i-manager Publications

i-manager's Journal on Circuits and Systems (JCIR)

Current Issue Vol. 12 Issue 1

Dynamic Simulation and Sensitivity Analysis of Steam Generation Solar Power Plant
Unified Power Quality Conditioner (UPQC) Research Study on Steady - State Power Flow
Photovoltaic Module Failure Detection using Machine Vision and Lazy Learning Technique
Design and Implementation of Wallace Tree Multiplier and Its Applications in FIR Filter
Review on Obstacle Detection in Solar Panel Cleaning Applications

Most Cited

Volume 5 Issue 1 December - February 2017

Research Paper

Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor

Ahmed M.Hussien* , Mahmoud Abdallah Attia**

* Preventive Maintenance Engineer, HeeSung Electronics, Egypt.

** Faculty of Engineering, Department of Electrical Power and Machines, Ain Shams University, Cairo, Egypt.

Hussien, A. M., and Attia, M. A. (2017). Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor. i-manager’s Journal on Circuits and Systems, 5(1), 1-10. https://doi.org/10.26634/jcir.5.1.13542

Abstract

The target of this work is to make optimize the gains in Proportional Integral (PI) and Proportional Integral Acceleration (PIA) controllers for Switched Reluctance Motor (SRM) drive system by using two different optimization methods. The methods are Harmonic Search (HS) and Teaching-Learning Based Optimization (TLBO). The Model of SRM can be easily represented with its controllers in Matlab/Simulink which gives the advantage to show the performance simulation of the machine illustrated by figures and also the effect of the load on the motor. As mentioned before, two controllers are used here. First one is the classical Proportional Integral controller (PI). The PI is the common and simple method used for controlling the feedback signal and it is used in the SRM drive system to control both speed and current. The second controller is Proportional Integral Acceleration controller (PIA). The PIA controllers have a good performance with the third order applications. The results prove the superiority of PIA than the classical controller. Results determine that the TLBO optimization method get better results than the HS method. Finally, comparison with previous work is carried out to verify the efficiency of presented methods. The comparison is applied at several loading conditions and the presented work proves its superiority and efficiently under all loading conditions studied.

References

[1]. Abbasian, S. (2013). Simulation and Testing of a Switched Reluctance Motor by Matlab/Simulink and dSPACE. Chalmers University of Technology, Göteborg, Sweden.

[2]. Åström, K. J. (2002). Control system design. Lecture Notes for ME 155A, Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, 333.

[3]. Chong, E. K., & Zak, S. H. (2004). An Introduction to Optimization. John Wiley & Sons.

[4]. Diaa, I. M. et al. (2016). Harmony Search Algorithm and Teaching-Learning-Based Optimization Approaches to Enhance Power System Performance. World Applied Sciences Journal, 34(10), 1357-1365.

[5]. DiRenzo, M. T. (2000). Switched reluctance motor control–basic operation and example using the TMS320F240. Texas Instruments, Digital Signal Processing Solutions, in SPRA420A-February.

[6]. Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: Harmony search. Simulation, 76(2), 60-68.

[7]. Krishnan, R. (2001). Switched reluctance motor drives: Modeling, simulation, analysis, design, and applications. CRC Press.

[8]. Lakshmi, P. P., & Ravisrinivas, L. (2012). Modeling and Simulation of Switched Reluctance Motor Double Closed Loop Control System. International Journal of Innovative Research and Development, 1(8), 546-562.

[9]. Miller, T. J. E. (Ed.). (2001). Electronic control of switched reluctance machines. Power Engineering Series, Elsevier Ltd.

[10]. Puangdownreong, D. (2012). Application of current search to optimum PIDA controller design. Intelligent Control and Automation, 3(4), 303.

[11]. Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.

[12]. Sasmal, M., & Mula, D. (2015). Simulation of Speed Controlled Switched Reluctance Motor Drive System using MATLAB Simulink. International Journal of Engineering Research and General Science, 3(3).

