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Articles

Optimal Localization and Sizing of UPFC to Solve the Reactive Power Dispatch Problem Under Unbalanced Conditions

References

  • S. M. Mohseni-Bonab and A. Rabiee, “Optimal reactive power dispatch: A review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation,” IET Gener. Transm. Dis., Vol. 11, no. 4, pp. 815–29, 2017. doi:doi: 10.1049/iet-gtd.2016.1545
  • S. M. Mohseni-Bonab, A. Rabiee, and B. Mohammadi-Ivatloo, “Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach,” Renew. Energ., Vol. 85, pp. 598–609, 2016. doi: 10.1016/j.renene.2015.07.021
  • R. Srinivasa Rao and V. Srinivasa Rao, “A generalized approach for determination of optimal location and performance analysis of FACTS devices,” Int. J. Electr. Pow. Energy Syst., Vol. 73, pp. 711–24, 2015. doi:doi: 10.1016/j.ijepes.2015.06.004
  • K. S. Verma, S. N. Singh, and H. O. Gupta, “Location of unified power flow controller for congestion management,” Electr. Pow. Sys. Res., Vol. 58, no.2, pp. 89–96, 2001 doi:doi: 10.1016/S0378-7796(01)00123-7
  • L. Gyugyi, “A unified power flow control concept for flexible AC transmission systems,” Biofuel Res. J., Vol. 139, no. 4, pp. 323–31, 1992.
  • S. Dutta, P. K. Roy, and D. Nandi, “Optimal location of STATCOM using chemical reaction optimization for reactive power dispatch problem,” Ain Shams Eng. J., Vol. 7, no. 1, pp. 233–47, 2016. doi:doi: 10.1016/j.asej.2015.04.013
  • B. Bhattacharyya and S. Kumar, “Loadability enhancement with FACTS devices using gravitational search algorithm,” Int. J. Electr. Pow. Energy Syst., Vol. 78, pp. 470–9, 2016. doi:doi: 10.1016/j.ijepes.2015.11.114
  • K. Sen Kalyan and E. J. Stacey, “UPFC-unified power flow controller: Theory, modeling and applications,” IEEE Trans. Pow. Deliv., Vol. 13, pp. 1453–60, 1998.
  • H. Sawhney and B. Jeyasurya, “Application of unified power flow controller for available transfer capability enhancement,” Electr. Pow. Sys. Res., Vol. 69, no. 2, pp. 155–60, 2004 . doi:doi: 10.1016/j.epsr.2003.07.012
  • A. M. Vural and M. Tümay, “Mathematical modeling and analysis of a unified power flow controller: A comparison of two approaches in power flow studies and effects of UPFC location,” Int. J. Electr. Pow. Energy Syst., Vol. 29, pp. 617–29, 2007. doi:doi: 10.1016/j.ijepes.2006.09.005
  • S. Alamelu, S. Baskar, C. K. Babulal, and S. Jeyadevi, “Optimal siting and sizing of UPFC using evolutionary,” Int. J. Electr. Pow. Energy Syst., Vol. 69, pp. 222–31, 2015. doi:doi: 10.1016/j.ijepes.2014.12.081
  • H. I. Shaheen, G. I. Rashed, and S. J. Cheng, “Application of differential evolution algorithm for optimal location and parameters setting of UPFC considering power system security,” Int. J. Electr. Pow. Energy Syst., Vol. 19, no. 7, pp. 911–32, Oct. 2009.
  • H. Chao-Ming, C. Shin-Ju, H. Yann-Chang, and Y. Sung-Pei. “Optimal active-Reactive power dispatch using an enhanced differential evolution algorithm,” in 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), June 2011, pp. 1869–74.
