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Multi-objective approach to maximise loadability of distribution networks by simultaneous reconfiguration and allocation of distributed energy resources

Multi-objective approach to maximise loadability of distribution networks by simultaneous reconfiguration and allocation of distributed energy resources

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In recent years, continuously increasing load demand and deficiency of capital resources vis-à-vis a competitive electricity market have forced transmission and distribution utilities worldwide to maximise the efficiency and utilisation of their existing infrastructure. This study presents a multi-objective approach to maximise the loadability of distribution networks by simultaneous reconfiguration and optimal allocation of distributed energy resources using a comprehensive teaching-learning-based optimisation algorithm. The proposed technique is based on the ɛ-constraints method and uses a graphical approach for network reconfiguration. Loadability enhancement is validated on the IEEE 33-bus and 69-bus radial distribution systems. Several case studies are carried out to demonstrate the effectiveness of the proposed approach in reducing the network active power losses, improving the kVA loading margins and enhancing the voltage profiles while considering voltage and thermal limit constraints. Results show that maximum loadability is obtained with simultaneous network reconfiguration and multiple DER allocation with varying power factors.

References

    1. 1)
      • 1. Rao, R. S., Ravindra, K., Satisk, K., et al: ‘Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 317325.
    2. 2)
      • 2. Ali, M., Dymarsky, A., Turitsyn, K.: ‘Transversality enforced Newton–Raphson algorithm for fast calculation of maximum loadability’, IET Gener. Transm. Distrib., 2018, 12, (8), pp. 17291737. doi: 10.1049/iet-gtd.2017.1273.
    3. 3)
      • 3. Tolabi, H.B., Ali, M.H., Rizwan, M.: ‘Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach’, IEEE Trans. Sustain. Energy, 2015, 6, (1), pp. 210218.
    4. 4)
      • 4. Abri, R.S.A., El-Saadany, E.F., Atwa, Y.M.: ‘Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 326334.
    5. 5)
      • 5. Ghanbari, N., Mokhtari, H., Bhattacharya, S.: ‘Optimizing operation indices considering different types of distributed generation in microgrid applications’, Energies, 2018, 11, p. 894.
    6. 6)
      • 6. Prada, R. B., Souza, L. J.: ‘Voltage stability and thermal limit: constraints on the maximum loading of electrical energy distribution feeders’, IEE Proc. Gener., Transm. Distrib., 1998, 145, (5), pp. 573577.
    7. 7)
      • 7. Moradi, M. H., Abedini, M.: ‘A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems’, Int. J. Electr. Power Energy Syst., 2012, 34, (1), pp. 6674.
    8. 8)
      • 8. Sivanagaraju, S., Vishali, N., Sankar, V., et al: ‘Enhancing voltage stability of radial distribution systems by network reconfiguration’, Electr. Power Compon. Syst., 2005, 33, (5), pp. 539550. DOI: 10.1080/15325000590505046.
    9. 9)
      • 9. Das, D.: ‘Maximum loading and cost of energy loss of radial distribution feeders’, Int. J. Electr. Power Energy Syst., 2004, 26, (4), pp. 307314.
    10. 10)
      • 10. Augugliaro, A., Dusonchet, L., Favuzza, S., et al: ‘A simple method to assess loadability of radial distribution networks’. 2005 IEEE Russia Power Tech, St. Petersburg, 2005, pp. 17.
    11. 11)
      • 11. Moghavvemi, M., Faruque, M. O.: ‘Technique for assessment of voltage stability in ill-conditioned radial distribution network’, IEEE Power Eng. Rev., 2001, 21, (1), pp. 5860.
    12. 12)
      • 12. Venkatesh, B., Ranjan, R., Gooi, H. B.: ‘Optimal reconfiguration of radial distribution systems to maximize loadability’, IEEE Trans. Power Syst., 2004, 19, (1), pp. 260266.
