i-manager Publications

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 11 Issue 3

Voltage Stability and Power Loss Minimization with STATCOM using Particle Swarm Optimization and Hybrid Firefly Particle Swarm Optimization Algorithms
Load Frequency Control of Multi Area Power System Network with Soft Computing Algorithm Based Controller and Coordinated Strategy of TCSC and Battery Energy Storage
Performance Analysis of Distribution System under Different Loading Conditions using Test Bench
Simulation of Solar PV with Different Control System of Boost Converter for Composite Climate
Enhancement of System Performance using PeSche Scheduling Algorithm on Multiprocessors

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Volume 5 Issue 4 November - January 2018

Research Paper

Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's Ffor Power System with UPFC at Different Load Conditions

Kourosh Davoodi* , Yathisha L, S. Patilkulkarni*

* Research Scholar, Department of Electronics and Communication, JSS Research Foundation, University of Mysore, Karnataka, India.

Associate Professor, Department of Electronics and Communication,ATME College of Engineering, Mysore, India.

* Professor, Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India.

Davoodi, K., Yathisha, L., and Patilkulkarni, S. (2018). Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's for Power System with UPFC at Different Load Conditions. i-manager’s Journal on Power Systems Engineering, 5(4), 1-14. https://doi.org/10.26634/jps.5.4.14156

Abstract

As a preliminary analysis, this paper presents the design of Bryson, Boudarel and Multistage-based Linear Quadratic Regulator (LQR) optimal controllers for the power system with Uniform Power Flow Controller (UPFC) at light, normal and heavy load conditions. For each load condition, the two best optimized feedback controllers are selected which is based on the preliminary analysis, and optimal switching strategy was implemented between two candidate controllers to optimize the output energy. The proposed solution is tested by using linearized Single Machine Infinite Bus (SMIB) Phillips-Heffron power system model installed with Uniform Power Flow Controller (UPFC). Simulation was done to verify the hypothesis using MATLAB/SIMULINK platform./p>

References

[1]. Ajami, A., & Asadzadeh, H. (2011). Damping of power system oscillations using UPFC based multipointtuning AIPSO-SA algorithm. Gazi University Journal of Science, 24(4), 791-804.

[2]. Al-Duwaish, H. N., & Al-Hamouz, Z. M. (2011). A neural network based adaptive sliding modecontroller: Application to a power system stabilizer. Energy Conversion and Management, 52(2), 1533-1538.

[3]. Alfi, A., & Khosravi, M. (2012, Jun). Optimal power system stabilizer design to reduce low frequency oscillationsvia an improved system optimization algorithm. International Journal on Technical and Physical Problems of Engineering, 4(2), 24-33.

[4]. Al-Olimat, K. S., Farhoud, A. M., & Hurtig, J. K. (2006, October). Power system stabilizers with fuzzy logic switching. In Power Systems Conference and Exposition, 2006. PSCE'06. 2006 IEEE PES (pp. 2152-2157). IEEE.

[5]. Aravena, J. L., & Devarakonda, L. (2006, July). Performancedriven switching control. In 2006 IEEE International Symposium on Industrial Electronics (Vol. 1, p. 31-36).

[6]. Athanasius, G. X., Pota, H. R., & Ugrinovskii, V. (2008). Robust Decentralized Switching Power System Stabilisers for Interconnected Power Grids: Stability using Dwell Time. IFAC Proceedings Volumes, 41(2), 8419-8424.

[7]. Baliarsingh, A. K., Panda, S., Mohanty, A. K., & Ardil, C. (2013). UPFC supplementary controller design using real coded genetic algorithm for damping low frequency oscillations in power systems. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 7(4), 465 - 475.

[8]. Boudarel, R., Delmas, J., & Guichet, P. (1971). Dynamic programming and its application to optimal control. Science Direct, 81, 3-252.

[9]. Bryson, A. E., & Ho, Y. C. (1975). Object-oriented specification and design with C++. Washington : Hemisphere Pub. Corp.

[10]. Devarakonda, L. S. (2005). Performance based switching control for single input LTI systems (Doctoral Dissertation). Louisiana State University.

[11]. 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.

[12]. Huang, Z. H., Xiang, C., Lin, H., & Lee, T. H. (2007). A necessary and sufficient condition for stability of arbitrarily switched second-order lti system: marginally stable case. nd In 2007 IEEE 22 International Symposium on Intelligent Control (p. 83-88). IEEE.