[13]. Wang, H. (2014). ECE 900 Simulation of Switched Reluctance Motor and Control Based on MATLAB Environment (Doctoral Dissertation, University of Alberta).

[14]. Weise, T. (2009). Global Optimization Algorithms- Theory and Application. University of Kassel, Distributed Systems Group, Second Edition.

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Research Paper

Multi Converter Circuit for Battery Energy Storage Systems (BESS)

Ch. Venkateswara Rao* , S. S. Tulasi Ram, B. Brahmaiah*

* Research Scholar, JNTUK, Kakinada, India.

Professor, Department of Electrical and Electronics Engineering, JNTUH, Hyderabad, India.

* Principal, SVEC, Tadepalligudem, India.

Rao, Ch. V., Tulasiram, S. S., and Brahmaiah, B. (2017). Multi Converter Circuit for Battery Energy Storage Systems (BESS). i-manager’s Journal on Circuits and Systems, 5(1), 11-22. https://doi.org/10.26634/jcir.5.1.13543

Abstract

Now-a-days, renewable energy sources have gained a lot of importance which reduces the greenhouse gas emission and fossil fuel pollution [19]. Renewable energy is not stable and it does not give firm output power. Power grids face a major transformation for integrating renewable energy sources for the improvement of energy efficiency and allowing consumers for more control over the consumption of their energy. Renewable energy bases such as wind-turbine and photovoltaic power generators has an impact on the stability due to the variations in their outputs because of change in weather conditions. Especially the solar energy is available in day time and not in night time. To overcome the variation of output powers from wind and solar, a proper energy storage system is required. The energy storage gains lot of importance in future power supply due to increased renewable sources [5], [22]. Due to continuous demand for smart technology implementation such as batteries with renewable sources will become huge economic progress [8]. In this paper, a 25 KW BESS (Battery Energy Storage System) is considered as a countermeasure for the above mentioned contention. BESS requires bidirectional converters (AC-DC & DC-AC), here converter efficiency is to be improved for increasing the efficiency of the BESS. The performance of 25 KW converter for BESS by using novel multi inverter topology, which is estimated to be a disparate convertor topology for improving the performance and efficiency of the BESS. Finally, the results are simulated for the voltage controlled multi inverter topology at different loads, grid power, load sharing at charging, and discharging conditions are also conferred.

References

[1]. Abbey, C., Robinson, J., & Joós, G. (2008). Integrating renewable energy sources and storage into isolated diesel generator supplied electric power systems. 2008 13^th International Power Electronics and Motion Control Conference (EPE-PEMC 2008).

[2]. Ashourpouri, A., Sheikholeslami, A., Shahabi, M., & Niaki, S.A.N., (2012). Active power control of smart grids nd using Plug-in Hybrid Electric Vehicle. 2 Iranian Conference on Smart Grids (ICSG), 2012, 1-6, 24-25.

[3]. Chen, Y.M., Liu, Y.C., Hung, S.C., & Cheng, C.S. (2007). Multi-Input Inverter for Grid-Connected Hybrid PV/Wind Power System. IEEE Transactions on Power Electronics, 22(3), 1070-1077.

[4]. Datta, M., Senjyu, T., Yona, A., Funabashi, T., & Chul- Hwan Kim, (2011). A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System. IEEE Transactions on Energy Conversion, 26(2), 559-571.

[5]. Demetriades, G.D., Hermansson, W., Svensson, J.R., Papastergiou, K., & Larsson, T. (2014). DC-breaker for a Multi-Megawatt Battery Energy Storage System. The 2014 International Power Electronics Conference, (pp. 1220- 1226). IEEE.

[6]. Grandi, G., Rossi, C., Ostojic, D., & Casadei, D. (2009). A New Multilevel Conversation Structure for Griddrops Connected PV Applications. IEEE Transactions on Industrial Electronics, 56(11), 4416-4426.

