i-manager Publications

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

Current Issue Vol. 12 Issue 1

Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System

Most Cited

Volume 2 Issue 2 May - July 2014

Research Paper

Effect of Transient Surge on Electronic Instrument and system with different Suppressing Techniques

Alok Kumar Katiyar* , Sheikh Rafik Manihar Ahmed**

*-** Control Systems Engineer, Fluor Daniel India Pvt. Ltd., Gurgaon, New Delhi, India.

Katiyar, A. K., and Ahmed, S. R. M. (2014). Effect of Transient Surge on Electronic Instrument And System with Different Suppressing Techniques. i-manager’s Journal on Power Systems Engineering, 2(2), 1-8. https://doi.org/10.26634/jps.2.2.2927

Abstract

This paper explains the effect of impulse transient surge on Control and Monitoring Electronic Instrument (CMEI) System with different suppressing technique, which has been installed in the areas where lightning and thunderstorm, occurs more frequently and under particular meteorological conditions. This Surge Protection Equipment (SPE) should be tested and replaced periodically. Lightning is nothing but a dispersion of an electrical charge between two different charge regions within the cloud flash or between a negatively charged region and ground flash. This earth flash can create problems in Control and Monitoring Electronic Instrument (CMEI) System. Suppressing technique is used not only to protect the physical hardware of electronic instrument, But also to ensure continued process control and measurement. Most process control, indication, monitoring and measuring electronic instrument ordinations are interconnected by signal and power cables, which run in ducting, on cable trays or buried under the ground [5]. Direct Lightning discharge, Electrostatic or Electromagnetic Induction Surge, and Lightning Surge caused by Ground Potential Rise (GPR) generates impulse transient voltage that propagates through the plant electrical power distribution via power cables [1], which couples with data flow signal cables and gets transmitted to electronic instrument. Impulse Transient Voltage (surge or Spikes) are sudden changes in current or voltage that occurs over a short period of time, which can damage the field transmitters, controlling and monitoring devices located in remote locations, or Computer terminals containing low-power semiconductor electronic devices due to over voltage as a result of rise in ground potential. Long distance installed Instruments like controlling or monitoring devices located in remote locations suffer from High impulse transient voltage and consequently component failure while short distance field mounted instruments (such as field transmitter) suffers significant damage.

References

[1]. R. A. Kisner, J. B. Wilgen, P. D. Ewing, K. Korsah, and M. R. Moore (2004), “A Technical Basis for Guidance on Lightning Protection for Nuclear Power Plants”, 4th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control and Human- Machine Interface Technologies (NPIC & HMIT 2004), Columbus, Ohio, Vol. 4, pp. 1-10, September.

[2]. L. C. Towle (1996), “Shunt-Diode Safety Barriers and Galvanic Isolators- A Critical Comparisons”, MTL Instrument Group Plc, June.

[3]. Keith Brashear, “Lightning and Surge Protection of Modern Electronic Systems”, ILD Technologies, LLC, San Antonio.

[4]. Gunther Rogoll and Ren Kitchener (2012), “Advance Diagnostic Field Bus Surge Protection”, Pepperl Fuchs Gmbh, German, pp. 1-9.

[5]. Anthony Moulds and Anthony M Watson (1998), “Lightning Protection for Dam Instrumentation- A Case Study of the New Victoria Dam”, ANCOLD/NZCOLD Conference on Dams in Sydney, Australia.

[6]. Nishinari-ku, Osaka Lightning & Surge Protection, MSystems Co. Ltd, Document No. EM-8100 Rev. 1, Japan.

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Research Paper

Transmission Expansion Planning Using Bacterial Foraging Optimization Algorithm (BFOA)

G. Srinivasulu* , B. Subramanyam, Surya Kalavathi M*

* Associate Professor, EEE Department, Narayana Engineering College, Nellore, AndraPradesh, India.

Professor, EEE Department, PBR Visvodaya Institute of Technology and Science, Kavali, AndraPradesh, India.

* Professor, EEE Department, Jawaharlal Nehru Technological University, Kavali, AndraPradesh, India.

