Optimal Location Settings for UPFC Using Ant Colony Optimization for Improving Power System Security Under Single Contingencies
DOI:
https://doi.org/10.62760/iteecs.2.3.2023.60Keywords:
Unified power flow controller, Ant colony optimization, Contingency analysis, Power flow analysis, Non linear loadAbstract
Devices referred to as FACTS are utilized extensively in the process of making power system more secure. The UPFC, which contains both shunt and series correction, is one of the FACTS devices that is considered to be among the most successful. The placement of the FACTS device and the values that are selected for its parameters both have a role in determining how successful the device is in reducing security risks. In this study, the ACO approach is presented as a means of optimally positioning UPFC in order to improve the consistency of the power system in the occurrence of single contingencies, also known as an N-1 contingency. In order to guarantee the integrity of the system, the simulation is run on test systems based on the IEEE 6 bus and the IEEE 14 bus, taking into account line overloads and voltage destructions on the bus. This strategy has a two-pronged approach. In the beginning, a N-1 contingency test is carried out based on the severity ranking, and after that, an ACO algorithm is used to install UPFC in the ideal location in order to reduce the severity. In order to further verify the suggested method, the results are matched with the traditional NLP-IP method. This comparison reveals that the new strategy is better in terms of assuring the safety of power systems.
References
B. Stott, O. Alsac, A. J. Monticelli. “Security Analysis and Optimization”, Proceedings of the IEEE, Vol. 75, No. 12, pp. 1623-1644, December 1987.
J. A. Huang, A. Valette, M. Beaudoin, K. Morison, A. Moshref, M. Provencher, J. Sun. “An Intelligent System for Advanced Dynamic Security Assessment”, Proceedings of the IEEE Power Con 2002, International conference on power system technology, pp. 220-224, 2002.
Ch. R. Reddy, and K. H. Reddy. "Islanding Detection Techniques for Grid Integrated DG–A Review." International Journal of Renewable Energy Research (IJRER), Vol. 9, No. 2, pp. 960-977, 2002.
Ch. R. Reddy, and K. H. Reddy "A New Passive Islanding Detection Technique for Integrated Distributed Generation System Using Rate of Change of Regulator Voltage over Reactive Power at Balanced Islanding." Journal of Electrical Engineering & Technology, Vol 14, No. 2, pp. 527-534, 2019.
Ch. R. Reddy and K. H. Reddy. "Islanding detection for inverter based distributed generation with Low frequency current harmonic injection through Q controller and ROCOF analysis." Journal of Electrical Systems, Vol. 14, No. 2, pp. 179-191, 2018.
J. Zhang, D. Guo, F. Wang, Y. Zuo, H. Zhang "Research on energy management strategy for islanded microgrid based on hybrid storage device." 2013 International Conference on Renewable Energy Research and Applications, pp. 91-96, 2013.
G. I. Rashed, H.I.S habeen and S. J. Cheng, “Optimal location and parameter setting of TCSC by both Genetic Algorithm and Particle Swarm optimization”, Proc. Of 2nd IEEE Conference on Industrial Electronics and Applications, pp. 1141-1147, 2007.
F. H. Gandoman, A. Ahmadi, A.M.Sharaf, P. Siano, J. Pou, B. Hredzak, V. G. Agelidis "Review of FACTS technologies and applications for power quality in smart grids with renewable energy systems." Renewable and sustainable energy reviews, Vol. 82, pp. 502-514, 2018.
S. K. Behera, N. K. Mohanty "Social welfare maximization with thyristors controlled series compensator using grey wolf optimization algorithm", International Journal of Electrical Engineering Education, Vol. 58, No. 2, pp. 209-222, 2019.
K. Bhattacharjee, M. Pant "Hybrid particle swarm optimization-genetic algorithm trained multi-layer perceptron for classification of human glioma from molecular brain neoplasia data", Cognitive Systems Research, Vol. 58, pp. 173-194, 2019.
H. Shayeghia, H.A. Shayanfarb, S. Jalilzadehc, A. Safari, “A PSO based unified power flow controller for damping of power system oscillations”, Energy Conversion and Management, Vol. 50, No. 10, pp. 2583–2592, 2009.
M. Mathur and R.K.Varma “Thyrisor Based FACTS Controllers for Electrical Transmission Systems”, IEEE Press Series on Power Engineering, John Willy & Sons, New York, 2002.
S. Li, T. Wang, H. Zhang, L. Wang, Y. Jiang, J. Xue "Sensitivity-based coordination to controllable ranges of UPFCs to avoid active power loop flows", International Journal of Electrical Power & Energy Systems, Vol. 144, art.no. 105383, 2020.
