distribution electric network in this paper. It resolves the issue of forecasting the voltage values on distribution electrical networks' buses and enhances the quality of electricity in the face of fluctuating consumer loads and uncertainty. This paper propos
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12

Guliyev, H. B., N. V. Tomin, and F. Sh Ibrahimov. "Methods of intelligent protection from asymmetrical conditions in electric networks." E3S Web of Conferences 209 (2020): 07004. http://dx.doi.org/10.1051/e3sconf/202020907004.

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Possible cases of non-fulfilment of the requirements of the necessary sensitivity and the selectivity of the existing protection against incomplete-phase and asymmetric modes in the electrical network under conditions of uncertainty of the initial data are determined. The paper considers the issue of intellectualization of protection from asymmetric modes based on theories of fuzzy logic, as well as machine learning models, and offers a structural diagram and an algorithm for the functioning of protection. The results of the synthesis of intelligent protection and an approach to modelling and
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13

Muhamad Nabil bin Hidayat. "Robust Control of PV Micro-Grids under Dynamic Conditions Using an Improved Nonlinear Fuzzy Logic Approach." Journal of Information Systems Engineering and Management 10, no. 49s (2025): 279–97. https://doi.org/10.52783/jisem.v10i49s.9874.

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This study proposes a Modified Nonlinear Fuzzy Logic Controller (MNLC) as an advanced solution to improve load stability in photovoltaic (PV) micro-grid systems under challenging operational scenarios. Extensive simulations conducted in MATLAB Simulink benchmark the MNLC against the conventional Proportional-Integral (PI) controller under various disturbances such as high loading, symmetrical and asymmetrical faults, irradiance variability, and partial power shedding. Results reveal that the MNLC consistently outperforms the conventional controller by ensuring faster stabilization, minimizing
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14

Bie, Hongling, Pengyu Li, Fenghua Chen, and Ebrahim Ghaderpour. "An Observer-Based Type-3 Fuzzy Control for Non-Holonomic Wheeled Robots." Symmetry 15, no. 7 (2023): 1354. http://dx.doi.org/10.3390/sym15071354.

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Non-holonomic wheeled robots (NWR) comprise a type of robotic system; they use wheels for movement and offer several advantages over other types. They are efficient, highly, and maneuverable, making them ideal for factory automation, logistics, transportation, and healthcare. The control of this type of robot is complicated, due to the complexity of modeling, asymmetrical non-holonomic constraints, and unknown perturbations in various applications. Therefore, in this study, a novel type-3 (T3) fuzzy logic system (FLS)-based controller is developed for NWRs. T3-FLSs are employed for modeling, a
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15

Elzein, I. A., and Yu N. Petrenko. "A STRUCTURE APPROACH FOR A PHOTOVOLTAIC STATION CONTROL BASED ON ADAPTIVE FUZZY AGENT." «System analysis and applied information science», no. 3 (November 2, 2017): 40–48. http://dx.doi.org/10.21122/2309-4923-2017-3-40-48.

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The solar energy is directly converted into electrical energy by solar PV module. Each type of PV module has its own specific characteristic corresponding to the surrounding condition such as irradiation, and temperature and this makes the tracking of maximum power point (MPP) a complicated problem. To overcome this problem, many maximum power point tracking (MPPT) control algorithms have been presented. Fuzzy logic (FL) has been used for tracking the MPP of PV modules because it has the advantages of being robust, relatively simple to design and does not require the knowledge of an exact mode
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16

H. Malik, Arshad, Aftab A. Memon, and Feroza Arshad. "Design of Fractional Order Sliding Mode Adaptive Fuzzy Switching Controllers for Uncertain ACP1000 Nuclear Reactor Dynamics." Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 59, no. 2 (2022): 47–60. http://dx.doi.org/10.53560/ppasa(59-2)760.

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Advanced Chinese Pressurized Water Reactor (ACP1000) is a third generation load following nuclear reactor. ACP1000 is designed to control the reactor power by a sophisticated control rod mechanism under the base load normal operation of a nuclear power plant in Mode-G. To extend the normal operation of ACP1000 for load following condition, boron adjustment control is used in manual configuration. In this research work, model based two new controllers are designed for ACP1000 reactor dynamics. A nonlinear two-point reactor kinetics model is developed for two halves of the reactor core designate
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17

Ezoji, H., A. Sheikholeslami, M. Rezanezhad, and H. Livani. "A new control method for Dynamic Voltage Restorer with asymmetrical inverter legs based on fuzzy logic controller." Simulation Modelling Practice and Theory 18, no. 6 (2010): 806–19. http://dx.doi.org/10.1016/j.simpat.2010.01.017.

