Abstract
The efficient use of energy in electrical systems has become a relevant topic due to its environmental impact. Parameter identification in induction motors and capacitor allocation in distribution networks are two representative problems that have strong implications in power systems. From an optimization perspective, both problems are considered extremely complex due to their non-linearity, discontinuity, and high multi-modality. These characteristics make difficult to solve them by using standard optimization techniques. On the other hand, metaheuristic methods have been widely used as alternative optimization algorithms to solve complex engineering problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
V. Prakash, S. Baskar, S. Sivakumar, K.S. Krishna, A novel efficiency improvement measure in three-phase induction motors, its conservation potential and economic analysis. Energy Sustain. Dev. 12(2), 78–87 (2008). https://doi.org/10.1016/S0973-0826(08)60431-7
R. Saidur, A review on electrical motors energy use and energy savings. (n.d.). https://doi.org/10.1016/j.rser.2009.10.018
I. Perez, M. Gomez-Gonzalez, F. Jurado, Estimation of induction motor parameters using shuffled frog-leaping algorithm. Electr. Eng. 95(3), 267–275 (2013). https://doi.org/10.1007/s00202-012-0261-7
V.P. Sakthivel, R. Bhuvaneswari, S. Subramanian, Artificial immune system for parameter estimation of induction motor. Expert Syst. Appl. 37(8), 6109–6115 (2010). https://doi.org/10.1016/j.eswa.2010.02.034
K.R. Devabalaji, K. Ravi, D.P. Kothari, Optimal location and sizing of capacitor placement in radial distribution system using bacterial foraging optimization algorithm. Int. J. Electr. Power Energy Syst. 71, 383–390 (2015). https://doi.org/10.1016/j.ijepes.2015.03.008
H.N. Ng, M.M.A. Salama, A.Y. Chikhani, Classification of capacitor allocation techniques. IEEE Trans. Power Deliv. 15(1), 387–392 (2000). https://doi.org/10.1109/61.847278
J. Grainger, S. Lee, Optimum size and location of shunt capacitors for reduction of losses on distribution feeders. IEEE Trans. Power Appar. Syst. PAS-100(3), 1105–1118 (1981). https://doi.org/10.1109/TPAS.1981.316577
S. Lee, J. Grainger, Optimum placement of fixed and switched capacitors on primary distribution feeders. IEEE Trans. Power Appar. Syst. PAS-100(1), 345–352 (1981). https://doi.org/10.1109/TPAS.1981.316862
N.M. Neagle, D.R. Samson, Loss reduction from capacitors installed on primary feeders. Trans. Am. Inst. Electr. Eng. Part III: Power Appar. Syst. 75(3) (1956). https://doi.org/10.1109/AIEEPAS.1956.4499390
H. Dura, Optimum number, location, and size of shunt capacitors in radial distribution feeders a dynamic programming approach. IEEE Trans. Power Appar. Syst. PAS-87(9), 1769–1774 (1968). https://doi.org/10.1109/TPAS.1968.291982
P.M. Hogan, J.D. Rettkowski, J.L. Bala, in Optimal Capacitor Placement Using Branch and Bound. Proceedings of the 37th Annual North American Power Symposium, 2005 (IEEE, n.d.), pp. 84–89. https://doi.org/10.1109/NAPS.2005.1560506
M. Chis, M.M.A. Salama, S. Jayaram, Capacitor placement in distribution systems using heuristic search strategies. IEE Proc. Gener. Transm. Distrib. 144(3), 225 (1997). https://doi.org/10.1049/ip-gtd:19970945
I.C. da Silva, S. Carneiro, E.J. de Oliveira, J. de Souza Costa, J.L.R. Pereira, P.A.N. Garcia, A heuristic constructive algorithm for capacitor placement on distribution systems. IEEE Trans. Power Syst. 23(4), 1619–1626 (2008). https://doi.org/10.1109/TPWRS.2008.2004742
S.F. Mekhamer, M.E. El-Hawary, S.A. Soliman, M.A. Moustafa, M.M. Mansour, New heuristic strategies for reactive power compensation of radial distribution feeders. IEEE Trans. Power Deliv. 17(4), 1128–1135 (2002). https://doi.org/10.1109/TPWRD.2002.804004