[13]. Pandey, R. K. (2010). Analysis and design of multistage LQR UPFC. In 2010 International Conference on Power, Control and Embedded Systems (p. 1-6). IEEE.

[14]. Ramesh, D., & MaheshBabu, L. (2012). A UPFC damping control scheme using lead-lag and ANN based adaptive controllers. International Journal on Computer Technology & Applications,3(5), 1677-1681.

[15]. Ray, S. K., Sarker, P. C., Ahsan, M. S., & Seddiqe, M. M. I. S. (2012). Novel approach of pid control scheme with UPFC for damping of oscillations. International Journal of Computer and Electrical Engineering,4(2), 104-109.

[16]. Santarelli, K. & Dahleh, M. A. (2009). L2 gain stability of switched output feedback controllers for a class of LTI systems. IEEE Transactions on Automatic Control, 54(7), 1504-1514.

[17]. Santarelli, K. R., & Dahleh, M. A. (2010). Optimal controller synthesis for a class of LTI systems via switched feedback. Systems and Control Letters, 59(3), 258 - 264.

[18]. Santarelli, K. R., & Dahleh, M. A. (2012). Comparison between a switching controller and two LTI controllers for a class of two LTI plants. International Journal of Robust and Nonlinear Control, 19(2), 185-217.

[19]. Saribulut, L., Tümay, M., & Eker, D. (2008). Performance analysis of fuzzy logic based unified power flow controller. World Academy of Science, Engineering and Technology, 35, 320-325.

[20]. Shayeghi, H., Shayanfar, H. A., Jalilzadeh, S., & Safari, A. (2009). Design of output feedback UPFC controller for damping of electro mechanical oscillations using PSO. Energy Conversion and Management, 50(10), 2554 - 2561.

[21]. Tambey, N., & Kothari, M. L. (2003). Unified Power Flow Controller (UPFC) based damping controllers for damping low frequency oscillations in a power system. IE(I) Journal-EL, 84, 35-41.

[22]. Wang, H. (2000). A unified model for the analysis offacts devices in damping power system oscillations.III. unified power flow controller. IEEE Transactions on Power Delivery, 15(3), 978-983.

[23]. Yathisha, L. (2015, May). Application and comparison of switching control algorithms for power system stabilizer. In 2015 International Conference on Industrial Instrumentation and Control (ICIC) (pp.1300- 1305). IEEE.

[24]. Yathisha, L., Davoodi, K., & Kulkarni, S. P. (2017, Jan). Optimal switching control strategy for UPFC for widerange of operating conditions in power system. In 2017 Indian Control Conference (ICC) (p. 225-232).

[25]. Yousef, A. M., & El-Sherbiny, M. K. (2004). Improvement of synchronizing and damping torque coefficients based LQR power system stabilizer. In Electrical, Electronic and Computer Engineering, 2004. ICEEC '04. 2004 International Conference on (p. 753- 758). IEEE.

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Research Paper

Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques

Y. Anil Kumar * , N. Prema Kumar **

* Research Scholar, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

** Professor, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Kumar, Y. A., and Kumar, N. P. (2018). Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques. i-manager’s Journal on Power Systems Engineering, 5(4), 15-23. https://doi.org/10.26634/jps.5.4.14157

Abstract

Growth in energy demand is more than the energy production due to various reasons like industrial growth, rapid urbanization, increasing affordability of electric gadgets, etc. The integration of existing grids with renewable energy sources provides economical, sustainable and efficient power distribution, and this allows to control the greenhouse effect. The reduction in power loss and voltage profile improves the distribution system, which can be done by using some techniques, such as feeder or network reconfiguration, VAR compensation with capacitor banks, and Distributed Generation (DG). DG is a localized small scale generation installed in the distribution network capable of injecting active power and providing limited reactive power support, reduced distribution losses, improved voltage profile in the system, hence, improving the quality of the power. The significant process is to improve the power quality of the system and this system is used to find the size of the DG unit and their suitable locations of the system. In this paper, IPSO and a new gradient free, meta-heuristic, population based algorithm called BAT Inspired Algorithm, are used to evaluate the optimal size and location of DG units. Distributed load flow is carried out for 33-bus and 69-bus systems to obtain power losses and voltage at each bus. Optimization techniques like IPSO and BAT algorithms are considered for the optimal placement and optimal sizing of Distributed Generators in radial distribution system by multi-objective optimization approach has been discussed. The practical application and efficiency of this method is determined by using two test systems (33 and 69-bus). The proposed methods are carried out using MATLAB.