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18

Verma, Pallavi, Rachana Garg, and Priya Mahajan. "Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition." ISA Transactions 100 (May 2020): 251–63. http://dx.doi.org/10.1016/j.isatra.2020.01.009.

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19

Dynamic, channel unit allocation load balancing hierarchical genetic algorithms neural-fuzzy controllers TDD-CDMA/TDD wireless networks radio resource management. "Hierarchical Genetic Algorithm For Dynamic Channel Units Allocation in TD-CDMA/TDD System." International Journal of Wireless & Mobile Networks (IJWMN) 11, no. 1 (2009): 1–14. https://doi.org/10.5281/zenodo.6396625.

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Hierarchical Genetic Algorithms (HGA) as a tool for search and optimizing methodology have now reached a mature stage. The minimum resource facility to carry user traffic, termed a channel unit (CU), is composed of a one time-slot and one code in the TD-CDMA/TDD system. The control of the number of CUs depends on the traffic load solves varied and asymmetrical traffic problems in the 3G system. In a cellular network, the call arrival rate, call duration and the communication overhead between the base stations and the control center are vague and uncertain, regardless of whether the criteria of
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20

Hussein, Ali, Ali Abdul Razzaq Altahir, and Marwa Mohammed Marie. "Design and Testing of a Smart Relaying System for IEEE – 9 Bus Network." Kerbala Journal for Engineering Sciences 2, no. 4 (2022): 235–51. https://doi.org/10.63463/kjes1062.

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This article proposes to design and simulate a smart relay. These relays are installed devices that can be added to an electrical circuit and allow remote control. The main purpose of the proposed smart protection is to improve the dynamic performance of the IEEE 9-Bus network and reduce the number of interruptions and outages due to emergencies or accidents in the transmission system. The installation of a protection system with a smart relay using fuzzy logic control. Artificial controllers used to protect the electrical system by separating the parts that have malfunctioned while keeping th
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21

Kazi Abdullah Al Imon, Sk Md Ashik, and Ilias Elmouki, Amine Hamdache. "Adaptive Fuzzy Logic Control for Shunt Active Power Filters in Improving Power Quality." Nanotechnology Perceptions, December 23, 2024. https://doi.org/10.62441/nano-ntp.vi.5180.

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Power quality is a vital aspect of modern electrical power systems, significantly impacting the efficiency and reliability of these networks. Among the various solutions to power quality issues, Shunt Active Power Filters (SAPFs) play a crucial role in mitigating problems such as harmonics and reactive power. Traditional control methods for SAPFs often face limitations in dynamic performance and adaptability. This research paper presents an advanced approach using Adaptive Fuzzy Logic Control (AFLC) for SAPFs to enhance power quality. The proposed AFLC system combines the robustness of fuzzy l
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22

Elnaghi, Basem E., Ahmed M. Ismaiel, Fathy El Sayed Abdel-Kader, M. N. Abelwhab, and Reham H. Mohammed. "Validation of energy valley optimization for adaptive fuzzy logic controller of DFIG-based wind turbines." Scientific Reports 15, no. 1 (2025). https://doi.org/10.1038/s41598-024-82382-y.

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AbstractThis study presents a novel optimization algorithm known as the Energy Valley Optimizer Approach (EVOA) designed to effectively develop six optimal adaptive fuzzy logic controllers (AFLCs) comprising 30 parameters for a grid-tied doubly fed induction generator (DFIG) utilized in wind power plants (WPP). The primary objective of implementing EVOA-based AFLCs is to maximize power extraction from the DFIG in wind energy applications while simultaneously improving dynamic response and minimizing errors during operation. The performance of the EVOA-based AFLCs is thoroughly investigated and
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23

"Comparative analysis of Maximum Power Point Tracking Algorithms for Photovoltaic Applications." WSEAS TRANSACTIONS ON POWER SYSTEMS 15 (September 15, 2020). http://dx.doi.org/10.37394/232016.2020.15.20.