[7]. Haruni, A.M.O., Negnevitsky, M., Haque, M.E., & Gargoom, A., (2013). A Novel Operation and Control Strategy for a Standalone Hybrid Renewable Power System. IEEE Transactions on Sustainable Energy, 4(2), 402-413.

[8]. Hill, J., and Nwankpa, C. (2013). Resource Availability Effects on Cost Optimization for Battery Storage Systems. In Innovative Smart Grid Technologies (ISGI), 2013 IEEE PES (pp. 1-6). IEEE.

[9]. Jiang, D., Mo, Y., Jiang, W., Huang, H., Zhang, L., Xu, P., & Hu, X. (2011). Design of photovoltaic water-pump control system based on TMS320F2812. 2011 International Conference on Materials for Renewable Energy & Environment (ICMREE), 1, 147-150, 20-22.

[10]. Kahrobaeian, A., & Abdel-Rady Ibrahim Mohamed, Y., (2015). Networked-Based Hybrid Distributed Power Sharing and Control for Islanded Microgrid Systems. IEEE Transactions on Power Electronics, 30(2), 603-617.

[11]. Kampezidou, S.I., Polymeneas, E., & Meliopoulos, S. (2015). The Economic Effect of Storage in Systems with High Penetration of Renewable Sources. This work was part of the PSERC project M-32, New Operation Tools for Improving Flexibility and Reliability of Systems with Variable Resources and Storage Devices.

[12]. Karmiris, G., & Tengnér, T. (2013). Control Method Evaluation for Battery Energy Storage System utilized in Renewable Smoothing. In Industrial Electronics Society, th IECON 2013-39 Annual Conference of the IEEE (pp. 1566- 1570). IEEE.

[13]. Kurohane, K., Senjyu, T., Yona, A, Urasaki, N., Goya, T.; & Funabashi, T., (2010). A Hybrid Smart AC/DC Power System. IEEE Transactions on Smart Grid, 1(2), 199-204, doi: 10.1109/TSG.2010.2053392.

[14]. Onoda, S., & Emadi, A, (2004). PSIM-based modeling of automotive power systems: Conventional, electric, and hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 53(2), 390-400.

[15]. Palma, L., & Enjeti, P.N. (2009). A Modular Fuel Cell, Modular DC–DC Converter Concept for High Performance and Enhanced Reliability. IEEE Transactions on Power Electronics, 24(6), pp. 1437-1443.

[16]. Saggini, S., Garcea, G., Ghioni, M., & Mattavelli, P., (2005). Analysis of high-performance synchronousasynchronous digital control for DC-DC boost converters. Applied Power Electronics Conference and Exposition, 2005. APEC 2005. Twentieth Annual IEEE, 2(6-10), 892-898.

[17]. Senjyu, T., Nakaji, T., Uezato, K., & Funabashi, T., (2005). A hybrid power system using alternative energy facilities in isolated island. IEEE Transactions on Energy Conversion, 20(2), 406-414, doi: 10.1109/TEC.2004.837275.

[18]. Sharma, P., & Bhatti, T.S., (2013). Performance Investigation of Isolated Wind–Diesel Hybrid Power Systems With WECS Having PMIG. IEEE Transactions on Industrial Electronics, 60(4), 1630-1637.

[19]. Shim, J.W., Cho, Y., Kim, S.J., Min, S.W., & Hur, K. (2013). Synergistic Control of SMES and Battery Energy Storage for Enabling Dispatchability of Renewable Energy Sources. IEEE Transactions on Applied Superconductivity, 23(3).

[20]. Steimer, P.K. (2010). Enabled by high power electronics - Energy efficiency, renewables and smart grids. Power Electronics Conference (IPEC), 2010 International, 21-24, 11-15.

[21]. Su, G.J., & Tang, L. (2008). A Multiphase, Modular, Bidirectional, Triple-Voltage DC–DC Converter for Hybrid and Fuel Cell Vehicle Power Systems. IEEE Transactions on Power Electronics, 23(6), 3035-3046.

