Abstract
We study applications of the method of limit graphs that has been previously developed for accident prevention control of heat supply networks to structural optimization problems for modes of electrical distribution networks. We present a comparative analysis of optimization results for a practical 52-bus distribution network according to stability criteria, uniformness of the voltage profile, and power losses.
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Ramesh, L., Chowdhury, S.P., Natarajan, A.A., et al., Minimization of Power Loss in Distribution Networks by Different Techniques, Int. J. Elect. Power Energy Syst. Eng., 2009, vol. 2, no. 1, pp. 743–766.
Grebenyuk, G.G. and Krygin, A.A., Algorithms for Optimization of the Number of Switchings in Heat Supply Networks Reconfiguration, Autom. Remote Control, 2007, vol. 68, no. 12, pp. 2187–2197.
Rama Rao, P.V.V. and Sivanagaraju, S., Radial Distribution Network Reconfiguration for Loss Reduction and Load Balancing using Plant Growth Simulation Algorithm, Int. J. Elect. Eng. Inform., 2010, vol. 2, no. 4, pp. 266–277.
Kayal, P. and Chanda, C.K., A Simple and Fast Approach for Allocation and Size Evaluation of Distributed Generation, Int. J. Energy Environ. Eng., 2013, vol. 4, no. 7, pp. 2–10.
Aravindhababu, P. and Mohan, G., Optimal Capacitor Placement for Voltage Stability Enhancement in Distribution Systems, ARPN J. Eng. Appl. Sci., 2009, vol. 4, no. 2, pp. 88–92.
Yadykin, I.B. and Galyaev, A.A., On the Methods for Calculation of Grammians and Their Use in Analysis of Linear Dynamic Systems, Autom. Remote Control, 2013, vol. 74, no. 2, pp. 207–224.
Christine, E. and Doig, C., Analysis on Voltage Stability Indices, Inst. Automat. Complex Power Syst., E.ON Energy Res. Center, 2012.
Charkravorty, M. and Das, D., Stability Analysis of Radial Distribution Networks, Int. J. Elect. Power Energy Syst., 2001, vol. 23, no. 2, pp. 129–135.
Ratniyomchai, T. and Kulworawanichpong, T., Monte Carlo Simulation for Voltage Stability Index Evaluation, WSEAS Trans. Power Syst., 2008, vol. 3, no. 12, pp. 735–744.
Venkata Ramana, B., Murthy, K.V.S.R., Upendra Kumar, P., and Raja Kumar, V., A Two Bus Equivalent Method for Determination of Steady State Voltage Stability Limit of a Power System, Int. J. Comput. Eng. Res., 2012, vol. 2, no. 2, pp. 428–434.
Voropai, N.I. and Bui Din’ Tkhan’, Restoring Power Supply Systems with Distributive Generation after a Large-Scale Failure, Prom. Energetika, 2011, no. 8, pp. 12–18.
Baran, M.E. and Wu, F.F., Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing, IEEE Trans. Power Del., 1989, vol. 4(2), pp. 1401–1407.
Civanlar, S., Grainger, J.J., Yin, H., and Lee, S.S.H., Distribution Feeder Reconfiguration for Loss Reduction, IEEE Trans. Power Del., 1988, vol. 3, no. 3, pp. 1217–1223.
Merlin, A. and Back, H., Search for a Minimal-Loss Operating Spanning Tree Configuration in an Urban Power Distribution System, Proc. 5 Power Syst. Comput. Conf. (PSCC), Cambridge, United Kingdom, 1975, paper 1.2/6.
Shirmohammadi, D. and Hong, H.W., Reconfiguration of Electric Distribution Networks for Resistive Line Loss Reduction, IEEE Trans. Power Del., 1989, vol. 4, no. 1, pp. 1492–1498.
Hong, Y.Y. and Ho, S.Y., Determination of Network Configuration Considering Multiobjective in Distribution Systems Using Genetic Algorithms, IEEE Trans. Power Syst., 2005, vol. 20, no. 2, pp. 1062–1069.
Prasad, K., Ranjan, R., Sahoo, N.C., and Chaturvedi, A., Optimal Reconfiguration of Radial Distribution Systems Using a Fuzzy Mutated Genetic Algorithm, IEEE Trans. Power Del., 2005, vol. 20, no. 2, pp. 1211–1213.
Zhu, J.Z., Optimal Reconfiguration of Electrical Distribution Network Using the Refined Genetic Algorithm, Elect. Power Syst. Res., 2002, vol. 62, no. 1, pp. 37–42.
Kim, H., Ko, Y., and Jung, K.H., Artificial Neural-Network Based Feeder Reconfiguration for Loss Reduction in Distribution Systems, IEEE Trans. Power Del., 1993, vol. 8. no. 3, pp. 1356–1366.
Salazar, H., Gallego, R., and Romero, R., Artificial Neural Networks and Clustering Techniques Applied in the Reconfiguration of Distribution Systems, IEEE Trans. Power Del., 2006, vol. 21, no. 3, pp. 1735–1742.
Song, Y.H., Wang, G.S., Johns, A.T., and Wang, P.Y., Distribution Network Reconfiguration for Loss Reduction Using Fuzzy Controlled Evolutionary Programming, Proc. Inst. Elect. Eng. Gen. Trans. Distrib., 1997, vol. 144, no. 4, pp. 345–350.
Delbem, A.C.B., Carvalho, P.L.F., and Bretas, N.G., Main Chain Representation for Evolutionary Algorithms Applied to Distribution System Reconfiguration, IEEE Trans. Power Syst., 2005, vol. 20, no. 1, pp. 425–436.
Li, T., Su, W.L., and Wang, C.F., A Global Optimization Bionics Algorithm for Solving Integer Programming-Plant Growth Simulation Algorithm, Proc. Int. Conf. Manage. Sci. Eng., Harbin, China, Aug. 13–15, 2004, vol. 1, pp. 531–535.
Partha Kayal, Sayonsom Chanda, and Chanda, C.K., Determination of Voltage Stability in Distribution Network Using ANN Technique, Int. J. Electric. Eng. Inform., 2012, vol. 4, no. 2, pp. 347–360.
Thukaram, D., Khincha, H.P., and Vijaynarasimha, H.P., Artifcial Neural Network and Support Vector Machine Approach for Locating Faults in Radial Distribution Systems, IEEE Trans. Power Del., 2005, vol. 20, no. 2, pp. 710–721.
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Original Russian Text © G.G. Grebenyuk, A.A. Krygin, 2015, published in Avtomatika i Telemekhanika, 2015, No. 1, pp. 147–162.
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Grebenyuk, G.G., Krygin, A.A. Limit graphs in structural optimization of modes in distribution networks. Autom Remote Control 76, 120–132 (2015). https://doi.org/10.1134/S0005117915010117
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DOI: https://doi.org/10.1134/S0005117915010117