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Economic based evaluation of DGs in capacitor allocated optimal distribution network

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Języki publikacji
EN
Abstrakty
EN
Feeder reconfiguration (FR), capacitor placement and sizing (CPS) are the two renowned methods widely applied by the researchers for loss minimization with node voltage enrichment in the electrical distribution network (EDN), which has an immense impact on economic savings. In recent years, optimization of FR and CPS together can proficiently yield better power loss minimization and save costs compared to the individual optimization of FR and CPS. This work proposes an application of an improved salp swarm optimization technique based on weight factor (ISSOT-WF) to solve the cost-based objective function using CPS with and without FR for five different cases and three load levels, subject to satisfying operating constraints. In addition, to ascertain the impact of real power injection on additional power loss reduction, this work considers the integration of dispersed generation units at three optimal locations in capacitive compensated optimal EDN. The effectiveness of ISSOT-WF has been demonstrated on the standard PG&E-69 bus system and the outcomes of the 69-bus test case have been validated by comparing with other competing algorithms. Using FR and CPS at three optimal nodes and due to power loss reduction, cost-saving reached up to a maximum of 71%, and a maximum APLR of 26% was achieved after the installation of DGs at three optimal locations with the significant improvement in the bus voltage profile.
Rocznik
Strony
art. no. e139053
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
  • Department of Electrical & Electronics Engineering, SASURIE College of Engineering, Vijayamangalam-638056, Tirupur, India (Affiliated to Anna University, Chennai, India)
autor
  • Department of Electrical & Electronics Engineering, KSRM College of Engineering, Yerramasupalli, Kadappa – 516003, Andhra Pradesh, India
  • Department of Electrical & Electronics Engineering, KSRM College of Engineering, Yerramasupalli, Kadappa – 516003, Andhra Pradesh, India
Bibliografia
  • [1] K. Muthukumar and S. Jayalalitha, “Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique”, Int. J. Electr. Power Energy Syst., vol. 78, pp. 299–319, 2016, doi: 10.1016/j.ijepes.2015.11.019.
  • [2] M.V.L. Kumar, S.K. Bilgundi, and H. Pradeepa, “Optimal allocation of DG units in distribution system considering variation in active power load”, Arch. Elect. Eng., vol. 68, no. 2, pp. 265–277, 2019, doi: 10.24425/aee.2019.128267.
  • [3] A. Landeros, S. Koziel, and M.F. Abdel-Fattah, “Distribution network reconfiguration using feasibility-preserving evolutionary optimization”, J. Mod. Power Syst. Clean Energy, vol. 7, pp. 589–598, 2019, doi: 10.1007/s40565-018-0480-7.
  • [4] M. Kannan et al., “Meta-heuristic BPSO based voltage profile enhancement in radial distribution system through network reconfiguration”, Int. J. Emerging Electr. Power Syst., vol. 20, no. 6, p. 20190110(1–14), 2019, doi: 10.1515/ijeeps-2019-0110.
  • [5] T.T. Nguyen, T.T. Nguyen, and N.A. Nguyen, “optimal network reconfiguration to reduce power loss using an initial searching point for continuous genetic algorithm”, J. Complexity, vol. 2020, p. 2420171(1–21), 2020, doi: 10.1155/2020/2420171.
  • [6] H. Karimianfard and H. Haghighat, “An initial-point strategy for optimizing distribution system reconfiguration”, Electr. Power Syst. Res., vol. 176, p. 105943(1–8), 2019, doi: 10.1016/j.epsr.2019.105943.
  • [7] W. Gil-González, O.D. Montoya, A. Rajagopalan, L.F. Grisales-Noreña, and J.C. Hernández, “Optimal selection and location of fixed-step capacitor banks in distribution networks using a discrete version of the Vortex search algorithm”, Energies, vol. 13, no.18, p. 4914(1–21), 2020, doi: 10.3390/ en13184914.
  • [8] I.P. Abril, “Capacitor placement by variables’ inclusion and interchange improved algorithm”, Int.Trans.Electr. Energy Syst., vol. 30, no. 6, p. e12377(1–19), 2020, doi: 10.1002/2050-7038.12377.
  • [9] S.K. Sampangi and T. Jayabarathi, “Optimal capacitor allocation in distribution networks for minimization of power loss and overall cost using water cycle algorithm and grey wolf optimizer”, Int. Trans. Electr. Energy Syst., vol.30, no. 5, pp. 1–32, 2020, doi: 10.1002/2050-7038.12320.
  • [10] A. Jafari et al., “A Two-loop hybrid method for optimal placement and scheduling of switched capacitors in distribution networks”, IEEE Access, vol. 8, pp. 38892–38906, 2020, doi: 10.1109/ACCESS.2020.2975714.