[22]. Susuki, Y., Koo, T.J., Ebina, H., Yamazaki, T., Ochi, T., Uemura, T., & Hikihara, T., (2012). A Hybrid System Approach to the Analysis and Design of Power Grid Dynamic Performance. Proceedings of the IEEE, 100(1), 225-239.

[23]. Vahidi, A., Kolmanovsky, I., & Stefanopoulou, A. (2007). Constraint Handling in a Fuel Cell System: A Fast Reference Governor Approach. IEEE Transactions on Control Systems Technology, 15(1), 86-98.

[24]. Villanueva, E., Correa, P., Rodriguez, J., & Pacas, M. (2009). Control of a Single-Phase Cascaded H-Bridge Multilevel Inverter for Grid-Connected Photovoltaoc systems. IEEE Transactions on Industrial Electronics, 56(11), 4399-4406.

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Research Paper

Microgrid and its Adaptive Protection

Aakash Kumar Seth* , Kuldeep Sahay**

* PG Scholar, Department of Electrical Engineering, Institute of Engineering and Technology, an Autonomous Constituent College of Dr. A.P.J Abdul Kalam Technical University, Lucknow, India.

** Professor, Department of Electrical Engineering, Institute of Engineering and Technology, an Autonomous Constituent College of Dr. A.P.J Abdul Kalam Technical University, Lucknow, India.

Seth, A. K., and Sahay, K. (2017). Microgrid and its Adaptive Protection. i-manager’s Journal on Circuits and Systems, 5(1), 23-29. https://doi.org/10.26634/jcir.5.1.13544

Abstract

This paper summarizes the overview about the microgrid and the adaptive protection of the microgrid by using advance relay. Microgrid is a combination of interconnected loads, distributed energy resources (like PV cell, combine heat and power, wind energy, small hydro, etc.), and the storage unit (i.e. battery) within clearly defined electrical boundaries that acts as a single controllable entity with respect to the grid. In adaptive protection scheme, relay changes its settings automatically when microgrid changes its operational state because the level of fault current is different in both working mode. The value of fault current is high in grid connected mode so the relay settings must be high and the fault current value is less in island mode, therefore the relay setting is less compared to the grid connected mode. Microgrid can operate in two modes, i.e. grid connected mode and islanded mode. A microgrid which has three switchboards (each switchboard has a generation unit and load) is designed and adaptive protection is implemented on it in Matlab/Simulink. The source of energy is wind in the entire generation unit and load is resistive of same power. Two fault locations have been taken into account in both the operating modes and the smallest portion of the load has been disconnected during fault time. Results of six cases have been discussed in both the fault locations and the status of microgrid circuit breaker is shown in the event table.

References

[1]. Buigues G., Dysko, A., Valverde, V., Zamora, I., & Fernández, E. (2013). Microgrid Protection: Technical challenges and existing techniques. In International Conference on Renewable Energies and Power Quality, 1, 222-227.

[2]. Ding, M., Zhang, Y., & Mao, M. (2009). Key technologies for microgrids: A review. In Sustainable Power Generation and Supply, 2009. Supergen '09. International Conference on, (pp. 1-5) IEEE.

[3]. Govardhan, M. D., & Roy, R. (2011). A Review on key issues of microgrid. In the Proceedings of the IEEE PES Innovative Smart Grid Technologies – India (ISGT India), 322-327.

[4]. Hu, J., Zhang, T., Du, S., & Zhao, Y. (2015). An Overview on Analysis and Control of Microgrid System. In International Journal of Control and Automation, 8(6), 65- 76.

[5]. Kumar P.A., Shankar, J., & Nagaraju, Y. (2013). Protection Issues in Microgrid. In International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE), 1(6), 19-30.

[6]. Oudalov, A., & Fidigatti, A. (2009). Adaptive network protection in microgrids. International Journal of Distributed Energy Source, 5(3), 201–205.

