A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems
[Full Text]
AUTHOR(S)
MohammadReza Askari
KEYWORDS
Index Terms: Optimal Distribution Feeder Reconfiguration (DFR), shunt capacitor placement, Point Estimate Method PEM), Bat Algorithm (BA).
ABSTRACT
Abstract: This paper introduces a new stochastic optimization framework based bat algorithm (BA) to solve the optimal distribution feeder reconfiguration (DFR) as well as the shunt capacitor placement and sizing in the distribution systems. The objective functions to be investigated are minimization of the active power losses and minimization of the total network costs an. In order to consider the uncertainties of the active and reactive loads in the problem, point estimate method (PEM) with 2m scheme is employed as the stochastic tool. The feasibility and good performance of the proposed method are examined on the IEEE 69bus test system.
REFERENCES
[1] M. Rostami, A. KavousiFard, and T. Niknam, Expected Cost Minimization of Smart Grids with Plugin Hybrid Electric Vehicles Using Optimal Distribution Feeder Reconfiguration, IEEE Trans. on Industrial Informatics (2015) 11(2) 388 – 397
[2] Kim H., Ko Y., and Jung K. H. (1993) “Artificial neuralnetwork based feeder reconfiguration for loss reduction in distribution systems” IEEE Trans. Power Del, 8(3) 13561366.
[3] A. KavousiFard, A.Abunasri, A. Zare, R. Hoseinzadeh, Impact of Plugin Hybrid Electric Vehicles Charging Demand on the Optimal Energy Management of Renewable MicroGrids,78 Energy, 2014, 904915.
[4] A. KavousiFard, T. Niknam, Optimal Stochastic Capacitor Placement Problem from the Reliability and Cost Views using Firefly Algorithm, IET SMT, vol. 8(5), pp. 260 – 269, 2014
[5] A. KavousiFard, T. Niknam, H. Taherpoor, A. Abbasi, Multiobjective Probabilistic Reconfiguration Considering Uncertainty and MultiLevel Load Model, IET SMT, vol 9 (1), 2015, pp.4455
[6] Kashem M. A., Ganapathy V., and Jasmon G. B. (1999) “Network reconfiguration for load balancing in distribution networks” in Proc. Inst. Elect. Eng.Gener., Transm, Distrib, 14(6) 563567.
[7] Morton A. B. and Mareels I. M. Y. (2000) “An efficient bruteforce solution to the network reconfiguration problem” IEEE Trans. Power Del, 15(3) 996–1000.
[8] Lopez E., Opaso H. (2004) “Online reconfiguration considering variability demand, Applications to real networks” IEEE Trans. Power Syst, 19(1) 549–553.
[9] Niknam T., Kavousifard A. Aghaei J. (2012) “Scenariobased multiobjective distribution feeder reconfiguration considering wind power using adaptive modified particle swarm optimization” IET Renew. Power Gener, 6(4) 236–247.
[10] Zhou Q., Shirmohammadi D., Liu W. (1997) “Distribution feeder reconfiguration for service restoration and load balancing” IEEE Trans on Power Sys, 2(2) 724–729.
[11] KavousiFard A., AkbariZadeh M.R (2013) “Reliability Enhancement Using Optimal Distribution Feeder Reconfiguration” Neurocomputing, 106, 1–11
[12] Ng H.N., Salama M.M.A., Chikhani A.Y. (2000) “Classification of capacitor allocation techniques” IEEE Trans. Power. Del. 15, 387–392.
[13] Civanlar S., Grainger J.J. (1985) “Volt/Var control on distribution systems with lateral branches using shunt capacitors and voltage regulators. Part II. The solution method” IEEE Trans. Power. App. Syst 104, 3284–3290.
[14] A. KavousiFard, M. A. Rostami, and T. Niknam, ReliabilityOriented Reconfiguration of VehicletoGrid Networks, IEEE Trans. on Industrial Informatics (2015) 99 (1), 18.
[15] Baldick R., Wu F.F. (1990) “Efficient integer optimization algorithms for optimal coordination of capacitors and regulators” IEEE Trans. Power Syst. 5, 805–812
[16] Chis M., Salama M.M.A., Jayaram S. (1997) “Capacitor placement in distribution systems using heuristic search strategies” IEE Proc. Gen. Trans. Distrib. 144, 225–230.
[17] Carpinelli G., Proto D., Noce C., Russo A., Varilone P. (2010) “Optimal allocation of capacitors in unbalanced multiconverter distribution systems: A comparison of some fast techniques based on genetic algorithms” Electric Power Syst. Res., 80(6) 642650
[18] Jabr R.A. (2008) “Optimal placement of capacitors in a radial network using conic and mixed integer linear programming” Electric Power Syst. Res., 78(6) 941948
[19] KavousiFard A., Samet H. (2013) “Multiobjective Performance Management of the Capacitor Allocation Problem in Distributed System Based on Modified HBMO Evolutionary Algorithm” Electric Power and Component systems, 41 (13) 1223:1247.
