Abstract
This manuscript presents an approach to allocate static capacitors along radial distribution networks using the artificial bee colony algorithm. In general practice the high potential buses for capacitor placement are initially identified using loss sensitivity factors. However, that method has proven less than satisfactory as loss sensitivity factors may not always indicate the appropriate placement. In the proposed approach, the algorithm identifies optimal sizing and placement and takes the final decision for optimum location within the number of buses nominated. The result is enhancement of the overall system stability index and potential achievement of maximum net savings. The obtained results are compared with those achieved using recent heuristic methods and show that the proposed approach is capable of producing high-quality solutions.
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References
Haque, M.H.: Capacitor placement in radial distribution systems for loss reduction. IEE Proc. Gener. Transm. Dis. 146(5), 501–505 (1999)
Chis, M., Salama, M., Jayaram, S.: Capacitor placement in distribution system using heuristic search strategies. IEE Proc. Gener. Transm. Dist. 144(3), 225–230 (1997)
Short, T.A.: Electric power distribution equipment and systems capacitor application. Taylor & Francias Group (2005)
Sirjani, R., Azah, M., Shareef, H.: Heuristic optimization techniques to determine optimal capacitor placement and sizing in radial distribution networks: a comprehensive review. Przegląd Elektrotechniczny (Electr. Rev.) 88(7a), 1–7 (2012)
Gallego, R.A., Monticelli, A.J., Romero, R.: Optimal capacitor placement in radial distribution networks using tabu search. IEEE Trans. Power Syst. 16(4), 630–637 (2001)
Prakash, K., Sydulu, M.: Particle swarm optimization based capacitor placement on radial distribution systems. IEEE PES General Meeting, 1–5 (2007)
Yu, X.M., Xiong, X.Y., Wu, Y.W.: A PSO-based approach to optimal capacitor placement with harmonic distortion consideration. Electr. Power Syst. Res. 71, 27–33 (2004)
Sirjani, R., Mohamed, A., Shareef, H.: Optimal capacitor placement in a radial distribution system using harmony search algorithm. J. Appl. Sci. 10(23), 2996–3006 (2010)
Chang, C.F.: Reconfiguration and capacitor placement for loss reduction of distribution systems by ant colony search algorithm. IEEE Trans. Power Syst. 23(4), 1747–1755 (2008)
Annaluru, R., Das, S., Pahwa, A.: Multi-level ant colony algorithm for optimal placement of capacitors in distribution systems. In: Congress on Evol. Comput, CEC, vol. 2, pp. 1932–1937 (2004)
Chiang, H.D., Wang, J.C., Cockings, O., Shin, H.D.: Optimal capacitor place-ments in distribution systems: part 1: a new formulation and the overall problem. IEEE Trans. Power Deliv. 5(2), 634–642 (1990)
Swarup, K.S.: Genetic Algorithm for optimal capacitor allocation in radial distribution systems. In: Proc. the 6th WSEAS Int. Conf. Evolut. Comput., Lisbon, Portugal, June 16-18, pp. 152–159 (2005)
Hsiao, Y.T., Chen, C.H., Chien, C.C.: Optimal capacitor placement in distribution systems using a combination fuzzy-GA method. Electr. Power Energy Syst. 26, 501–508 (2004)
Tabatabaei, S.M., Vahidi, B.: Bacterial foraging solution based fuzzy logic decision for optimal capacitor allocation in radial distribution system. Electr. Power Syst. Res. 81, 1045–1050 (2011)
Rao, R.S., Narasimham, S.V.L., Ramalingaraju, M.: Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm. Int. J. Electr. Power Energy Syst. 33(5), 1133–1139 (2011)
Huang, S.: An immune-based optimization method to capacitor placement in a radial distribution system. IEEE Trans. Power Deliv. 15(2), 744–749 (2000)