[7]. Priolkar, J.G., & Shet, V.N. (2013). A Review on Protection Issues in microgrid. In International Journal of Emerging Trends in Electrical and Electronics (IJETEE), 2(1), 6-11.

[8]. Rockefeller, G.D., Wagner, C.L., Linders, J.R., Hicks, K.L., & Rizy, D.T. (1988). Adaptive Transmission Relaying Concepts for Improved Performance. IEEE Trans. on Power Delivery, 3(4), 1446-1458.

[9]. Sharma, V., & Singh, I. (2015). Microgrids: A review. In International Journal of Science and Research (IJSR), 4(7), 126-130.

[10]. Shelke, G.J., & Shahakar, Y.D. (2013). A Methodology for Power System Protection using Digital Relay. In International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), 3(12), 519- 527.

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Research Paper

Modeling and Analysis of Distributed Power Flow Controller Damping Of Power System Oscillations in a Transmission System

Raja Reddy Duvvuru* , B. Venkata Prasanth, V. Ganesh*

* Research Scholar, Department of Electrical Engineering, University of JNTUACEP, Kadapa, India.

Professor, Department of Electrical Engineering, QIS College of Engineering and Technology, Ongole, India.

* Professor, Department of Electrical and Electronics Engineering, JNTUA College of Engineering, Pulivendula, A.P, India.

Duvvuru, R. R., Prasanth, B. V., and Ganesh, V. (2017). Modeling and Analysis of Distributed Power Flow Controller Damping Of Power System Oscillations in a Transmission System. i-manager’s Journal on Circuits and Systems, 5(1), 30-35. https://doi.org/10.26634/jcir.5.1.13545

Abstract

The requirement of electricity demand has been growing day-to-day. Due to this, the transmission lines become overloaded. So that, it is very essential to monitor the flow of power within the standard limits and the safety operation. A new and cost effectual voltage source converter based FACTS converter has been proposed to control the transmission power flow. in this paper, Distributed Power Flow Controller is used to control the transmission power flow. The main objective of this work is to eliminate the low-frequency oscillations by proper designing of damping controller in DPFC. In order to explore the parameters, PI controller and fuzzy logic controllers are used. After comparing the results it can be proved that the Distributed-PFC with the advantageous design can efficiently improve the performance of the system more effectively when compared with other control techniques.

References

[1]. Anaya-Lara, O., & Acha, E. (2002). Modeling and analysis of custom power systems by PSCAD/EMTDC. IEEE Transactions on Power Delivery, 17(1), 266-272.

[2]. Anderson, P. M., & Fouad, A. A. (1977). Power System Control and Stability. Ames, IA: Iowa State Univ Press.

[3]. Duvvuru, R., Ganesh, V., & Prasanth, B. V. (2016). A Novel Approach for Reducing the Power Oscillations in Transmission System by using Distributed Power Flow Controller (DPFC). IJCTA, International Science Press, 9(14), 6721-6730.

[4]. Gibbard, M. J. (1991). Robust design of Fuzzy controllers in power systems over a wide range of operating conditions. IEEE Trans. Power System, 794–800.

[5]. Gyugyi, L., Schauder, C. D., Williams, S. L., Rietman, T. R., Torgerson, D. R., & Edris, A. (1995). The unified power flow controller: A new approach to power transmission control. IEEE Transactions on Power Delivery, 10(2), 1085- 1097.

[6]. Hingorani, N. G., Gyugyi, L., & El-Hawary, M. (2000). Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems (Vol. 2). New York: IEEE Press.

[7]. Keri, A. J. F., Mehraban, A. S., Lombard, X., Eiriachy, A., & Edris, A. A. (1999). Unified power flow controller (UPFC): Modeling and analysis. IEEE Transactions on Power Delivery, 14(2), 648-654.

[8]. Mohaddes, M., Gole, A. M., & Elez, S. (2001). Steady state frequency response of STATCOM. IEEE Transactions on Power Delivery, 16(1), 18-23.