A. Askarzadeh, Capacitor placement in distribution systems for power loss reduction and voltage improvement: a new methodology. IET Gener. Transm. Distrib. 10(14), 3631–3638 (2016). https://doi.org/10.1049/iet-gtd.2016.0419
M.M. Aman, G.B. Jasmon, A.H.A. Bakar, H. Mokhlis, M. Karimi, Optimum shunt capacitor placement in distribution system—a review and comparative study. Renew. Sustain. Energy Rev. (2014). https://doi.org/10.1016/j.rser.2013.10.002
A.R. Jordehi, Optimisation of electric distribution systems: a review. Renew. Sustain. Energy Rev. 51, 1088–1100 (2015). https://doi.org/10.1016/j.rser.2015.07.004
O. Avalos, E. Cuevas, J. Gálvez, Induction motor parameter identification using a gravitational search algorithm. Computers 5(2), 6 (2016). https://doi.org/10.3390/computers5020006
Y.M. Shuaib, M.S. Kalavathi, C.C.A. Rajan, Optimal capacitor placement in radial distribution system using gravitational search algorithm. Int. J. Electr. Power Energy Syst. 64, 384–397 (2015). https://doi.org/10.1016/j.ijepes.2014.07.041
V.P. Sakthivel, R. Bhuvaneswari, S. Subramanian, An accurate and economical approach for induction motor field efficiency estimation using bacterial foraging algorithm. Measurement 44(4), 674–684 (2011). https://doi.org/10.1016/j.measurement.2010.12.008
A. Askarzadeh, A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Comput. Struct. 169, 1–12 (2016). https://doi.org/10.1016/j.compstruc.2016.03.001
C.-S. Lee, H.V.H. Ayala, L.S. dos Coelho, Capacitor placement of distribution systems using particle swarm optimization approaches. Int. J. Electr. Power Energy Syst. 64, 839–851 (2015). https://doi.org/10.1016/j.ijepes.2014.07.069
C. Picardi, N. Rogano, in Parameter Identification of Induction Motor Based on Particle Swarm Optimization. International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006 (IEEE, n.d.), pp. 968–973. https://doi.org/10.1109/SPEEDAM.2006.1649908
K. Prakash, M. Sydulu, in Particle Swarm Optimization Based Capacitor Placement on Radial Distribution Systems. 2007 IEEE Power Engineering Society General Meeting (IEEE, 2007), pp. 1–5. https://doi.org/10.1109/PES.2007.386149
S.P. Singh, A.R. Rao, Optimal allocation of capacitors in distribution systems using particle swarm optimization. Int. J. Electr. Power Energy Syst. 43(1), 1267–1275 (2012). https://doi.org/10.1016/j.ijepes.2012.06.059
F. Alonge, F. D’Ippolito, G. Ferrante, F. Raimondi, Parameter identification of induction motor model using genetic algorithms. IEE Proc. Control (1998). Retrieved from http://digital-library.theiet.org/content/journals/10.1049/ip-cta_19982408
K. Swarup, in Genetic Algorithm for Optimal Capacitor Allocation in Radial Distribution Systems. Proceedings of Sixth WSEAS International Conference on Evolutionary Computation (2005). Retrieved from http://www.wseas.us/e-library/conferences/2005lisbon/papers/496-294.pdf
J. Chiou, C. Chang, C. Su, Capacitor placement in large-scale distribution systems using variable scaling hybrid differential evolution. Int. J. Electr. Power Energy Syst. (2006). Retrieved from http://www.sciencedirect.com/science/article/pii/S0142061506001025
C. Su, C. Lee, in Modified Differential Evolution Method for Capacitor Placement of Distribution Systems. Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES (2002). Retrieved from http://ieeexplore.ieee.org/abstract/document/1178285/
R. Ursem, P. Vadstrup, in Parameter Identification of Induction Motors Using Differential Evolution. The 2003 Congress on Evolutionary Computation, 2003. CEC ‘03 (2003). Retrieved from http://ieeexplore.ieee.org/abstract/document/1299748/