Srinivasulu, G., Subramanyam, B., and Kalavathi, M. S., (2014). Transmission Expansion Planning Using Bacterial Foraging Optimization Algorithm (BFOA). i-manager’s Journal on Power Systems Engineering, 2(2), 9-15. https://doi.org/10.26634/jps.2.2.2928

Abstract

Power Infra structure plays a vital role in the economic and social development of a country. Economic growth in India has spurred the need for more power and hence the infrastructure to transport the power. Adequate transmission capacity is very essential in any long-term planning for improving the availability and supply of power. So Transmission Expansion Planning is integral to the development of a stable and reliable power infrastructure. Planning for transmission lines in to the future is a very complex task which needs a coordinated and analytical analysis of various scenarios and contingencies. In this work we have implemented a scheme for Transmission Expansion Planning (TEP) which factors load growth and considers N-1 contingency. The optimization of the expansion plan is done with the help of Back Ward Search (BS), Forward Search (FS), Hybrid Search (HS) and Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFOA). The expansion plan is suggested for a 6 Bus-Roy Billinton Test System (RBTS). The plans suggested by different optimization algorithms are compared in terms of number of new lines, length of new lines and the total cost of expansion.

References

[1]. Gerardo Latorre, Ruben Dario Cruz (2003). “Classification of publications and models on Transmission Expansion Planning”, IEEE Transactions on Power Systems, Vol. 18, No. 2, May.

[2]. G. Srinivasulu, Dr B. Subramnyam and Dr M Surya Kalavathi (2013). “Hybrid Search Technique for Transmission Expansion Planning”. IJAER, Vol.8, No. 5, July, pp. 621-638.

[3]. A Text Book by Hosseein Siefi and Mohammad Sadegh Sepasian (2011). “Electric Power System Planning”, Springer-Verlag Berlin Heidelberg.

[4]. G. Srinivasulu and Dr B. Subramanyam (2012). “A comprehensive Transmission Expansion Planning Strategy for Developing Countries”, IJERD, Vol. 2, Issue 11, August, pp.7-13.

[5]. Swagatam Das, Arijiit Biswas, Sambarta Dasgupta, Ajith Abraham (2009). “Bacterial Foraging Optimization Algorithm: Theoretical Foundation, Analysis and Application”, Foundation of Computational Intelligence, Volume 203, pp23-55.

[6]. R. Billinton, S. Kumar, N. Chowdhury, K. Chu, K. Debnath, L. Goel, E. Khan, P. Kos, G. Nourbakhsh, J. Oteng-Adjei (1989). “A Reliability Test Systen For Educational Purposes - Basic Data”, IEEE Transactions on Power Systems, Vol. 4, No. 3, August .

[7]. http://www.pserc.cornell.edu/matpower/

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Research Paper

Analysis of Radial Distribution Systems FOR Voltage Profile Improvement and Voltage Stability with and without Distributed Generators at Optimal Locations

K.Mercy Rosalina* , Prema Kumar Navuri **

* PhD Scholar, Department of Electrical Engineering, Andhra University, Andhra Pradesh, India.

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

Rosalina, K. M., and Kumar, N. P. (2014). Analysis Of Radial Distribution Systems For Voltage Profile Improvement And Voltage Stability With and Without Distributed Generators At Optimal Locations. i-manager’s Journal on Power Systems Engineering, 2(2), 16-23. https://doi.org/10.26634/jps.2.2.2929

Abstract

The distribution systems were normally passive and it is designed to operate with unidirectional power flow. With integration of DG, the distribution system becomes an active system and bidirectional power flows should now be incorporated in the network design and its operation criteria. Studies on impact of DG on power flow, line loss, voltage profile and voltage stability requires suitable tools. The main aim of this paper is to determine the optimal placement of distributed generators so that net power saving are maximized and hence improvement in the voltage profile is achieved and hence the voltage stability is improved. A sample case study has been presented on practical agricultural radial distribution system to know the impact and system support benefits of distributed generators with the help of methods developed in the earlier using MATLAB software.