References

[1]. Borges, C. L., & Falcao, D. M. (2006). Optimal distributed generation allocation for reliability, losses, and voltage improvement. International Journal of Electrical Power & Energy Systems, 28(6), 413-420.

[2]. Carpinelli, G., Celli, G., Mocci, S., Pilo, F., & Russo, A. (2005). Optimisation of embedded generation sizing and siting by using a double trade-off method. IEEE Proceedings-Generation, Transmission and Distribution, 152(4), 503-513.

[3]. Celli, G., Ghiani, E., Mocci, S., & Pilo, F. (2005). A multiobjective evolutionary algorithm for the sizing and siting of distributed generation. IEEE Transactions on Power Systems, 20(2), 750-757.

[4]. El-Khattam, W., Bhattacharya, K., Hegazy, Y., & Salama, M. M. A. (2004). Optimal investment planning for distributed generation in a competitive electricity market. IEEE Transactions on Power Systems, 19(3), 1674-1684.

[5]. Griffin, T., Tomsovic, K., Secrest, D., & Law, A. (2000, January). Placement of dispersed generation systems for reduced losses. In System Sciences, 2000. Proceedings of the 33 Annual Hawaii International Conference on (pp.1-9). IEEE.

[6]. Harrison, G. P., & Wallace, A. R. (2005). Optimal power flow evaluation of distribution network capacity for the connection of distributed generation. IEE Proceedings- Generation, Transmission and Distribution, 152(1), 115- 122.

[7]. Keane, A., & O'Malley, M. (2005). Optimal allocation of embedded generation on distribution networks. IEEE Transactions on Power Systems, 20(3), 1640-1646.

[8]. Kim, K. H., Lee, Y. J., Rhee, S. B., Lee, S. K., & You, S. K. (2002, July). Dispersed generator placement using fuzzy- GA in distribution systems. In Power Engineering Society Summer Meeting, 2002 IEEE (Vol. 3, pp. 1148-1153). IEEE.

[9]. Kim, J. O., Nam, S. W., Park, S. K., & Singh, C. (1998). Dispersed generation planning using improved Hereford ranch algorithm. Electric Power Systems Research, 47(1), 47-55.

[10]. Nara, K., Hayashi, Y., Ikeda, K., & Ashizawa, T. (2001). Application of Tabu search to optimal placement of Distributed Generators. In Power Engineering Society Winter Meeting, 2001. IEEE (Vol. 2, pp. 918-923). IEEE.

[11]. Rau, N. S., & Wan, Y. H. (1994). Optimum location of resources in distributed planning. IEEE Transactions on Power Systems, 9(4), 2014-2020.

[12]. Suresh, M. C. V., & Edward, J. B. (2006). Optimal Placement of Distributed Generation in Distribution Systems by using Shuffled Frog Leaping Algorithm. ARPN Journal of Engineering and Applied Sciences, 12(3), 863- 868.

[13]. Wang, C., & Nehrir, M. H. (2004). Analytical approaches for optimal placement of Distributed Generation sources in power systems. IEEE Transactions on Power Systems, 19(4), 2068-2076.

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Research Paper

Distribution System Reconfiguration using Mesh Elimination Technique

E. Mounica * , P. Ravi Babu **

* M.Tech Graduate, Department of Electrical Engineering, Jawaharlal Nehru Technological University Hyderabad, India.

** Professor & Head of the Department, Department of Electrical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India.

Mounica, E., and Babu, P. R. (2018). Distribution System Reconfiguration using Mesh Elimination Technique. i-manager’s Journal on Power Systems Engineering, 5(4), 24-33. https://doi.org/10.26634/jps.5.4.14158

Abstract

This work propounds a totally distinctive heuristic technique kenned as Mesh-Elimination (M-E) technique for reconfiguring an Electrical Distribution System. System reconfiguration can also be utilized as the multi objective implemented to tackle utterly different issues like loss diminution, load equalization, and amenity restoration in electrical power systems. This paper introduces some proficient algorithmic rules predicated upon M-E technique to unravel the issue of loss diminution for an electric power distribution system that is given. The M-E strategy is also an appealing heuristic technique in terms of computations, accustomed to ascertain optimum layout of a radial distribution system that is given. The projected algorithmic rules are encrypted in MATLAB. To establish the legitimacy of this algorithm, it has been experimented with traditional IEEE Sixteen, Thirty-three and Sixty-nine bus systems, and the obtained outcomes are habituated to corroborate the potential of the projected algorithmic rules to being applied to various other systems.

