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Volume 17, Issue 10
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

This article presents a novel strategy that utilizes the nature-inspired Spotted Hyena Optimizer Algorithm (SHOA) to optimize the placement of solar and wind-based renewable distributed generation (RDG) and distribution static compensators (DSTATCOMs) in radial distribution systems (RDS).

Methods

The proposed technique aims to determine the optimal locations of DSTATCOM and RDGs based on the loss sensitivity factor (LSF), while the appropriate sizes are determined using the newly developed SHOA. To facilitate efficient load flow calculations, a fast and effective backward/forward sweep algorithm (BFSA) is employed.

Results

The primary objective of this method is to minimize overall power losses within the system. The effectiveness of the optimization approach based on SHOA is demonstrated through extensive simulations conducted on a standard IEEE 33-bus test system with diverse load models.

Conclusion

The results of the simulations and comparisons of multiple case studies clearly indicate that the allocation of DSTATCOMs leads to significant reductions in power losses and improvements in voltage profiles.

© 2024 Bentham Science Publishers
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/content/journals/raeeng/10.2174/0123520965267223231030194325
2023-11-10
2025-05-11

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References

  1. AttiaA. EI-Fergany: Optimal capacitor allocations using evolutionary algorithms.IET Gener. Transm. Distrib.2013Feb593601
     [Google Scholar]
  2. YuvarajT. RaviK. Multi-objective simultaneous DG and DSTATCOM allocation in radial distribution networks using cuckoo searching algorithm.Alex. Eng. J.20185742729274210.1016/j.aej.2018.01.001
     [Google Scholar]
  3. YuvarajT. DevabalajiK.R. RaviK. Optimal placement and sizing of DSTATCOM using harmony search algorithm.Energy Procedia20157975976510.1016/j.egypro.2015.11.563
     [Google Scholar]
  4. YuvarajT. DevabalajiK.R. SrinivasanS. PrabaharanN. HariharanR. Haes AlhelouH. AshokkumarB. Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using Blockchain technology and Bat Algorithm.Energy Rep.202178312832110.1016/j.egyr.2021.08.184
     [Google Scholar]
  5. DevabalajiK.R. RaviK. Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using bacterial foraging optimization algorithm.Ain Shams Eng. J.20167395997110.1016/j.asej.2015.07.002
     [Google Scholar]
  6. KrishnamoorthyM. PeriyanayagamA.D.V.R. Santhan KumarC. Praveen KumarB. SrinivasanS. KathiravanP. Optimal sizing, selection, and techno-economic analysis of battery storage for PV/BG-based hybrid rural electrification system.J. Inst. Electron. Telecommun. Eng.20226864061407610.1080/03772063.2020.1787239
     [Google Scholar]
  7. SrilakshmiK. SujathaC.N. BalachandranP.K. Mihet-PopaL. KumarN.U. "Optimal design of an artificial intelligence controller for solar-battery integrated UPQC in three phase distribution networks", sustainability202214211399210.3390/su142113992
     [Google Scholar]
  8. AljafariB. BalachandranP.K. SamithasD. ThanikantiS.B. Solar photovoltaic converter controller using opposition-based reinforcement learning with butterfly optimization algorithm under partial shading conditions.Environ. Sci. Pollut. Res. Int.20233028726177264010.1007/s11356‑023‑27261‑1 37173605
     [Google Scholar]
  9. AljafariB. D. S, B. C, P.K. Balachandran, and T.S. Babu, “Power enhanced solar PV array configuration based on calcudoku puzzle pattern for partial shaded PV system”.Heliyon202395e1604110.1016/j.heliyon.2023.e16041 37215765
     [Google Scholar]
  10. YuvarajT. RaviK. DevabalajiK.R. DSTATCOM allocation in distribution networks considering load variations using bat algorithm.Ain Shams Eng. J.20178339140310.1016/j.asej.2015.08.006
     [Google Scholar]
  11. Bagheri TolabiH. AliM.H. RizwanM. Simultaneous reconfiguration, optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach.IEEE Trans. Sustain. Energy20156121021810.1109/TSTE.2014.2364230
     [Google Scholar]
  12. GuptaA.R. KumarA. Energy savings using D-STATCOM placement in radial distribution system.Procedia Comput. Sci.20157055856410.1016/j.procs.2015.10.100
     [Google Scholar]