[9]. Pohjanheimo, P., & Lakervi, E. (2000). Steady state modeling of custom power components in power distribution networks. In Power Engineering Society Winter Meeting, 2000. IEEE (Vol. 4, pp. 2949-2954). IEEE.

[10]. Safari, A., Soulat, B., & Ajami, A. (2013). Modeling and unified tuning of distributed power flow controller for damping of power system oscillations. Ain Shams Engineering Journal, 4(4), 775-782.

[11]. Yolac, U., & Yalcinoz, T. (2004). Comparison of fuzzy logic and PID controllers for TCSC using MATLAB. In Universities Power Engineering Conference, 2004. UPEC 2004. 39^th International (Vol. 1, pp. 438-442). IEEE.

[12]. Yuan, Z., de Haan, S. W., & Ferreira, B. (2007). A New FACTS component-Distributed Power Flow Controller (DPFC). In Power Electronics and Applications, 2007 European Conference on (pp. 1-4). IEEE.

[13]. Yuan, Z., de Haan, S. W., & Ferreira, B. (2009). Utilizing Distributed Power Flow Controller (DPFC) for power oscillation damping. In Power & Energy Society General Meeting, 2009 PES'09 (pp. 1-5). IEEE.

[14]. Yuan, Z., de Haan, S. W., Ferreira, J. B., & Cvoric, D. (2010). A FACTS device: Distributed Power-Flow Controller (DPFC). IEEE Transactions on Power Electronics, 25(10), 2564-2572.

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Research Paper

Performance Analysis of Optimized Tuned Controllerfor Load Frequency Control

Mahesh Singh* , D.D. Neema, R. N. Patel*

* Research Scholar, Department of Electrical Engineering, Swami Vivekananda Technical University, Bhilai (C.G.), India.

Professor, Department of Electrical Engineering, CIT, Rajnandgaon (C.G.), India.

* Professor, Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.

Singh, M., Neema, D. D., and Patel, R. N. (2017). Performance Analysis of Optimized Tuned Controller for Load Frequency Control. i-manager’s Journal on Circuits and Systems, 5(1), 36-43. https://doi.org/10.26634/jcir.5.1.13546

Abstract

The nonlinear nature of the system behavior has several disturbances due to which the stability of the system gets affected. Controlled operation of power systems is very critical and the most important factor is to achieve stable power system. For this reason, there is a need of different adaptive control techniques. Therefore, for obtaining lesser modeling error in the system, different intelligent control techniques are used, which improves the power system operation. PID controllers are most commonly used as it is simple in operation. Therefore, several tuning techniques like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) are being used for the optimum setting of PID controller parameters so as to improve the system stability. In this paper, the performance of different PID controller techniques is compared for four error minimization methods and is being applied to the load frequency control model that helps to identify optimum controller for an individual

References

[1]. Bhatt, V. K., & Bhongade, S. (2013). Design of PID controller in Automatic Voltage Regulator (AVR) system using PSO technique. International Journal of Engineering Research and Applications (IJERA), 3(4), 1480-1485.

[2]. Gaing, Z. L. (2004). A Particle Swarm Optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion, 19(2), 384- 391.

[3]. Kennedy, J. (2011). Particle Swarm Optimization. In Encyclopedia of Machine Learning, Springer US, 760-766.

[4]. Khodabakhshian, A., & N. Golbon, (2004). Unified PID design for load frequency control. Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on IEEE, 2.

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[7]. Kushwaha, K., & Denjare, R. K. (2016). Performance Analysis of Tuned PID Controller for Load Frequency Control using Optimization Technique. In International Journal of Scientific Development and Research (IJSDR), 1(6), 234- 241.

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[13]. Sambariya, D. K., & Prasad, R. (2016). Design of optimal proportional integral derivative based powersystem stabilizer using bat algorithm. Applied Computational Intelligence and Soft Computing, 5.