References

[1]. Babu, P. R., Kumar, K. A., & Teja, G. C. (2013). New Heuristic Search Approach to Enhance the Distribution System Load Balance. In Power, Energy and Control (ICPEC), 2013 International Conference on (pp. 159-164). IEEE.

[2]. Babu, P. R., Kumar, M. P. V. V. R., Hemachandra, V. S., & Vanamali, M. P. R. (2010a). A Novel Power Flow Solution Methodology for Radial Distribution Systems. In Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference on (pp. 507-512). IEEE.

[3]. Babu, P. R., Prapoorna, K., Prashanth, N., Shruti, A., Reddy, D. P., & Sreedivya, V. (2007). Multi objective Approach for Overloading and Service Restoration through Feeder Reconfiguration to minimize I 2 R losses. 7 WSEAS International Conference on Power Systems (pp. 236-241).

[4]. Babu, P. R., Vanamali, M. P. R., Kumar, M. P. V. V. R., & Hemachandra, V. S. (2010b). Network Reconfiguration in Distribution Systems Using LE Method. In India Conference (INDICON), 2010 Annual IEEE (pp. 1-4). IEEE.

[5]. Babu, P. R., Venkatesh, K., & Kumar, C. S. (2008). Implementation of Genetic Algorithm for Optimal Network Reconfiguration in Distribution Systems for Load Balancing. In Computational Technologies in Electrical and Electronics Engineering, 2008. SIBIRCON 2008. IEEE Region 8 International Conference on (pp. 124-128). IEEE.

[6]. Baran, M. E., & Wu, F. F. (1989). Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing. IEEE Transactions on Power Delivery, 4(2), 1401-1407.

[7]. Civanlar, S., Grainger, J. J., Yin, H., & Lee, S. S. H. (1988). Distribution Feeder Reconfiguration for Loss Reduction. IEEE Transactions on Power Delivery, 3(3), 1217-1223.

[8]. Gomes, F. V., Carneiro, S., Pereira, J. L. R., Vinagre, M. P., Garcia, P. A. N., & Araujo, L. R. (2005). A New Heuristic Reconfiguration Algorithm for Large Distribution Systems. IEEE Transactions on Power Systems, 20(3), 1373-1378.

[9]. Gomes, F. V., Carneiro, S., Pereira, J. L. R., Vinagre, M. P., Garcia, P. A. N., & De Araujo, L. R. (2006). A New Distribution System Reconfiguration Approach using Optimum Power Flow and Sensitivity Analysis for Loss Reduction. IEEE Transactions on Power Systems, 21(4), 1616-1623.

[10]. Goswami, S. K., & Basu, S. K. (1992). A New Algorithm for the Reconfiguration of Distribution Feeders for Loss Minimization. IEEE Transactions on Power Delivery, 7(3), 1484-1491.

[11]. Shirmohammadi, D., & Hong, H. W. (1989). Reconfiguration of Electric Distribution Networks for Resistive Line Losses Reduction. IEEE Transactions on Power Delivery, 4(2), 1492-1498.

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Research Paper

Evaluation of Available Transfer Capability using Power World Simulator

Manjula S. Sureban* , Shekhappa G. Ankaliki**

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

Sureban, M. S., and Ankaliki, G. S. (2018). Evaluation of Available Transfer Capability using Power World Simulator. i-manager’s Journal on Power Systems Engineering, 5(4), 34-39. https://doi.org/10.26634/jps.5.4.14159

Abstract

This paper presents the step by step procedure to evaluate Available Transfer Capability (ATC) of the interconnected transmission network using Power World Simulator. Fast and accurate determination of ATC is very important in real time. Various software packages have been developed to evaluate ATC of the given system. Also, there exist linear methods for ATC calculation, which are either based upon DC or AC Power Transfer Distribution Factors (PTDF). These are fast, but do not consider control changes such as generator reactive limits and voltage limits as the transfer limit increases. Another method to calculate ATC is Continuation Power Flow (CPF) method, which can produce accurate ATC values but requires repeated solution of power flow, and hence consumes more time. Also, there is a probabilistic approach to determine ATC, which is carried out by Monte Carlo Simulation. In this paper, PTDF method is explained to find ATC, which is implemented as Add Ons in Power World Simulator to compute ATC. The results are discussed for IEEE-14 bus system.

