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Optimum allocation of active power filters in large supply systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Problems concerning electrical power quality and especially estimation of costs required for reduction of higher harmonics in power network voltage and current time waveforms have been considered in the paper. The application of active power filters to reduction of higher harmonics has been analysed taking into account, in particular, the necessary investment costs. Two goal functions have been used to solve the underlying optimization problem - the first one that enables direct cost minimization and the second one based on the cost-effectiveness approach used by economists. Such approach is substantially different from solutions proposed by other authors who concentrate rather on theoretical issues and do not take into consideration the economical market-based reality. In the paper, theoretical analysis has been followed by an example of optimal allocation of active power filters in a large supply system.
Rocznik
Strony
37--44
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
  • Faculty of Electrical Engineering, Institute of Electrical Engineering and Computer Science, Silesian University of Technology, 16 Akademicka St., 44-100 Gliwice, Poland
autor
  • Faculty of Electrical Engineering, Institute of Electrical Engineering and Computer Science, Silesian University of Technology, 16 Akademicka St., 44-100 Gliwice, Poland
Bibliografia
  • [1] R. Targosz and D. Chapman, Application Note Cost of Poor Power Quality, http://www.leonardo-energy.org/ (2012).
  • [2] S. Bhattacharyya and S. Cobben, Consequences of Poor Power Quality - An Overview, http://www.intechopen.com/ (2011).
  • [3] H. Akagi, “Modern active filters and traditional passive filters”, Bull. Pol. Ac.: Tech. 54 (3), 255-269 (2006).
  • [4] H. Akagi, E. Hirokazu, and M. Aredes, Instantaneous Power Theory and Applications to Power Conditioning, Wiley-IEEE Press, London, 2006.
  • [5] M. Maciążek, “Power theories applications to control active compensators”, Power Theories for Improved Power Quality, Power Systems Series 1, 49-116 (2012).
  • [6] Y.-Y. Hong and Y.-K. Chang, “Determination of locations and sizes for active power line conditioners to reduce harmonics in power systems”, IEEE Trans. on Power Delivery 11 (3), 1610-1617 (1996).
  • [7] R. Keypour, H. Seifi, and A. Yazdian-Varjani, “Genetic based algorithm for active power filter allocation and sizing”, Electric Power Systems Research 71, 41-49 (2004).
  • [8] D.F.U. Ramos, J. Cortes, H. Torres, L.E. Gallego, A. Delgadillo, and L. Buitrago, “Implementation of genetic algorithms in ATP for optimal allocation and sizing of active power line conditioners”, Proc. IEEE/PES Transmission & Distribution Conf. and Exposition 1, 1-5 (2006).
  • [9] N. Dehghani and I. Ziari, “Optimal allocation of APLCs using genetic algorithm”, Proc. 43rd Int. Universities Power Engineering Conf. UPEC 1, 1-4 (2008).
  • [10] W. Yan-Song, S. Hua, L. Xue-min, L. Jun, and G. Song-bo, “Optimal allocation of the active filters based on the TABU algorithm in distribution network”, Proc. Int. Conf. on Electrical and Control Engineering ICECE 1, 1418-1421 (2010).
  • [11] C.S. Gehrke, A.M.N. Lima, and A.C. Oliveira, “Evaluating APLCs placement in a power system based on real-time simulation”, IEEE Energy Conversion Congress and Exposition 1, 2011 (2012).
  • [12] A. Moradifar and H.R. Soleymanpour, “A fuzzy based solution for allocation and sizing of multiple active power filters”, J. Power Electronics 12 (5), 830-841 (2012).
  • [13] I. Ziari and A. Jalilian, “Optimal placement and sizing of multiple APLCs using a modified discrete PSO”, Int. J. Electrical Power and Energy Systems 43 (1), 630-639 (2012).
  • [14] N. He, D. Xu, and L. Huang, ”The application of particle swarm optimization to passive and hybrid active power filter design”, IEEE Trans. on Industrial Electronics 56 (8), 2841-2851 (2009).
  • [15] I. Ziari and A. Jalilian, “A new approach for allocation and sizing of multiple active power-line conditioners”, IEEE Trans. on Power Delivery 25 (2), 1026-1035 (2010).
  • [16] H. Yue, G. Li, M. Zhou, K. Wang, and J. Wang, “Multiobjective optimal power filter planning in distribution network based on fast nondominated sorting genetic algorithms”, DRPT 2011-2011 4th Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies 1, 234 (2011).
  • [17] S.M.R. Rafiei, M.H. Kordi, G. Griva, and H. Yassami, “Multiobjective optimization based optimal compensation strategies study for power quality enhancement under distorted voltages”, IEEE Int. Symp. on Industrial Electronics 1, 3284 (2010).
  • [18] M. Maciążek, D. Grabowski, and M. Pasko, “Genetic and combinatorial algorithms for optimal sizing and placement of active power filters”, Int. J. Applied Mathematics and Computer Sciences 25 (2), 269-279 (2015).
  • [19] W.M. Grady, PCFLO v6 User Manual, http://users.ece.utexas.edu/_grady/ (2010).
  • [20] F. Yamamoto, A. Kitamura, N. Fujita, Y. Nakanishi, and M. Nagasawa, “A study on optimal locations and sizes of active filters as an additional function of distributed generation systems”, Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics SMC (6), 515-520 (1999).
  • [21] M. Maciążek, D. Grabowski, and M. Pasko, “Active power filters-optimization of sizing and placement”, Bull. Pol. Ac.: Tech. 61 (4), 847-853 (2013).
  • [22] E.F. Fuchs, D.J. Roesler, and M.A.S. Masoum “Are harmonic recommendations according to IEEE and IEC too restrective?”, IEEE Trans. on Power Delivery 19 (4), 1775-1786 (2004).
  • [23] IEEE Std 519-1992 IEEE Recommended Practices and Requirements for Harmonic Control in Electric Power Systems, Institute of Electrical and Electronics Engineers, Warsaw, 1993.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-93120d44-c4c8-4279-9413-2edd4c39b90c
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