References

[1]. S K Injeti, N P Kumar (2012). 'Planning and operation of active radial distribution networks for improved voltage stability and loss reduction', World Journal of Modeling and Simulation, Vol.8, No.3,pp. 211-222.

[2]. E G Carrano, R H C Takahashi, L A E Soares, R R Saldanna and O M. Neto (2006). “Electric Distribution Network Multi objective Design using a Problem-Specific Genetic Algorithm”, IEEE Transactions on Power Delivery, Vol.21, No.2.

[3]. M H Nehrir and C Wang (2004). “Analytical Approaches for Optimal Placement of Distributed Generation sources in Power Systems”, IEEE Transactions on Power Systems, Vol.19, No.4, 2004.

[4]. D Singh, et.al (2009). “Multi-objective Optimization for DG Planning With Load Models,” IEEE Transactions on Power Systems, Vol.24, No.1, pp. 427-436.

[5]. Acharya N, et.al (2006). “An analytical approach for DG allocation in primary distribution network,” Int. J. of Elect. Power and Ener. Syste. Vol.28, pp. 669–678.

[6]. Hedayati H, et.al (2008). “A Method for Placement of DG Units in Distribution Networks,” IEEE Tran. on Power Deli., Vol.23, No.3, pp. 1620-1628.

[7]. M Chakravorthy, D Das (2001). “Voltage stability analysis of radial distribution networks”, Int. J. of Elec. Power Ener. Syst., Vol.23, pp. 129–35.

[8]. Teng J H (2003). “A direct approach for distribution system load flow solutions”, IEEE Transactions on Power Deli., Vol.18, pp. 882-887.

[9]. Zhang D, et.al (2007). “An improved TS algorithm for loss minimum reconfiguration in large-scale distribution systems”, Elect Power Syst Rese, Vol.77, pp. 685–94.

[10]. Padma L M, et.al (2011). “DG Source Allocation by Fuzzy and Clonal Selection Algorithm for Minimum Loss in Distribution System”, Distributed Generation & Alternative Energy Journal, Vol.26, pp. 17-35.

[11]. Moradi M H, et.al (2012). “A combination of genetic and particle swam optimization for optimal DG location and sizing in distribution system”, Int. J. of Elec. Power Ener. Syst., Vol.34, pp. 66–74.

[12]. M Ramalingaraju, et.al (2012). “Direct search algorithm for capacitive compensation in radial distribution systems”, Int. J. of Elec. Power Ener. Syst., Vol.42, pp. 24-30.

[13]. Lee S H and Park J W (2009). “Selection of Optimal Location and Size of Multiple Distributed Generations by Using Kalman Filter Algorithm,” IEEE Tran. on Power Syst., Vol.24, No.3.

[14]. C Wang, M H Nehrir (2004). “Analytical approaches for optimal placement of distributed generation sources in power systems”, IEEE Transactions on Power Systems, Vol.19, No.4, pp. 2068–2076.

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Research Paper

Steady State Analysis of IEEE-6 Bus Power System Using Power World Simulator

Shekhappa G. Ankaliki * , Shashikumar R, Nagarathna. M. C*, Priyanka Biradar****

* Professor, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India.

,*,**** PG Scholars, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India.

Ankaliki, G. S., Shashikumar, R., Nagarathna, M. C., and Biradar, P. (2014). Steady State Analysis of IEEE-6 Bus Power System Using Power World Simulator. i-manager’s Journal on Power Systems Engineering, 2(2), 24-27. https://doi.org/10.26634/jps.2.2.2930

Abstract

This paper presents the steady state analysis of power system using Power World Simulator. Analysis gives information about system voltage, power flows and losses in the system at different loading conditions. Analysis will recommend suggestion for stable operation of the system. The analysis is demonstrated by considering a case study of IEEE 6 bus power system. The performance analysis of the change in voltage and reactive power at the load side and generator side is done using the Power World Simulator software package (Version 16GSO). The outcome of this work helps in steady state monitoring, expansion of existing power system and design of new power system

References

[1]. B. Stott, O. Alsac, and A. J. Monticelli (1987), “Security Analysis and Optimization” IEEE Proceedings.75, December , PP. 1623-1644.