  • H. I. Shaheen, G. I. Rashed, and S. J. Cheng, “Optimal location and parameter setting of UPFC for enhancing power system security based on differential evolution algorithm,” Int. J. Electr. Pow. Energy Syst., Vol. 33, pp. 94–105, 2011. doi:doi: 10.1016/j.ijepes.2010.06.023
  • A. H. Gandomi and A. H. Alavi, “Krill Herd: A new bio-inspired optimization algorithm,” Commun. Nonlinear Sci. Numerical Simulation, Vol. 17, no. 12, pp. 4831–45, 2012. doi:doi: 10.1016/j.cnsns.2012.05.010
  • S. Dutta, P. Mukhopadhyay, P. K. Roy, and D. Nandi, “Unified power flow controller based reactive power dispatch using oppositional Krill Herd algorithm,” Int. J. Electr. Pow. Energy Syst., Vol. 80, pp. 10–25, 2016. doi:doi: 10.1016/j.ijepes.2016.01.032
  • S. Jeyadevi, S. Baskar, C. K. Babulal, and M. Willjuice Iruthayarajan, “Solving multiobjective optimal reactive power dispatch using modified NSGA-II,” Int. J. Electr. Pow. Energy Syst., Vol. 33, pp. 219–28, 2011. doi: 10.1016/j.ijepes.2010.08.017
  • Y. Xiao, Y. H. Song, and Y. Z. Sun, “Power flow control approach to power systems with embedded FACTS devices,” IEEE Trans. Pow. Syst., Vol. 17, no. 14, pp. 943–50, 2002. doi:doi: 10.1109/TPWRS.2002.804919
  • P. K. Roy, S. P. Ghoshal, and S. S. Thakur, “Optimal reactive power dispatch considering FACTS devices using biogeography based optimization,” Electr. Pow. Comp. Sys., Vol. 39, no. 8, pp. 733–50, 2011. doi: 10.1080/15325008.2010.541410
  • B. Zhao, C. X. Guo, and Y. J. Cao, “A multiagent-based particle swarm optimization approach for optimal reactive power dispatch,” IEEE Trans. Pow. Sys., Vol. 20, no. 2, pp. 1070–8, 2005. doi:doi: 10.1109/TPWRS.2005.846064
  • Y. Mohamed Shuaib, M. Surya Kalavathi, and C. Christober Asir Rajan, “Optimal reconfiguration in radial distribution system using gravitational search algorithm,” Electr. Pow. Comp. Sys., Vol. 42, no. 7, pp. 703–15, 2014. doi: 10.1080/15325008.2014.890971
  • B. A. Robbins and A. D. Domínguez-García, “Optimal reactive power dispatch for voltage regulation in unbalanced distribution systems,” IEEE Trans. Power Syst., Vol. 31, no. 4, pp. 2903–13, 2016 doi: 10.1109/TPWRS.2015.2451519
  • B. S. Sunil Kumar, A. S. Manjunath, and S. Christopher, “Improved entropy encoding for high efficient video coding standard,” Alexandria Eng. J., Vol. 57, no. 1, pp. 1–9, Mar. 2018. doi:doi: 10.1016/j.aej.2016.09.003
  • P. N. Kota and A. N. Gaikwad, “Optimized scrambling sequence to reduce PAPR in space frequency block codes based MIMO-OFDM system,” J. Adv. Res. Dyn. Control Syst., pp. 502–25, 2017.
  • K. Bhatnagar and S. Gupta, “Extending the neural model to study the impact of effective area of optical fiber on laser intensity,” Int. J. Intell. Eng. Syst., Vol. 10, no. 4, pp. 274–83, 2017. doi:doi: 10.22266/ijies2017.0831.29
  • G. N. Balaji, T. S. Subashini, N. Chidambaram, “Detection of heart muscle damage from automated analysis of echocardiogram video,” IETE J. Res., Vol. 61, no. 3, pp. 236–43. doi:doi: 10.1080/03772063.2015.1009403
  • S. S. Bramhe, A. Dalal, D. Tajne, and D. Marotkar, “Glass shaped antenna with defected ground structure for cognitive radio application,” in International Conference on Computing Communication Control and Automation, Pune, 2015, pp. 330–3.
  • K. S. S. R. Yarrapragada and B. B. Krishna, “Impact of tamanu oil-diesel blend on combustion, performance and emissions of diesel engine and its prediction methodology,” J. Braz. Soc. Mech. Sci. Eng., pp. 1–15.
  • N. P. N. Sreedharan, B. Ganesan, R. Raveendran, P. Sarala, B. Dennis, and R. Boothalingam R. “Grey Wolf optimisation-based feature selection and classification for facial emotion recognition,” IET Biom., 2018.
  • A. Sarkar and T. Senthil Murugan, “Cluster head selection for energy efficient and delay-less routing in wireless sensor network,” Wirel. Netw., pp. 1–18, 2017.
  • A.M. Wagh and S.R. Todmal, “Eyelids, eyelashes detection algorithm and Hough transform method for noise removal in iris recognition,” Int. J. Comput. Appl., Vol. 112, no. 3, 2015.
  • M. Iyapparaja and M. Tiwari, “Security policy speculation of user uploaded images on content sharing sites,” IOP Conf. Ser. Mat. Sci. Eng., Vol. 263, no. 4, p. 042019, 2017. doi:doi: 10.1088/1757-899X/263/4/042019
  • L. Srivastava and H. Singh, “Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch,” IET Gener. Transm. Dis., Vol. 9, no. 8, pp. 727–39, 2015. doi:doi: 10.1049/iet-gtd.2014.0469
  • C. Yammani, S. Maheswarapu, and S. K. Matam, “Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement,” Int. Trans. Electr. Energy Syst., Vol. 26, no. 2, pp. 274–92, 2016 doi:doi: 10.1002/etep.2076
  • L. Gan and S. H. Low, “Convex relaxations and linear approximation for optimal power flow in multiphase radial networks,” Arxiv: 1406. p. 3054, Jun. 2014.