References

[1]. Bhaskar, M. A., & Jimoh, A. A. (2016). Available transfer capability calculation using PTDF and implementation of optimal power flow in power markets. In Renewable Energy Research and Applications (ICRERA), 2016 IEEE International Conference on (pp. 219-223). IEEE.

[2]. Computation of Availability Transmission Capability. Retrieved from http://docslide.net/documents/12- chapter-4.html

[3]. Ejebe, G. C., Tong, J., Waight, J. G., Frame, J. G., Wang, X., & Tinney, W. F. (1998). Available transfer capability calculations. IEEE Transactions on Power systems, 13(4), 1521-1527.

[4]. Force, T. T. C. T. (1996). Available transfer capability definitions and determination. North American Electric Reliability Council, Princeton, New Jersey.

[5]. Hojabri, M., & Hizam, H. (2011). Available Transfer Capability Calculation. In Applications of MATLAB in Science and Engineering. InTech. pp.143-164. Retrieved from www.intechopen.com

[6]. Kumar, A., & Kumar, M. (2013). Available transfer capability determination using power transfer distribution factors. International Journal of Information and Computation Technology, 3(11), 1035-1040.

[7]. Manjure, D. P., & Makram, E. B. (2003). Investigation of distribution factors for bilateral contract assessment. Electric Power Systems Research, 66(3), 205-214.

[8]. Patel, M. Y., & Girgis, A. A. (2011). New iterative method for available transfer capability calculation. In Power and Energy Society General Meeting, 2011 IEEE (pp. 1-6). IEEE.

[9]. Patra, K. K. (2015). Contingency Analysis in Power System using Load Flow Solution. International Journal of Computer Applications. 1-4.

[10]. Sureban, M. S., & Ankaliki, S. G. (2017). Computation of Available Transfer Capability in Electrical Transmission System-A Review. i-manager's Journal on Power Systems Engineering, 5(1), 35-39.

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Research Paper

Enhancement of Power Transfer Capability using TCSC

Shekhappa G. Ankaliki * , Priyanka R. Kinekar**

* PG Scholar, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

Kinekar, R. P., and Ankaliki, G. S. (2018). Enhancement of Power Transfer Capability using TCSC. i-manager’s Journal on Power Systems Engineering, 5(4), 40.47. https://doi.org/10.26634/jps.5.4.14160

Abstract

In present days, increasing power demand leads to operate the transmission networks at their maximum operating limits. To overcome the problem of power flow control in a power system network, Thyristor Controlled Series Compensator (TCSC) is included. TCSC is one of the series compensating Flexible Alternating Current Transmission System (FACTS) devices; it consists of a series compensating capacitor shunted by a Thyristor Controlled Reactor (TCR). The main objective of TCSC is to provide partial continuously variable impedance by cancelling the effective compensating capacitance. The aim of this work is to improve the real power flow in the transmission line under different loading conditions and also simulation is carried out for different levels of compensation. In this work, performance analysis of electrical network using MATLAB Simulink and IEEE five bus system is carried out using Mi-Power tool.

References

[1]. Chang, J., & Chow, J. H. (1997). Time-optimal series capacitor control for damping interarea modes in interconnected power systems. IEEE Transactions on Power Systems, 12(1), 215-221.

[2]. Chen, X. R., Pahalawaththa, N. C., Annakkage, U. D., & Kumble, C. S. (1995). Controlled series compensation for improving the stability of multi-machine power systems. IEE Proceedings-Generation, Transmission and Distribution, 142(4), 361-366.

[3]. Choudhary, S., Mubeen, S. E., & Jain, M. (2013). Evaluation of TCSC Power flow control Capability. International Knowledge Sharing Platform, 4(6), 44-49.

[4]. FACTS DEVICES User Manual MiPower

[5]. Kathal, P., & Bhandakkar, A. (2013). Power Flow Control in Power System using FACT Device Thyristor Controlled Series Capacitor (TCSC): A Review. International Journal of Innovative Research and Development, 2(4), 127-145.

[6]. Kumar, S. (2014). Implementation of TCSC on a Transmission Line Model to analyse the variation in Power Transfer Capability. International Journal of Research, 1(8), 1091-1098.