[2]. A. J. Wood, and B. F. Wollenberg (1984), “Power Generation, Operation and Control” New York, Wiley.

[3]. S. N. Singh and S. C. Srinivas (1997), “Improved Voltage and Reactive Power Distribution Factor for Outage Studies” IEEE Transaction on Power Systems, Vol.12, No.3, August, PP1085-1093.

[4]. T. S. Dillon (1991), “Artificial Neural Network Applications to Power Systems and their Relationship to Symbolic Methods” Electric Power and Energy Systems, Vol.13, No.2, April , PP.66-72.

[5]. P. K. Karla, S. C. Srivastava and S. K. Joshi (1992), “Synergism of Expert System and Artificial Net for Power System Applications” in Proceedings of Fifteenth National System Conference, Roorkee (India), March.

[6]. V. S. Vankayala and N. D. Rao (1993), “Artificial Neural Networks and their Applications to Power Systems-a Bibliographical Survey” Electric Power System Research, Vol. 28, PP 67-79.

[7]. L. Srivastava, S.N. Singh and J. Sharma (1997), “ANN Applications in Power Systems; an Overview and Key Issues” Proceedings of the International Conference on Computer Applications in Electrical Engineering, Recent Advances (CERA 97), U.O.R., Roorkee (India), PP 397-403.

[8]. D. J. Sobajic and Y. H. Pao (1989), “Artificial Neural Network Based Dynamic Security Assessment for Electric Power Systems” IEEE Transaction on Power Systems, Vol. PWRS-4, PP 220-228.

[9]. Y. Y. Hsu, and C. C. Yang (1993), “Fast Voltage Estimation Using an Artificial Neural Network” Electric Power System Research, Vol. 27, PP 1-9.

[10]. S. Ghosh and B. H. Chowdhury (1996), “Design of an Artificial Neural Network for Fast Line Flow Contingency Ranking” Electrical Power & Energy Systems, Vol. 18, No.5, PP 271-277.

[11]. A guide on Steady State Power System Security Analysis with Power World Simulator.

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Research Paper

Load Frequency Control of Multi Area Inter Connected Power System by Conventional and AI Based Controllers

Ch. Durga Prasad*

*Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram.

Chinta, D. P. (2014). Load Frequency Control Of Multi Area Inter Connected Power System By Conventional And AI Based Controllers. i-manager’s Journal on Power Systems Engineering, 2(2), 28-34. https://doi.org/10.26634/jps.2.2.2931

Abstract

The main objective of load frequency control (LFC) is to minimize the deviations in frequency and tie line power due to different load disturbances. This paper presents load frequency control of multi area interconnected power system with three single area systems using conventional controllers and artificial intelligence(AI) based techniques – Fuzzy and Artificial Neural Networks. The advantage of AI based controllers is that it can handle the non linear ties and at the same time it is faster than other controllers. Studies are carried out with Fuzzy and Fuzzy PID and compared with conventional controllers and finally concluded that AI based controllers gives better performance. The techniques are implemented in MATLAB/SIMULINK.

References

[1]. Hadi Saadat (2002), “Power system Analysis” Tata McGraw- Hill Edition.

[2]. Kundur P, “Power system stability and control”, (McGraw-Hill), New York,

[3]. Kallol Das, Priyanath Das, Sharmistha Sharma (2012), “Load frequency control using classical controller in an isolated single area and two area reheat thermal power system”, IJETAE.

[4]. Nilay. N. Shah, Aditya. D. Chafekar, Dwij.N.Mehta, Anant.R.Suthar “Automatic Load Frequency Control of Two Area Power System with Conventional and Fuzzy Logic Control”, IJRET, 2011.

[5]. J. Faiz, G. Shahgholian, M. Arezoomand (2007), “Analysis and simulation of the AVR system and parameters variation effects”, IEEE/POWRENG 450-453, April.

