iosr-JEEE   Two day National Conference on "SMart grid And Renewable Technologies" ( SMART-2016)

Abstract: The Unified Power Flow Controller (UPFC) has the capability to control the shunt voltages and the line power flows. This type of device has to be installed in a proper location to get the maximum benefit from it. In this paper, Current Based Model (CBM) has been developed. Under Single Transmission Line outage (STLO), Line Outage Distribution Factor (LODF) was computed for identification of the location for installing UPFC. Standard 5 – bus system is considered for simulation purpose in MATLAB environment.
Keywords: unified power flow controller, current based model, single transmission line outage, line outage distribution factor

[1] M. Pereira and L. C. Zanetta, "A Current Based Model for Load Flow Studies With UPFC," IEEE Trans. Power Syst., vol. 12, no. 2, pp. 677–682, May 2013.
[2] J. Bian, D. G. Ramey, R. J. Nelson, and A. Edris, "A study of equipment sizes and constraints for a unified power flow controller (UPFC)," IEEE Trans. Power Del., vol. 12, no. 3, pp. 1385–1391, Jul. 1997.
[3] M. R. Iravani and A. Nabavi-Niaki, "Steady-state and dynamic models of unified power flow controller (UPFC) for power system studies," IEEE Trans. Power Syst., vol. 11, no. 4, pp. 1937–1943, Nov. 1996.
[4] L. Lábbate, M. Trovato, C. Becker, and H. Andschin, "Advanced steady state models of UPFC for power systems studies," in Proc. IEEE PES Summer Meeting, Chicago, IL, vol. 1, pp. 449–454, Jul. 2002..

Abstract: Electrical load forecasting plays an important role in the power systems. It helps in taking many decisions regarding energy purchasing and generation, maintenance, etc. This paper focuses on the significance of unsupervised learning and its application in the short term load forecasting. We propose self organizing feature map network to illustrate the use of unsupervised learning in load forecasting.
Keywords: Load forecasting, unsupervised learning, Self organizing feature map network.

[1]. A. G. Bakirtzis, V. Petridis, S. J. Kiartzis, M. C. Alexiadis, and A. H. Maissis, "A neural network short term load forecasting model for the Greek power system," IEEE Transactions on Power Systems, vol. 11, pp. 858-863, 1996.
[2]. Eugene A. Feinberg & Dora Genethlion, "Applied Mathematics For Power Systems: Optimization, Control and Computational Intelligence", Springer Science and Business media, New York, 2005.
[3]. A. Khotanzad, R. Afkhami-Rohani, L. Tsun-Liang, A. Abaye, M. Davis, and D. J. Maratukulam, "ANNSTLF-a neural-network-based electric load forecasting system", IEEE Transactions on Neural Networks, vol. 8, pp. 835-846, 1997.
[4]. A. Khotanzad, R. Afkhami-Rohani, and D. Maratukulam, "ANNSTLF Artificial Neural Network Short-Term Load Forecaster generation three", IEEE Transactions on Power Systems, vol. 13,issue.4, pp. 1413-1422, 1998.
[5]. K. Methaprayoon, W.J. Lee, S. Rasmiddatta, J. R. Liao, and R. J. Ross, "Multistage Artificial Neural Network Short-Term Load Forecasting Engine With Front-End Weather Forecast" ,IEEE Transactions on Industry Applications, vol. 43, pp. 1410-1416, 2007..

Abstract: Utilization of energy in a pertinent manner is the complex criteria for power system engineers. In this context, energy auditing is one of the primary tasks to be performed in the accomplishment of an effective energy control program. An energy audit consists of a detailed study of a facility that consumes energy, economic considerations for utilization of the energy, and finally a recommended program for changes in operating practices or energy consuming equipment that will cost-effectively save money on energy bills. Also it plays a prominent role in reducing green-house gas emissions that contribute to climate change that manages energy usage at peak load efficiency. Real life applications of energy audit, regarding lighting loads in the institutions are considered as case studies.
Keywords- Energy auditing, Lighting loads, Power factor, Save money, Utility bills

[1]. M. S. Sujatha, Dr. Vijay Kumar, Under frequency load shedding for energy management using ANFIS / case study, International Journal Of Electrical Engineering and Technology, volume 4, issue2, Mar-Apr 2013, 93-104.
[2]. Jian Zhang, Yuchen Zhang etc., How to reduce Energy Consumption by Energy Audits and Energy Management: The case of Province Jilin in China, IEEE, Technology Management in the Energy Smart World (PICMET), Jul-Aug, 2011, 1-5.
[3]. Tarun B Patel, Ketan D Panchal, An Effective implementation of Energy Audit Methodology-A Case Study, IJAIEM, volume 4, issue3, March 2015, 260-268.
[4]. Wayne C.Turner, Steve Doty, Energy Management Handbook (The Fairmont Press, 6th edition, 2007) 23-37.
[5]. Albert Thumann, William J. Younger, Handbook Of Energy Audits (The Fairmont Press, 7th edition, 2008) 161-198.