  13. ThanikantiS.B. P.K. B, D. S, B. Aljafari, and I. Colak, “A dynamic mismatch loss mitigation algorithm with dual input dual output converter for solar PV systems”.Sol. Energy Mater. Sol. Cells202325111216310.1016/j.solmat.2022.112163
     [Google Scholar]
  14. SirjaniR. Rezaee JordehiA. Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review.Renew. Sustain. Energy Rev.20177768869410.1016/j.rser.2017.04.035
     [Google Scholar]
  15. Rezaeian MarjaniS. TalavatV. GalvaniS. Optimal allocation of D-STATCOM and reconfiguration in radial distribution network using MOPSO algorithm in TOPSIS framework.Int. Trans. Electr. Energy Syst.2019292e272310.1002/etep.2723
     [Google Scholar]
  16. MontoyaO.D. ChamorroH.R. Alvarado-BarriosL. Gil-GonzálezW. Orozco-HenaoC. Genetic-convex model for dynamic reactive power compensation in distribution networks using D-STATCOMs.Appl. Sci.2021118335310.3390/app11083353
     [Google Scholar]
  17. SinghD. SinghD. VermaK.S. Multiobjective optimization for DG planning with load models.IEEE Trans. Power Syst.200924142743610.1109/TPWRS.2008.2009483
     [Google Scholar]
  18. YousriD. FathyA. RezkH. BabuT.S. BerberM.R. A reliable approach for modeling the photovoltaic system under partial shading conditions using three diode model and hybrid marine predators-slime mould algorithm.Energy Convers. Manage.202124311426910.1016/j.enconman.2021.114269
     [Google Scholar]
  19. SarikaK. NoelS. "Unbalanced distribution power flow with distributed generation", Proceedings of the IEEE transmission and distribution conferenceDallas, USA2006301306
     [Google Scholar]
  20. PrakashK. SyduluM. "Particle swarm optimization based capacitor placement on radial distribution systems", Proceedings of IEEE Power Engineering Society General MeetingTampa, FL, USA 24-28 June20071510.1109/PES.2007.386149
     [Google Scholar]
  21. DhimanG. KumarV. Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications.Adv. Eng. Softw.2017114487010.1016/j.advengsoft.2017.05.014
     [Google Scholar]
  22. FabbriniA. GarulliA. MercorelliP. A trajectory generation algorithm for optimal consumption in electromagnetic actuators.IEEE Trans. Control Syst. Technol.20122041025103210.1109/TCST.2011.2159006
     [Google Scholar]
  23. RamadeviA. SrilakshmiK. BalachandranP.K. ColakI. DhanamjayuluC. KhanB. Optimal design and performance investigation of artificial neural network controller for solar- and battery-connected unified power quality conditioner.Int. J. Energy Res.2023202312210.1155/2023/3355124
     [Google Scholar]
  24. MercorelliP. "A switching Kalman Filter for sensorless control of a hybrid hydraulic piezo actuator using MPC for camless internal combustion engines", 2012 IEEE International Conference on Control ApplicationsDubrovnik, Croatia, 03-05 Oct201298098510.1109/CCA.2012.6402717
     [Google Scholar]
  25. SahooN.C. PrasadK. A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems.Energy Convers. Manage.20064718-193288330610.1016/j.enconman.2006.01.004
     [Google Scholar]
  26. JamaludinM.N.I. TajuddinM.F.N. AhmedJ. AzmiA. AzmiS.A. GhazaliN.H. BabuT.S. AlhelouH.H. An effective salp swarm based MPPT for photovoltaic systems under dynamic and partial shading conditions.IEEE Access20219345703458910.1109/ACCESS.2021.3060431
     [Google Scholar]
  27. JainA. "An efficient method for D-STATCOM placement in radial distribution system", IEEE 6th India International Conference on Power Electronics (IICPE)Kurukshetra, India, 08-10 Dec,2014
     [Google Scholar]
/content/journals/raeeng/10.2174/0123520965267223231030194325
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Solar and Wind-based Renewable DGs and DSTATCOM Allotment in Distribution System with Consideration of Various Load Models Using Spotted Hyena Optimizer Algorithm
Recent Advances in Electrical & Electronic Engineering 17, 976 (2024); https://doi.org/10.2174/0123520965267223231030194325
/content/journals/raeeng/10.2174/0123520965267223231030194325
/content/journals/raeeng/10.2174/0123520965267223231030194325
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  • Article Type:     Research Article
Keyword(s): Distribution static compensator (DSTATCOM); incircling prey; loss sensitivity factor (LSF); radial distribution systems (RDS); renewable distributed generation (RDG); spotted hyena optimizer algorithm (SHOA)

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