  • E. Dall'Anese, H. Zhu, and G. Giannakis, “Distributed optimal power flow for smart microgrids,” IEEE Trans. Smart Grid, Vol. 4, no. 3, pp. 1464–75, Sep. 2013. doi:doi: 10.1109/TSG.2013.2248175
  • Transmission Transfer Capability Task Force, Available transfer capability Definitions and determination, North American Electric Reliability Council, NJ; Jun. 1996.
  • V. Ajarapu and C. Christie, “The continuation power flow: A practical tool for tracing power system steady state stationary behavior due to the load and generation variations,” IEEE Trans. Power Sys., Vol. 7, no. 1, pp. 416–23, 1992. doi:doi: 10.1109/59.141737
  • M. Rashidinejad, H. Farahmand, M. Fotuhi-Firuzabad, and A. A. Gharaveisi, “ATC enhancement using TCSC via artificial intelligent techniques,” Electr. Power Sys. Res., Vol. 78, pp. 11–20, 2008. doi:doi: 10.1016/j.epsr.2006.12.005
  • G. C. Ejebe, J. Tong, J. G. Waight, J. G. Frame, X. Wang, and W. F. Tinney, “Available transfer capability calculations,” IEEE Trans. Power Syst., Vol. 13, no. 4, pp. 1521–7, Nov. 1998. doi:doi: 10.1109/59.736300
  • N. K. Yadav, “Genetic algorithm with dual mutation probabilities for TCSC – Based ATC Enhancement,” Comput. Commun. Techn., pp. 57–72, 2016
  • T. Nireekshana, G. Kesava Rao, and S. Siva Naga Raju “Enhancement of ATC with FACTS devices using real-Code Genetic Algorithm,” Int. J. Electr. Power Energy Syst., Vol. 43, pp. 1276–84, 2012. doi: 10.1016/j.ijepes.2012.06.041
  • North American Reliability Council (NERC), Available transfer definitions and determinations. NERC Report, June 1996.
  • FACTS Overview, Piscataway: IEEE power engineering society/Cigre, IEEE Service Center; 1995 [Special Issue, 95TP108].
  • G. Radman and R. S. Raje, “Power flow model/calculation for power systems with multiple FACTS controllers,” Int. J. Electr. Power Syst. Res., Vol. 77, pp. 1521–31, 2007. doi:doi: 10.1016/j.epsr.2006.10.008
  • B. Bhattacharyya, V. K. Gupta, S. Kumar, “UPFC with series and shunt FACTS controllers for the economic operation of a power system,” Vol. 5, no. 3, pp. 775–87, Sep. 2014.
  • D. E. Goldberg, B. Korb, and K. Deb. “Messy genetic algorithms: Motivation, analysis, and first results,” Complex Syst., Vol. 5, no. 3, pp. 493–530, Oct. 1989.
  • S. M. Swamy, B. R. Rajakumar, I. R. Valarmathi, “Design of hybrid wind and photovoltaic power system using opposition-based genetic algorithm with Cauchy mutation,” in IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013), 2013, pp. 504–10.
  • X. S. Yang, Nature-Inspired Metaheuristic Algorithms. Frome: Luniver Press, 2008. ISBN 1-905986-10-6.
  • X. S. Yang. “Firefly algorithms for multimodal optimization,” in Stochastic Algorithms: Foundations and Applications, SAGA 2009, O. Watanabe, T. Zeugmann, Eds. Lecture Notes in Computer Sciences, vol. 5792. Berlin: Springer, 2009.
  • M. Ghasemi, M. Taghizadeh, S. Ghavidel, J. Aghaei, and A. Abbasian, “Solving optimal reactive power dispatch problem using a novel teaching–learning-based optimization algorithm,” Eng. Appl. Artif. Intel., Vol. 39, pp. 100–8, 2015. doi:doi: 10.1016/j.engappai.2014.12.001
  • M. Ghasemi, M. M. Ghanbarian, S. Ghavidel, S. Rahmani, and E. M. Moghaddam, “Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study,” Inform. Sci., Vol. 278, pp. 231–49, Sep. 2014. doi:doi: 10.1016/j.ins.2014.03.050
  • H. Zayandehroodi, A. Mohamed, H. Shareef, M. Mohammadjafari, and M. Farhoodnea, “A novel protection coordination strategy using back tracking algorithm for distribution systems with high penetration of DG,” in 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia, Melaka, 2012, pp. 187–92.
  • Y.-T. Kao and E. Zahara, “A hybrid genetic algorithm and particle swarm optimization for multimodal functions,” Appl. Soft Comput., Vol. 8, no. 2, pp. 849–57, 2008. doi:doi: 10.1016/j.asoc.2007.07.002

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