[6]. K. Sabahi, M.A. Nekoui, M. Teshnehlab, M. Aliyari and M. Mansouri (2007), “Load Frequency Control in Interconnected Power System Using Modified Dynamic Neural Networks”, 15th Mediterranean Conference on Control and Automation.

[7]. D. Rerkpreedapong, A. Feliachi (2002), “Decentralized load frequency Control for load following services”, IEEE, pp.1252-1257.

[8]. M. Aldeen, R. Sharma (2007), “Robust detection of faults in frequency control loops”, IEEE Trans. on Power Syst., Vol.22, No.1, pp.413-420, February.

[9]. L.M. Ramos, A.M. Marcolini, M.T.F. Rivera (2006), "Load and frequency control in completive power systems", IEEE/MELECON, pp.935938, May.

[10]. I.J Nagarath and M. Gopal, Control systems Engineering, 5th ed. New Age International Publishers.

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

Current Issue Vol. 12 Issue 1

Most Read

Most Cited

Volume 2 Issue 2 May - July 2014

Effect of Transient Surge on Electronic Instrument and system with different Suppressing Techniques

Alok Kumar Katiyar* , Sheikh Rafik Manihar Ahmed**

*-** Control Systems Engineer, Fluor Daniel India Pvt. Ltd., Gurgaon, New Delhi, India.

Katiyar, A. K., and Ahmed, S. R. M. (2014). Effect of Transient Surge on Electronic Instrument And System with Different Suppressing Techniques. i-manager’s Journal on Power Systems Engineering, 2(2), 1-8. https://doi.org/10.26634/jps.2.2.2927

Abstract

References

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Transmission Expansion Planning Using Bacterial Foraging Optimization Algorithm (BFOA)

G. Srinivasulu* , B. Subramanyam**, Surya Kalavathi M***

Srinivasulu, G., Subramanyam, B., and Kalavathi, M. S., (2014). Transmission Expansion Planning Using Bacterial Foraging Optimization Algorithm (BFOA). i-manager’s Journal on Power Systems Engineering, 2(2), 9-15. https://doi.org/10.26634/jps.2.2.2928

Abstract

References

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Analysis of Radial Distribution Systems FOR Voltage Profile Improvement and Voltage Stability with and without Distributed Generators at Optimal Locations

K.Mercy Rosalina* , Prema Kumar Navuri **

* PhD Scholar, Department of Electrical Engineering, Andhra University, Andhra Pradesh, India. ** Associate Professor, Department of Electrical Engineering, Andhra University, Andhra Pradesh, India.

Abstract

References

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Steady State Analysis of IEEE-6 Bus Power System Using Power World Simulator

Shekhappa G. Ankaliki * , Shashikumar R**, Nagarathna. M. C***, Priyanka Biradar****

* Professor, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India. **,***,**** PG Scholars, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India.

Ankaliki, G. S., Shashikumar, R., Nagarathna, M. C., and Biradar, P. (2014). Steady State Analysis of IEEE-6 Bus Power System Using Power World Simulator. i-manager’s Journal on Power Systems Engineering, 2(2), 24-27. https://doi.org/10.26634/jps.2.2.2930

Abstract

References

Full Article (HTML)

Pdf

Load Frequency Control of Multi Area Inter Connected Power System by Conventional and AI Based Controllers

Ch. Durga Prasad*

*Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram.

Chinta, D. P. (2014). Load Frequency Control Of Multi Area Inter Connected Power System By Conventional And AI Based Controllers. i-manager’s Journal on Power Systems Engineering, 2(2), 28-34. https://doi.org/10.26634/jps.2.2.2931

Abstract

References

Full Article (HTML)

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G. Srinivasulu* , B. Subramanyam, Surya Kalavathi M*

* PhD Scholar, Department of Electrical Engineering, Andhra University, Andhra Pradesh, India.

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

Shekhappa G. Ankaliki * , Shashikumar R, Nagarathna. M. C*, Priyanka Biradar****

* Professor, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India.

,*,**** PG Scholars, Electrical & Electronics Engineering Department, SDMCET, Dharwad, Karnataka, India.