S. Morsli, O. Bekhechi and A. Chaker "A Fuzzy Tuned Adaptive PI Controller Based UPFC to Improve Power Oscillations Damping in Multi Machine Power System", International Review on Modelling and Simulations, Vol. 8, No. 3, pp. 307-314, 2015.
G.I. Rashed, Y. Sun; K.A. Rashed, H.I. Shaheen “Optimal location of unified power flow controller by differential evolution algorithm considering transmission loss reduction”, IEEE International Conference on Power System Technology, pp. 1 – 6, 2012.
E. Ghahremani and I. Kamwa, “Optimal Placement of Multiple-Type FACTS Devices to Maximize Power System Loadability Using a Generic Graphical User Interface”, IEEE Trans. Power System, Vol. 28, No. 2, pp 764-778, 2013.
H.I. Shaheen, G. I. Rashed, S.J. Cheng, “Optimal Location and Parameters Setting of Unified Power Flow Controller Based on Evolutionary Optimization Techniques”, IEEE Power Engineering Society General Meeting, pp. 1 – 8, 2007.
B. Bhattacharyya, V. K. Gupta and S. Kumar “UPFC with series and shunt FACTS controllers for the economic operation of a power system” Ain Shams Engineering Journal, Vol. 5, No. 3, pp. 775–787, 2014.
D. Arabkhaburi, A. Kazemi, M. Yari and J. Aghaei, “Optimal Placement of UPFC in Power Systems Using Genetic Algorithm”, IEEE International Conference on Industrial Technology, pp.1694 – 1699, 2006.
Z. Hamid, I. Musirin, M.M. Othman, and M.R. Khalil, “Optimum tuning of Unified Power Flow Controller via Ant Colony Optimization technique”, 4th International Power Engineering and Optimization Conference, pp.170 – 177, 2010.
C. Erik, and H. Sossa "A comparison of nature inspired algorithms for multi-threshold image segmentation." Expert Systems with Applications, Vol. 40, No. 4, pp. 1213-1219, 2014.
D. Marco, V. Maniezzo, and A. Colorni. "Ant system: optimization by a colony of cooperating agents." IEEE transactions on systems, man, and cybernetics, part b (cybernetics), Vol. 26, No. 1, pp. 29-41, 1996.
M. Dorigo and L. M. Gambardella, “Ant Colony System: A cooperative learning approach to the traveling salesman problem”, IEEE Transaction on Evolutionary Computation, Vol 6, No.4, pp. 317-365, 1997.
D. Marco and G.D. Caro "Ant colony optimization: a new meta-heuristic." Proceedings of the 1999 congress on evolutionary computation, Vol. 2, pp. 1470-1477, 1999.
B. P. Gajanan. "Optimal Location of FACTS Device on Enhancing System Security." International Journal of Electrical and Computer Engineering, Vol. 2, No. 3, pp. 309, 2012.
F. A. Porta and S. J. Wright “Interior point methods,” Journal of Computational and Applied Mathematics, Vol. 124, No. 1-2, pp. 281–302, 2000.
A. N. Niaki and M.R. Iravani “Steady-state and Dynamic Models of Unified Power Flow Controller (UPFC) for Power System Studies”, IEEE Transactions on Power Systems, Vol. 11, No. 4, pp. 1937–1943, 1996.
Mehrdad Tarafdar Hagh, Manijeh Alipour, Saeed Teimourzadeh, “Application of HGSO to security based optimal placement and parameter setting of UPFC”, Energy Conversion and Management, Vol. 86, July 2014, pp. 873–885.
S. Dutta, P. Mukhopadhyay, P.K. Roy, D. Nandi "Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm", International Journal of Electrical Power & Energy Systems, Vol. 80, pp. 10-25, 2016.
S. Kalyani and K. S. Swarup, “ Study of Neural Network Models for Security Assessment in Power Systems”, International Journal of Research and Reviews in Applied Sciences, Vol. 1, No. 2, pp. 104-117, 2009.
T. Hagh, M. Alipour, and S. Teimourzadeh. "Application of HGSO to security based optimal placement and parameter setting of UPFC", Energy Conversion and Management, Vol. 86, pp. 873-885, 2014.
M. Saleh, Y. Esa, N. Onuorah, A. A. Mohamed "Optimal microgrids placement in electric distribution systems using complex network framework." 2017 IEEE 6th International Conference on Renewable Energy Research and Applications, pp. 1036-1040, 2017.
M. Dávid, M. Kajanová, and P. Braciník "The Impact of Embedded Generation on Distribution Grid Operation." 2018 7th International Conference on Renewable Energy Research and Applications, pp. 360 -364, 2018.
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