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Power Factor Correction and Harmonic Filtering Planning in Electrical Distribution Network

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Abstract

This paper presents a multi-objective algorithm for power factor correction and harmonic filtering planning in distribution networks considering capacitor banks, single-tuned passive filters and high-pass passive filters allocation. A strength Pareto evolutionary algorithm II is used. Investments costs, power and energy losses costs and harmonic mitigation are considered in the solution. A 282-bus test system is presented, and the results are compared to the solution given by a nondominated sorting genetic algorithm II approach. The results confirm the efficiency of the proposed method which makes it promising to solve complex problems of planning in distribution feeders.

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References

  • Alves, H. N., Souza, B. A., Braz, H. D. M., & Kagan, N. (2004). Optimal capacitor allocation in electrical distribution systems based on typical load profiles. In Transmission and distribution conference and exposition: Latin America IEEE/PES, pp. 441–447.

  • Badrzadeh, B., Smith, K. S., & Wilson, R. C. (2011). Designing passive harmonic filters for an aluminum smelting plant. IEEE Transactions on Industry Applications, 47(2), 973–983.

    Article  Google Scholar 

  • Baloi, A., Kocewiak, L., Bak, C. L., & Pana, A. (2012). Experimental determination of harmonic conditions amplification in a distribution network by capacitor bank switching. In 13th international conference on optimization of electrical and electronic equipment (OPTIM), pp. 194–199.

  • Carpinelli, G., Ferruzzi, G., & Russo, A. (2012). A heuristic multi-objective approach with trade off/risk analysis issues for passive harmonic filters planning II. Case study. In 8th Mediterranean conference, power generation, transmission, distribution and energy conversion (MEDPOWER 2012), pp. 1–7.

  • Chang, G. W., Chang, W. C., Chuang, C. S., & Shih, D. Y. (2011). Fuzzy logic and immune-based algorithm for placement and sizing of shunt capacitor banks in a distorted power network. IEEE Transactions on Power Delivery, 26(4), 2145–2153.

    Article  Google Scholar 

  • Chang, G. W., Wang, H. L., Chuang, G. S., & Chu, S. Y. (2009). Passive harmonic filter planning in a power system with considering probabilistic constraints. IEEE Transactions on Power Delivery, 24(1), 208–218.

    Article  Google Scholar 

  • Das, J. C. (2004). Passive filters—potentialities and limitations. IEEE Transactions on Industrial Electronics, 40(1), 232–241.

    Google Scholar 

  • Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197. (IEEE Press).

    Article  Google Scholar 

  • Eajal, A. E., & El-Hawary, M. E. (2010). Optimal capacitor placement and sizing in unbalanced distribution systems with harmonics consideration using particle swarm optimization. IEEE Transactions on Power Delivery, 25(3), 1734–1740.

    Article  Google Scholar 

  • Hong, Y. Y., & Chiu, C. S. (2010). Passive filter planning using simultaneous perturbation stochastic approximation. IEEE Transactions on Power Delivery, 25(2), 939–946.

    Article  Google Scholar 

  • Hong, Y. Y., & Liao, W. J. (2013). Optimal passive filter planning considering probabilistic parameters using cumulant and adaptive dynamic clone selection algorithm. International Journal of Electrical Power & Energy Systems, 45(1), 159–166.

    Article  Google Scholar 

  • IEEE Guide for the Protection of Shunt Capacitor Banks. (2013). IEEE Std C37.99-2012 (Revision of IEEE Std C37.99-2000), pp. 1–151.

  • IEEE recommended practices and requirements for harmonic control in electrical power systems (1993). IEEE Std 519-1992, pp. 1–112.

  • IEEE recommended practices and requirements for harmonic control in electrical power systems (2014). IEEE Std 519-2014, pp. 1–29.

  • IEEE task force on harmonics modeling and simulation, modeling and simulation of propagation of harmonics in electrical power systems–part I, concepts models and simulation techniques (1996). IEEE Transactions on Power Delivery, 11, 452–465.

  • IEEE task force on harmonics modeling and simulation, test systems for harmonics modeling and simulation (1999). IEEE Transactions on Power Delivery, 14(2), 579–587.

  • Mekhamer, S. F., El-Hawary, M. E., Moustafa, M. A., Mansour, M. M., & Soliman, S. A. (2002). State of the art in optimal capacitor allocation for reactive power compensation in distribution feeders. In Large engineering systems conference on power engineering, LESCOPE 02, pp. 61–75.

  • Nasiri, M., Rostami, M. & Fathi, S. H. (2010). Parallel and series harmonic resonance prevention by anti-resonance hybrid capacitor system for power factor correction. In 5th IEEE conference on industrial electronics and applications (ICIEA), pp. 1023–1027.

  • Nassif, A. B., Xu, W., & Freitas, W. (2009). An investigation on the selection of filter topologies for passive filter applications. IEEE Transactions on Power Delivery, 24(3), 1710–1718.

    Article  Google Scholar 

  • Shih, D. Y., Chang, G. W., Chuang, G. S., Wang, H. L., & Chu, S. Y. (2010). A fuzzy-based algorithm for shunt capacitor planning in a distorted power system. In 14th international conference on harmonics and quality of power (ICHQP), pp. 1–7.

  • Silverman, B. W. (1986). Density estimation for statistics and data analysis. London: Chapman and Hall.

    Book  MATH  Google Scholar 

  • Taher, S. A., Hasani, M., & Karimian, A. (2011). A novel method for optimal capacitor placement and sizing in distribution systems with nonlinear loads and DG using GA. Communications in Nonlinear Science and Numerical Simulation, 16(2), 851–862.

    Article  Google Scholar 

  • Taher, S. A., & Bagherpour, R. (2013). A new approach for optimal capacitor placement and sizing in unbalanced distorted distribution systems using hybrid honey bee colony algorithm. International Journal of Electrical Power & Energy Systems, 49, 430–448.

    Article  Google Scholar 

  • Van Veldhuizen, D. (1997). Multiobjective evolutionary algorithms: Classifications, analysis, and new innovations. Ph.D. Dissertation, Faculty of the Graduate School of Engineering, Air Force Institute of Technology, USA.

  • Zitzler, E., Laumanns, M., & Thiele, L. (2001). SPEA2: Improving the strength Pareto evolutionary algorithm. Zurich, Switzerland: Swiss Federal Institute Technology.

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  1. Department of Electrical Engineering, Instituto Federal do Maranhão (IFMA), São Luís, MA, 65030-000, Brazil

    Helton do Nascimento Alves

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  1. Helton do Nascimento Alves
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Correspondence to Helton do Nascimento Alves.

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Alves, H.N. Power Factor Correction and Harmonic Filtering Planning in Electrical Distribution Network. J Control Autom Electr Syst 27, 441–451 (2016). https://doi.org/10.1007/s40313-016-0247-1

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  • DOI: https://doi.org/10.1007/s40313-016-0247-1

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