[7]. Lie, T. T., Shrestha, G. B., & Ghosh, A. (1995). Design and application of a fuzzy logic control scheme for transient stability enhancement in power systems. Electric Power Systems Research, 33(1), 17-23.

[8]. Padiyar, K. R. (2007). FACTS controllers in power transmission and distribution. New Delhi: New Age International Publishers.

[9]. Patel, V. J., & Bhatt, C. B. (2012). Simulation and analysis for real and reactive power control with series type facts controller. International Journal of Emerging Technology and Advanced Engineering, 2(3), 7-12.

[10]. Rath, S., Sahu, B. P., & Das, P. (2012). Power System Operation and Control Using FACTS Devices. International Journal of Engineering Research & Technology (IJERT), 1(5), 1-5.

[11]. Sekhar, A., & Devi, A. L. (2016). Performance Improvement of Transmission System Using TCSC With Firing Angle Control. Journal of Theoretical & Applied Information Technology, 91(1).

[12]. Shankar, C. U., Thottungal, R., & Priya, C. S. (2015, January). Enhancement of transient stability and dynamic power flow control using Thyristor Controlled Series Capacitor. In Intelligent Systems and Control (ISCO), 2015 IEEE 9 International Conference on (pp. 1-6). IEEE.

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 11 Issue 3

Most Read

Most Cited

Volume 5 Issue 4 November - January 2018

Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's Ffor Power System with UPFC at Different Load Conditions

Kourosh Davoodi* , Yathisha L**, S. Patilkulkarni***

Davoodi, K., Yathisha, L., and Patilkulkarni, S. (2018). Performance Analysis of Switching Between Bryson, Boudarel & Multistage LQR's for Power System with UPFC at Different Load Conditions. i-manager’s Journal on Power Systems Engineering, 5(4), 1-14. https://doi.org/10.26634/jps.5.4.14156

Abstract

References

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Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques

Y. Anil Kumar * , N. Prema Kumar **

* Research Scholar, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India. ** Professor, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

Kumar, Y. A., and Kumar, N. P. (2018). Optimal Allocation of Distribution Generation Units in Radial Distribution Systems using Nature Inspired Optimization Techniques. i-manager’s Journal on Power Systems Engineering, 5(4), 15-23. https://doi.org/10.26634/jps.5.4.14157

Abstract

References

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Distribution System Reconfiguration using Mesh Elimination Technique

E. Mounica * , P. Ravi Babu **

* M.Tech Graduate, Department of Electrical Engineering, Jawaharlal Nehru Technological University Hyderabad, India. ** Professor & Head of the Department, Department of Electrical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India.

Mounica, E., and Babu, P. R. (2018). Distribution System Reconfiguration using Mesh Elimination Technique. i-manager’s Journal on Power Systems Engineering, 5(4), 24-33. https://doi.org/10.26634/jps.5.4.14158

Abstract

References

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Evaluation of Available Transfer Capability using Power World Simulator

Manjula S. Sureban* , Shekhappa G. Ankaliki**

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India. ** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

Sureban, M. S., and Ankaliki, G. S. (2018). Evaluation of Available Transfer Capability using Power World Simulator. i-manager’s Journal on Power Systems Engineering, 5(4), 34-39. https://doi.org/10.26634/jps.5.4.14159

Abstract

References

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Enhancement of Power Transfer Capability using TCSC

Shekhappa G. Ankaliki * , Priyanka R. Kinekar**

* PG Scholar, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India. ** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

Kinekar, R. P., and Ankaliki, G. S. (2018). Enhancement of Power Transfer Capability using TCSC. i-manager’s Journal on Power Systems Engineering, 5(4), 40.47. https://doi.org/10.26634/jps.5.4.14160

Abstract

References

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Kourosh Davoodi* , Yathisha L, S. Patilkulkarni*

* Research Scholar, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

** Professor, Department of Electrical Engineering, Andhra University College of Engineering, Visakhapatnam, Andhra Pradesh, India.

* M.Tech Graduate, Department of Electrical Engineering, Jawaharlal Nehru Technological University Hyderabad, India.

** Professor & Head of the Department, Department of Electrical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India.

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering & Technology, Dharwad, India.

* PG Scholar, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.

** Professor & PG Coordinator, Department of Electrical and Electronics Engineering, SDMCET, Dharwad, Karnataka, India.