  • [11] A.N. Hussain, W.K.S. Al-Jubori, and H.F. Kadom, “Hybrid design of optimal capacitor placement and reconfiguration for performance improvement in a radial distribution system”, J. Eng., vol. 2019, p. 1696347(1–15), 2019, doi: 10.1155/2019/1696347.
  • [12] D.S. Rani, N. Subrahmanyam, and M. Sydulu, “Network reconfiguration and capacitor placement for optimal operation of radial distribution system”, Turk. J. Eng. Sci. Technol., vol. 4, pp. 173–187, 2014.
  • [13] H.F. Kadom, A.N. Hussain and W.K.S. Al-Jubori, “Dual technique of reconfiguration and capacitor placement for distribution system”, Int. J. Electr. Comput. Eng. (IJECE), vol. 10, no. 1), pp. 80–90, Feb. 2020 , doi: 10.11591/ijece.v10i1.pp80-90.
  • [14] M.R. Askari, “A new optimization framework to solve the optimal Feeder reconfiguration and capacitor placement problems”, J. Sci. Technol. Res., vol. 4, no. 7, pp. 23–9, July 2015.
  • [15] S. Nawaz, A. Bansal, and M.P. Sharma, “An analytical approach for DG placement in reconfigured distribution networks”, Int. J. Appl. Power Eng., vol. 5, no. 3, pp. 137–143, 2016, doi: 10.11591/ijape.v5.i3.pp137-143.
  • [16] G. Srinivasan and S. Visalakshi, “Assessment of power loss minimization via optimal allocation of DGs with Network Reconfiguration in Radial Distribution Network considering load Levels”, J. Adv. Res. Dyn. Control Syst., vol. 10, no. 12, pp. 56–65, 2018.
  • [17] M. Ramesh Babu, C.V. Kumar, and S. Anitha, “Simultaneous reconfiguration and optimal capacitor placement using adaptive whale optimization algorithm for radial distribution system”, J. Electr. Eng. Technol., vol. 16, pp. 181–190, 2021, doi: 10.1007/s42835-020-00593-5.
  • [18] J. Shanmugapriyan, N. Karuppiah, S. Muthubalaji, and S. Tamilselvi, “Optimum placement of multi type DG units for loss reduction in a radial distribution system considering the distributed generation suitability index using evolutionary algorithms”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 66, no. 3, pp. 345–54, 2018, doi: 10.24425/123441.
  • [19] R.J.C. Gallano and A.C. Nerves, “Multi-objective optimization of distribution network reconfiguration with capacitor and distributed generator placement”, in proc. IEEE Region 10 Conference (TENCON 2014), Bangkok, Thailand, 2014, pp. 22–25, doi: 10.1109/TENCON.2014.7022365.
  • [20] M. Mohammadi, A.M. Rozbahani, and S. Bahmanyar, “Power loss reduction of distribution systems using BFO based optimal reconfiguration along with DG and shunt capacitor placement simultaneously in fuzzy framework”, J. Cent. South Univ., vol. 24, pp. 90–103, 2017, doi: 10.1007/s11771-017-3412-1.
  • [21] P.P. Biswas, P.N. Suganthan, and G.A.J. Amaratunga, “Distribution network reconfiguration together with distributed generator and Shunt capacitor allocation for loss minimization”, in Proc. IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 8–13 July 2018, doi: 10.1109/CEC.2018.8477894.
  • [22] B. Venkatesh and R. Ranjan, “Data structure for radial distribution load flow analysis”, IEE Proc. Gener. Transm. and Distrib., vol. 150, no. 1, pp.101–106, 2003, doi: 10.1049/ip-gtd:20030013.
  • [23] S. Mirjalili et al., “Salp swarm algorithm: a bio-inspired optimizer for engineering design problems”, Adv. Eng. Software, vol. 114, pp. 163–91, 2017, doi: 10/1016/j.advengsoft.2017.07.002.
  • [24] J. Wu, R. Nan, and L. Chen, “Improved salp swarm algorithm based on weight factor and adaptive mutation”, J. Exp. Theor. Artif. Intell., vol. 31, no. 3, pp. 493–515, 2019, doi: 10/1080/0952813X.2019.1572659.
  • [25] N. Kanwar et al., “Genetic algorithm based method for capacitor placement using new sensitivity based approach”, in proc 18th National Power Systems Conf. (NPSC), Guwahati, India, 2014, pp. 1–6, doi: 10.1109/NPSC.2014.7103784.
  • [26] S. Kumar, K.K. Mandal, and N. Chakraborty, “A novel opposition-based tuned-chaotic differential evolution technique for techno-economic analysis by optimal placement of distributed generation”, Eng. Optim., vol. 52, no. 2, pp. 1–22, 2020, doi: 10.1080/ 0305215X.2019.1585832.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-991cc0f2-385e-49d8-95da-d86351dd5901
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