El-Fergany, A.: Optimal capacitor allocations using integrated evolutionary algorithms. IET Gener. Transm. Distrib. 7(6), 593–601 (2013)
Sedighizadeh, M., Arzaghi-haris, D.: Optimal allocation and sizing of capacitors to minimize the distribution line loss and to improve the voltage profile using big bang-big crunch optimization. Int. Rev. Electr. Eng. (IREE) 6(4), Part B, 2013–2019 (2011)
El Arini, M.: Optimal capacitor placement incorporating voltage stability and system security. Eur. Trans. Electr. Power 10(5), 319–325 (2000)
Satpathy, P.K., Das, D., Gupta, P.B.: Critical switching of capacitors to prevent voltage collapse. Electr. Power Sys. Res., 11–20 (2004)
Jasmon, B., Lee, L.H.C.C.: Maximising voltage stability in distribution networks via loss minimization. J. Electr. Power Energy Sys. 13(3), 148–152 (1991)
Graham, W.A., McDonald, J.R.: Planning for distributed generation within distribution networks in restructured electricity markets. IEEE Power Eng. Rev., 52–54 (2000)
Teng, J.H.: A direct approach for distribution system load flow solutions. IEEE Trans. Power Deliv. 18(3), 882–887 (2003)
Gözel, T., Eminoglu, U., Hocaoglu, M.H.: A tool for voltage stability and optimization in radial distribution systems using MATLAB GUI. Simul. Model Pract. Theory 16(5), 505–518 (2008)
Moghavemmi, M., Omar, F.M.: Technique for contingency monitoring and voltage collapse prediction. IEE Proc. Gener. Transm. Dist. 145, 634–640 (1998)
Musirin, I., Rahman, T.K.A.: Estimating maximum loadability for weak bus identification using FVSI. IEEE Power Eng. Rev. 22, 50–52 (2002)
Anhit, S., Ndarajah, M., Kwang, S.: A maximum loading margin method for static voltage stability in power systems. IEEE Trans. Power Syst. 21(2), 965–972 (2006)
Charkravorty, M., Das, D.: Voltage stability analysis of radial distribution networks. Int. J. Electr. Power Energy Syst. 23(2), 129–135 (2001)
Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: Artificial Bee Colony (ABC) algorithm. Journal of Global Optimization 39(3), 459–471 (2007)
Karaboga, D., Basturk, B.: On the performance of artificial bee colony algorithm. Appl. Soft Comput. 8, 687–697 (2008)
Karaboga, D., Akay, B.: A comparative study of Artificial Bee Colony algorithm. J. Appl. Math. Comput. 214, 108–132 (2009)
Das, S., Biswas, S., Kundu, S.: Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization. Appl. Soft Comput. (in press, 2013), doi:10.1016/j.asoc.2013.07.009
Biswas, S., Kundu, S., Das, S., Vasilakos, A.: Information sharing in bee colony for detecting multiple niches in non-stationary environments. In: GECCO 2013 Companion Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion (2013), doi:10.1145/2464576.2464588
Mozaffari, A., Gorji-Bandpy, M., Gorji, T.B.: Optimal design of constraint engineering systems: application of mutable smart bee algorithm. International Journal of Bio-inspired Computation 4(3), 167–180 (2012)
El-Fergany, A., Abdelaziz, A.Y.: Capacitor placement for net saving maximization and system stability enhancement in distribution networks using artificial bee colony-based approach. Int. J. Electr. Power Energy Syst. 54, 235–243 (2014)
Ali, E., Boudour, M., Rabah, G.: New evolutionary technique for optimization shunt capacitors in distribution networks. J. Electr. Eng. 62(3), 163–167 (2011)
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El-Fergany, A., Abdelaziz, A.Y., Panigrahi, B.K. (2013). Artificial Bee Colony-Based Approach for Optimal Capacitor Placement in Distribution Networks. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_38
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DOI: https://doi.org/10.1007/978-3-319-03753-0_38
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