Y.-C. Huang, H.-T. Yang, C.-L. Huang, Solving the capacitor placement problem in a radial distribution system using Tabu Search approach. IEEE Trans. Power Syst. 11(4), 1868–1873 (1996). https://doi.org/10.1109/59.544656
X.-S. Yang, T.O. Ting, M. Karamanoglu, Random Walks, Lévy Flights, Markov Chains and Metaheuristic Optimization (Springer, Netherlands, 2013), pp. 1055–1064. https://doi.org/10.1007/978-94-007-6516-0_116
D. Oliva, S. Hinojosa, E. Cuevas, G. Pajares, O. Avalos, J. Gálvez, Cross entropy based thresholding for magnetic resonance brain images using crow search algorithm. Expert Syst. Appl. 79, 164–180 (2017). https://doi.org/10.1016/j.eswa.2017.02.042
D. Liu, C. Liu, Q. Fu, T. Li, K. Imran, S. Cui, F. Abrar, ELM evaluation model of regional groundwater quality based on the crow search algorithm. Ecol. Indic. (2017). Retrieved from http://www.sciencedirect.com/science/article/pii/S1470160X17303527
N.J. Emery, N.S. Clayton, The mentality of crows: convergent evolution of intelligence in Corvids and Apes. Science 306(5703) (2004). Retrieved from http://science.sciencemag.org/content/306/5703/1903.full
S. Rajput, M. Parashar, H.M. Dubey, M. Pandit, in Optimization of Benchmark Functions and Practical Problems Using Crow Search Algorithm. 2016 Fifth International Conference on Eco-friendly Computing and Communication Systems (ICECCS) (IEEE, 2016), pp. 73–78. https://doi.org/10.1109/Eco-friendly.2016.7893245
A. Baronchelli, F. Radicchi, Lévy flights in human behavior and cognition. Chaos, Solitons Fractals (2013). Retrieved from http://www.sciencedirect.com/science/article/pii/S0960077913001379
X.-S. Yang, Nature-Inspired Metaheuristic Algorithms (Luniver Press, 2010)
T. Chen, M. Chen, K. Hwang, Distribution system power flow analysis-a rigid approach. IEEE Trans. Power Deliv. (1991). Retrieved from http://ieeexplore.ieee.org/abstract/document/85860/
B. Venkatesh, R. Ranjan, Data structure for radial distribution system load flow analysis. IEE Proc. Gener. Transm. Distrib. (2003). Retrieved from http://digital-library.theiet.org/content/journals/10.1049/ip-gtd_20030013
S. Ghosh, D. Das, (1999). Method for load-flow solution of radial distribution networks. IEE Proc. Gener. Transm. Distrib. Retrieved from http://ieeexplore.ieee.org/abstract/document/820368/
R.S. Rao, S.V.L. Narasimham, M. Ramalingaraju, Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm. Int. J. Electr. Power Energy Syst. 33(5), 1133–1139 (2011). https://doi.org/10.1016/j.ijepes.2010.11.021
M. Jamadi, F. Merrikh-Bayat, New Method for Accurate Parameter Estimation of Induction Motors Based on Artificial Bee Colony Algorithm (2014). Retrieved from http://arxiv.org/abs/1402.4423
J.J. Grainger, S.H. Lee, Capacity release by shunt capacitor placement on distribution feeders: a new voltage-dependent model. IEEE Trans. Power Appar. Syst. PAS-101(5), 1236–1244 (1982). https://doi.org/10.1109/TPAS.1982.317385
M.E. Baran, F.F. Wu, Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans. Power Deliv. 4(2), 1401–1407 (1989). https://doi.org/10.1109/61.25627
M. Baran, F.F. Wu, Optimal sizing of capacitors placed on a radial distribution system. IEEE Trans. Power Deliv. 4(1), 735–743 (1989). https://doi.org/10.1109/61.19266
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cuevas, E., Barocio Espejo, E., Conde Enríquez, A. (2019). A Modified Crow Search Algorithm with Applications to Power System Problems. In: Metaheuristics Algorithms in Power Systems. Studies in Computational Intelligence, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-030-11593-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-11593-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11592-0
Online ISBN: 978-3-030-11593-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)