[20] Masoum M., Jafarian A., Ladjevardi M., Fuchs E.F., Grady W.M. (2004) “Fuzzy approach for optimal placement and sizing of capacitor banks in the presence of harmonics” IEEE Trans. Power Del 19(2) 822–829.
[21] Bhattacharya S.K., Goswami S.K. (2009) “A new fuzzy based solution of the capacitor placement problem in radial distribution system” Expert Syst. Appl. 36, 4207–4212.
[22] A. KavousiFard, A. Abbasi and A. Baziar, A novel adaptive modified harmony search algorithm to solve multiobjective environmental/economic dispatch, Journal of Intelligent & Fuzzy Systems, 26(6) (2014), pp. 28172823
[23] A. Baziar, A. KavoosiFard, Jafar Zare, A novel self adaptive modification approach based on bat algorithm for optimal management of renewable MG, Journal of Intelligent Learning Systems and Applications, 5 (2013) 1118
[24] KavousiFard A., Niknam T. (2014) “MultiObjective Stochastic Distribution Feeder Reconfiguration from the Reliability Point of View” Energy, 64, 342–354
[25] A. Kavousifard, H. Samet, Power System Load Prediction Based on MHBMO Algorithm and Neural Network, IEEE Conference on Electrical Engineering (ICEE), 2011, pp. 18, Iran
[26] A. Baziar and A. KavousiFard, An intelligent multiobjective stochastic framework to solve the distribution feeder reconfiguration considering uncertainty, Journal of Intelligent & Fuzzy Systems, 26 (2014) pp. 2215–2227
[27] A. KavousiFard, T. Niknam, Considering uncertainty in the multiobjective stochastic capacitor allocation problem using a novel self adaptive modification approach, Electric Power Systems Research, 103 (2013), 1627.
[28] A. KavousiFard, H. Samet, Multiobjective Performance Management of the Capacitor Allocation Problem in Distributed System Based on Modified HBMO Evolutionary Algorithm, Electric Power and Component systems, 41 (13) (2013) 12231247.
[29] R. Sedaghati, A. KavousiFard, A hybrid fuzzyPEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines, Journal of Intelligent and Fuzzy Systems 26 (2014) 17111721.
[30] A. Baziar, A. Kavousi Fard, Consideration Effect of Uncertainty in the Optimal Energy Management of Renewable MicroGrids including Storage Devices, Renewable Energy, 59 (2013) 158166
[31] T. Niknam, A. Kavousifard, A. Baziar, Multiobjective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants, Energy, 42(1) (2012) 563573.
[32] A. KavousiFard, M. R. AkbariZadeh, Reliability Enhancement Using Optimal Distribution Feeder Reconfiguration, Neurocomputing, 106 (2013) 1–11.
[33] A. KavousiFard, F. KavousiFard, A New Hybrid Correction Method for Short Term Load Forecasting Based on ARIMA, SVR and CSA, Journal of Experimental & Theoretical Artificial Intelligence, 2013. In press. DOI:10.1080/0952813X.2013.782351
[34] A. KavousiFard, T. Niknam, M. Golmaryami, Short Term Load Forecasting of Distribution Systems by a New Hybrid Modified FABackpropagation Method, Journal of Intelligent and Fuzzy systems, 2013. DOI: 10.3233/IFS131025
[35] A. KavousiFard, T. Niknam, Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty, IEEE Trans. On Power Delivery, 29(3) (2014) 1344  1353
[36] A. KavousiFard, T. Niknam, M.R. AkbariZadeh, B. Dehghan, Stochastic framework for reliability enhancement using optimal feeder recon ﬁguration, Journal of Systems Engineering and Electronics Vol. 25, No. 5, August 2014, pp.901–910
[37] A. KavousiFard, T. Niknam, M. Khooban, An Intelligent Stochastic Framework to Solve the Reconfiguration Problem from the Reliability view, IET SMT, 8(5), 2014, p. 245 – 259
[38] Zhenkun L., Xingying C., Kun Y., Yi S., Haoming L. (2007) “A hybrid particle swarm optimization approach for Distribution Network reconfiguration problem” IEEE Power and Energy Society General Meeting, 1–7.
[39] Prakash K. and Sydulu M (2007) “Particle swarm optimization based capacitor placement on radial distribution systems” IEEE Power Engineering Society general meeting. 15
[40] A. KavousiFard, A. Khosravi, S. Nahavadi, A New Fuzzy Based Combined Prediction Interval for Wind Power Forecasting, IEEE Trans. on Power System (2015)