Abstract: TGeneration Management (GM) plays a vital role for the increased demand in the power system. GM has to be verified when a Distributed Generation (DG) is placed in the system. In this paper, Generation Sensitivity Factors (GSF) has been computed for the understanding of a rescheduled generator, DG placed generation. The largest value of sensitivity factor represents the highest sensitive case by which the GM can be for the fixed load. IEEE-14 bus system is considered to show the effectiveness of the proposed method. Mi- Power software is used for the simulation purpose.
Keywords - generation rescheduling, generation sensitivity factor, distribution generation, generation management, energy management system.

[1]. G. Yesuratnam, D. Thukaram , Congestion management in open access based on relative electrical distances using voltage stability criteria, Electric power systems research, 77, 2007, 1608-1618.
[2]. D. Thukaram, H. P. Khincha, B. Ravi Kumar, G. Yesuratnam, Generators Contribution towards Loads and Line Flows - A Case Study, Power India Conference, 2006.
[3]. S.N. Singh and A.K. David , Congestion Management by Optimizing FACTS Device Location, International Conference on Electric Utility Deregulation and Restructuring and Power Technologies 2000, London.
[4]. R. D. Christie, B. Wollenberg, and I. Wangensteen, Transmission management in the deregulated environment, Proc. IEEE, 88(2), 2000, 170–195.
[5]. F.D. Galina, M. Ilic, A mathematical framework for the analysis and management of power transactions under open access, IEEE Trans. Power System, 13 (2), 1998, 681–687.

Abstract: Harmonic filters play an important role in improving power quality. Increased use of nonlinear loads such as power electronic converters, drives, arc furnaces, induction motors injects harmonics into the power system. The disturbed power system due to harmonics will damage the sensitive loads, malfunctioning of relays, heating of the neutral conductor and so on. Harmonics filters are classified into active and passive type. Though active filters are very effective in eliminating harmonics but these are very expensive, design is complex and not useful in eliminating fixed harmonics. Passive filters are more suitable in eliminating fixed lower order harmonics as compared to active filters but these are limited to only constant loading conditions..........
Keywords: Active filters, Induction motor, Harmonics, Harmonic filters, Passive filters, Sensitive loads

[1] Dugan Roger C., McGranaghan Mark F., Santoso Surya, Wayne Beaty H., (2012), Electrical Power Systems Quality, Tata Mcgrw-hill 3rd edition.
[2] Yi-hong HE, Heng SU, (2013), A New Method of Designing Double Tuned Filter, Proceedings of the 2nd international conference on computer science and electronics engineering (ICCSEE).
[3] Yao Xiao, (1998), Algorithm for the Parameters of Double Tuned Filter, USA: IEEE. 1: 154-157.
[4] Cheepati KR., Ali Sardar, M.Surya Kalavathi,(2016), Performance Analysis of Double Tuned Passive Filter for Power Quality, International Journal of Control Theory and applications, Volume 9, no.7,July. ISSN: 0974-5572, pp.3295-3305.
[5] Akagi H., Kanazawa A., Nabae A., (1983), Generalized Theory of the Instantaneous Reactive Power in Three-Phase Circuits, IPEC'83 - Int. Power Electronics Conf., Tokyo, Japan, pp. 1375-1386.

Abstract: The internet of things is the internetworking of physical devices, vehicles, buildings and other items with network connectivity that enable these objects to collect and exchange data. It creates opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit. It finds numerous applications in the areas of smart grids, smart homes, intelligent transportation and smart cities. This paper presents a discussion on internet of things and its applications in smart cities. Emerging technology of IoT make smart cities efficient and responsive.
Keywords: Internet of Things, Network connectivity, Network Security, Smart Cities.