[14]. Shabib, G., Gayed, M. A., & Rashwan, A. M. (2010). Optimal tuning of PID controller for AVR system using the modified Particle Swarm Optimization. In 14 International Middle East Power Systems Conference (MEPCON'10).

[15]. Singh, M., Brahmin, K., & Neema, D. D. (2016). Performance analysis of improving stability using tuned PID and Hybrid controllers. In Electrical Power and Energy Systems (ICEPES), International Conference on IEEE, 83-87.

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i-manager's Journal on Circuits and Systems (JCIR)

Current Issue Vol. 12 Issue 1

Most Read

Most Cited

Volume 5 Issue 1 December - February 2017

Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor

Ahmed M.Hussien* , Mahmoud Abdallah Attia**

* Preventive Maintenance Engineer, HeeSung Electronics, Egypt. ** Faculty of Engineering, Department of Electrical Power and Machines, Ain Shams University, Cairo, Egypt.

Hussien, A. M., and Attia, M. A. (2017). Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor. i-manager’s Journal on Circuits and Systems, 5(1), 1-10. https://doi.org/10.26634/jcir.5.1.13542

Abstract

References

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Multi Converter Circuit for Battery Energy Storage Systems (BESS)

Ch. Venkateswara Rao* , S. S. Tulasi Ram**, B. Brahmaiah***

* Research Scholar, JNTUK, Kakinada, India. ** Professor, Department of Electrical and Electronics Engineering, JNTUH, Hyderabad, India. *** Principal, SVEC, Tadepalligudem, India.

Rao, Ch. V., Tulasiram, S. S., and Brahmaiah, B. (2017). Multi Converter Circuit for Battery Energy Storage Systems (BESS). i-manager’s Journal on Circuits and Systems, 5(1), 11-22. https://doi.org/10.26634/jcir.5.1.13543

Abstract

References

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Microgrid and its Adaptive Protection

Aakash Kumar Seth* , Kuldeep Sahay**

Seth, A. K., and Sahay, K. (2017). Microgrid and its Adaptive Protection. i-manager’s Journal on Circuits and Systems, 5(1), 23-29. https://doi.org/10.26634/jcir.5.1.13544

Abstract

References

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Modeling and Analysis of Distributed Power Flow Controller Damping Of Power System Oscillations in a Transmission System

Raja Reddy Duvvuru* , B. Venkata Prasanth**, V. Ganesh***

Duvvuru, R. R., Prasanth, B. V., and Ganesh, V. (2017). Modeling and Analysis of Distributed Power Flow Controller Damping Of Power System Oscillations in a Transmission System. i-manager’s Journal on Circuits and Systems, 5(1), 30-35. https://doi.org/10.26634/jcir.5.1.13545

Abstract

References

Full Article (HTML)

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Performance Analysis of Optimized Tuned Controllerfor Load Frequency Control

Mahesh Singh* , D.D. Neema**, R. N. Patel***

Singh, M., Neema, D. D., and Patel, R. N. (2017). Performance Analysis of Optimized Tuned Controller for Load Frequency Control. i-manager’s Journal on Circuits and Systems, 5(1), 36-43. https://doi.org/10.26634/jcir.5.1.13546

Abstract

References

Full Article (HTML)

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* Preventive Maintenance Engineer, HeeSung Electronics, Egypt.

** Faculty of Engineering, Department of Electrical Power and Machines, Ain Shams University, Cairo, Egypt.

Ch. Venkateswara Rao* , S. S. Tulasi Ram, B. Brahmaiah*

* Research Scholar, JNTUK, Kakinada, India.

Professor, Department of Electrical and Electronics Engineering, JNTUH, Hyderabad, India.

* Principal, SVEC, Tadepalligudem, India.

Raja Reddy Duvvuru* , B. Venkata Prasanth, V. Ganesh*

Mahesh Singh* , D.D. Neema, R. N. Patel*