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Currently, photovoltaic system has gained importance in electrical power generation system, since it is a clean and renewable energy source. An important characteristic of photovoltaic panels is that the available maximum power is provided only in a single operating point called maximum power point. But the position of maximum power point is not fixed and it moves according to the varying irradiance, varying temperature and the load. This requires a mechanism called maximum power point tracking (MPPT) so that maximum power is obtained effectively. In the literature, many classical methods have
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24

Mohamed, M. Refaat Hanaa T. El-madany Yousry Atia Mahmoud M. Sayed and Hossam A. Abdel Fattah. "Enhanced Dynamic Response of Grid-Connected PV Systems Using Adaptive Fuzzy Logic Control." December 21, 2024. https://doi.org/10.5281/zenodo.14540947.

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In recent years, the integration of renewable energy sources has been growing steadily, with the goal of decreasing dependence on fossil fuels for electricity generation. Photovoltaic systems are favored in both remote and urban areas with adequate sunlight. The use of Photovoltaic (PV) is on the rise due to increasing fuel prices and technological advancements that have significantly lowered manufacturing costs. This paper introduces a comprehensive controller design for single-phase, single-stage grid-connected PV systems. The performance of the proposed controller i
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25

Deepa, V. B. "EFFICIENT ADAPTATION OF FUZZY CONTROLLER FOR SMOOTH SENDING RATE TO AVOID CONGESTION IN MULTICAST NETWORKS." January 11, 2019. https://doi.org/10.5281/zenodo.2537582.

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This paper prefers a fuzzy-logic-based sending rate adaption scheme named FSR(Fuzzy Sending Rate) intending to improve the evenness of TCPFriendly Multicast Congestion Control (TFMCC). To mitigate fluctuation of sending rate for TFMCC sender, FSR intends, five actions and link utilization for tuning sending rate and uses a fuzzy controller to determine which operation should be reaped according to the feedback information from CLR (current limiting receiver). Asymmetrical membership functions and biased fuzzy inference rules make FSR as friendly to TCP flows as TFMCC. Simulation results show t
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26

Verma, Pallavi, Rachana Garg, and Priya Mahajan. "ASYMMETRICAL FUZZY LOGIC CONTROL BASED MPPT ALGORITHM FOR STAND-ALONE PV SYSTEM UNDER PARTIALLY SHADED CONDITIONS." Scientia Iranica, February 18, 2019, 0. http://dx.doi.org/10.24200/sci.2019.51737.2338.

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27

"Enhancement of the Dynamic Behavior of Grid-Connected DFIG Based Wind Turbines by using Fuzzy Logic Controller under LVRT Conditions." International Journal of Innovative Technology and Exploring Engineering 9, no. 2 (2019): 3164–72. http://dx.doi.org/10.35940/ijitee.b7809.129219.

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In recent years, due to the interconnection of large capacity wind turbines to the power grid lead, there are serious issues in the stability of Grid and generation of electrical power. Also, it is showing effect on the dynamic performance of the electrical power systems. To maintain stability during sudden changes in the grid, the LVRT (Low Voltage Ride Through) capability of the Wind Turbines is one of the prime requirements. Wind turbines attached to DFIG (Doubly Fed Induction Generators) are advantageous which have LVRT capability at limited extent. In this paper, the elaborated discussion
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28

Abdulammer, Ali Hussein, Ali Abdul Razzaq Altahir, and Marwa M. Marei. "Electrical faults diagnoses and classification adoptring an intelligent relaying system." International journal of health sciences, September 12, 2022, 3848–61. http://dx.doi.org/10.53730/ijhs.v6ns7.12669.

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This paper demonstrates the construction, designing analysis and control strategies for electrical faults diagnoses and classification adoptring an intelligent relaying system while supplying power. Relays are installed devices that can be added to any electrical circuit and allow remote wireless control of anything else connected to that circuit.The main purpose of the proposed smart protection system in the current study is to improve the dynamic performance of IEEE 9-Bus network to try to reduce interruptions and power outages due to some emergencies or intended accidents in the electric sy
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29

Potts, Graham. "For God and Gaga: Comparing the Same-Sex Marriage Discourse and Homonationalism in Canada and the United States." M/C Journal 15, no. 6 (2012). http://dx.doi.org/10.5204/mcj.564.

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We Break Up, I Publish: Theorising and Emotional Processing like Taylor Swift In 2007 after the rather painful end of my first long-term same-sex relationship I asked myself two questions (and like a good graduate student wrote a paper about it that was subsequently published): (1) what is love; (2) and if love exists, are queer and straight love somehow different. I asked myself the second question because, unlike my previous “straight” breakups (back when I honestly thought I was straight), this one was different, was far more messy, and seemed to have a lot to do with the fact that my then
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