    13. 13)
      • 13. Juan, Y., Wenyuan, L., Wei, Y.: ‘Letter to the editor: a new line loadability index for radial distribution systems’, Electr. Power Compon. Syst., 2008, 36, (11), pp. 12451252.
    14. 14)
      • 14. Aman, M.M., Jasmon, G.B., Bakar, A.H.A., et al: ‘A new approach for optimum simultaneous multi-DG distributed generation units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm’, Energy, 2014, 66, pp. 202215.
    15. 15)
      • 15. Hsiao, Y. T., Chien, C. Y.: ‘Multiobjective optimal feeder reconfiguration’, IEE Proc. Gener., Transm. Distrib., 2001, 148, (4), pp. 333336. Doi: 10.1049/ip-gtd:20010024.
    16. 16)
      • 16. Aman, M.M., Jasmon, G.B., Bakar, A.H.A., et al: ‘Optimum network reconfiguration based on maximization of system loadability using continuation power flow theorem’, Int. J. Electr. Power Energy Syst., 2014, 54, pp. 123133.
    17. 17)
      • 17. Tyagi, A., Verma, A., Bijwe, P. R.: ‘Reconfiguration for loadability limit enhancement of distribution systems’, IET Gener. Transm. Distrib., 2018, 12, (1), pp. 8893.
    18. 18)
      • 18. Aman, M.M., Jasmon, G.B., Bakar, A.H.A., et al: ‘Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm’, IET Gener. Transm. Distrib., 2016, 10, (10), pp. 22772284.
    19. 19)
      • 19. Nuri, M., Miveh, M. R., Mirsaeidi, S., et al: ‘Distributed generation placement to maximize the loadability of distribution system using genetic algorithm’. 2012 Proc. of 17th Conf. on Electrical Power Distribution, Tehran, 2012, pp. 15.
    20. 20)
      • 20. Hien, N. C., Mithulananthan, N., Bansal, R. C.: ‘Location and sizing of distributed generation units for loadabilty enhancement in primary feeder’, IEEE Syst. J., 2013, 7, (4), pp. 797806.
    21. 21)
      • 21. Guerriche, K. R., Bouktir, T.: ‘Maximum loading point in distribution system with renewable resources penetration’. 2014 Int. Renewable and Sustain-able Energy Conf. (IRSEC), Ouarzazate, 2014, pp. 481486.
    22. 22)
      • 22. Zarei, M., Zangeneh, A.: ‘Multi-objective optimization model for distribution network reconfiguration in the presence of distributed generations’, Int. Trans. Electr. Energy Syst., 2017, 27, p. e2425. https://doi.org/10.1002/etep.2425.
    23. 23)
      • 23. Ali, I., Thomas, M. S., Kumar, P.: ‘Energy efficient reconfiguration for practical load combinations in distribution systems’, IET Gener. Transm. Distrib., 2015, 9, (11), pp. 10511060. Doi: 10.1049/iet-gtd.2014.0915.
    24. 24)
      • 24. Kumar, P., Ali, I., Thomas, M. S., et al: ‘Imposing voltage security and network radiality for reconfiguration of distribution systems using efficient heuristic and meta-heuristic approach’, IET Gener. Transm. Distrib., 2017, 11, (10), pp. 24572467. Doi: 10.1049/iet-gtd.2016.0935.
    25. 25)
      • 25. Fu, Y. Y., Chiang, H. D.: ‘Toward optimal multi-period network reconfiguration for increasing the hosting capacity of distribution networks’. IEEE Power and Energy Society General Meeting, Chicago, IL, USA, July 2017.
    26. 26)
      • 26. Zidan, A., El-Saadany, E. F.: ‘Effect of network configuration on maximum loadability and maximum allowable DG penetration in distribution systems’. 2013 IEEE Electrical Power & Energy Conf., Halifax, NS, 2013, pp. 16.
    27. 27)
      • 27. Quadri, I. A., Bhowmick, S., Joshi, D.: ‘A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems’, Appl. Energy, 2018, 211, pp. 12451260.
    28. 28)
      • 28. Deb, K.: ‘Multiobjective optimization using evolutionary algorithm’ (Wiley, Chichester, UK, 2001), ch. 3, pp. 4775.
    29. 29)
      • 29. Gözel, T., Hocaoglu, M. H.: ‘An analytical method for the sizing and siting of distributed generators in radial systems’, Electr. Power Syst. Res., 2009, 79, (6), pp. 912918.
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