[1] Nomusa Dlodlo, Oscar Gcaba, Andrew Smith, "Internet of Things Technologies in Smart Cities", IST-Africa Conference Proceedings,2016, pp. 1-7. IEEE, 2016.
[2] Rakesh K. Deore, Vijay R. Sonawane, Pooja H. Satpute, "Internet of Thing Based Home Appliances Control", International Conference on Computational Intelligence and Communication Networks, 2015, pp. 898-902. IEEE, 2015.
[3] Shayan Nalbandian, "A Survey on Internet of Things: Applications and Challenges", Second International Congress on Technology, Communication and Knowledge, 2015, pp. 165-169. IEEE, 2015.
[4] Coetzee, Louis, and Johan Eksteen, "The Internet of Things Promise for the Future? An Introduction", In IST-Africa Conference Proceedings,2011,pp.1-9.IEEE,2011.
[5] Zanella, Andrea, Nicola Bui, Angelo Castellani, Lorenzo Vangelista, and Michele Zorzi. "Internet of Things for smart cities." Internet of Things Journal, IEEE 1, no. 1 (2014): 22-32.

Abstract: A new high-power STATCOM based on a modular multilevel converter (MMC) which is used to compensate an unbalanced and distorted medium-voltage load is proposed in this paper. The main goal of MMC based STATCOM is capable of reactive power compensation, harmonic cancellation, and simultaneous load balancing, while controlling and balancing all of the DC mean voltages even during the transient states. These are controlled by using a phase-shifted carrier modulation strategy for fast compensation of the reactive power and harmonics, and also for the balancing of the three-phase source side currents. Simulation results are obtained by proposed MMC based STATCOM for unbalance load and for different fault conditions.
Keywords: Modular multilevel converter (MMC), STATCOM, phase-shifted carrier modulation strategy, unbalance currents.

[1] A. Lesnicar and R. Marquardt, "An innovative modular multilevel converter topology suitable for a wide power range," in Power Tech Conference Proceedings, 2003 IEEE Bologna, 2003, p. 6 pp. Vol.3.
[2] R. Baker and L. Bannister. Electric power converter, Patent US 3867643, 1975.
[3] F.Z. Peng, J.-S. Lai, J.W. McKeever, and J. Van Coevering. A multilevel voltage source inverter with separate DC sources for static VAr generation. IEEE Transactions on Industry Applications, 32(5):pp. 1130–1138, Sep./Oct. 1996.
[4] Wikipedia. The free encyclopedia. Hvdc converter, jan 2015.
[5] JianzhongXu; Chengyong Zhao; Wenjing Liu; ChunyiGuo, "Accelerated Model of Modular Multilevel Converters in PSCAD/EMTDC," Power Delivery, IEEE Transactions on , vol.28, no.1, pp.129,136, Jan. 2013.

Abstract: In the distributed generation environment, existing standards impose limits on the allowable feeder voltage variation. These agreements must limit the power penetration level. If the penetration level increases it leads to increased or decreased feeder voltage and causes reverse current flow in the feeder. In order to mitigate this problem we need reactive power support to the feeder. By the use of conventional capacitor or inductor banks we cannot achieve full range of voltage control (voltage regulation............
Keywords: Photovoltaic power systems, power system, reactive power control, stability, voltage profile, voltage source converter.

[1] Rupesh.G. Wandhare, Vivek Agarwal, "Reactive power capacity enhancement of a PV-grid system to increase PV penetration level in smart grid scenario", IEEE Trans. Smart grid, vol. 5, no. 4, July 2014.
[2] A. Di-Fazio, G. Fusco, and M. Russo, "Decentralized control of distributed generation for voltage profile optimization in smart feeders," IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1586–1596, Sep. 2013.
[3] A. Rueda-Media and A. Padilha-Feltrin, "Distributed generators as providers of reactive power support-A market approach," IEEE Trans.Power Syst., vol. 28, no. 1, pp. 490–502, Feb. 2013.
[4] C. Chen, C. Lin, W. Hsieh, C. Hsu, and T. Ku, "Enhancement of PV penetration with DSTATCOM in Taipower distribution system," IEEETrans. Power Syst., vol. 28, no. 2, pp. 1560–1567, May 2013.
[5] H. Sugihara, K. Yokoyama, O. Saeki, K. Tsuji, and T. Funaki, "Economic and efficient voltage management using customer-owned energy storage systems in a distribution network with high penetration of photovoltaic systems," IEEE Trans. Power Syst., vol. 28, no. 1, pp. 102–111, Feb. 2013.