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A new perspective in power loss reduction of ninety two buses integrated D-STATCOM

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Warianty tytułu
PL
Nowe perspektywy w redukcji strat mocy w sieci zintegrowanej z D-STATCOM
Języki publikacji
EN
Abstrakty
EN
The electrical energy demand continues to increase along with the rapid development of technology and population growth. Fulfilling the electricity supply is a challenge for the operation of the electric power system since the construction of distribution and transmission infrastructures require large costs and such long time process. The complexity of the power distribution system itself may affect the voltage deviation and power loss parameters. The more complex of the distribution system was configured the more critical impacts on those disturbance parameters encountered entire the power network. The main contribution in this research is exploring on 99 bus context with D-STATCOM injection to increase the voltage profile, reducing the total active power loss and optimal size of D-STATCOM using the Optimal Power Flow (OPF) method for load flow analysis and Particle Swarm Optimization (PSO) in optimizing total loss active power and size of D-STATCOM on a radial distribution network system. This study aims to improve the distribution network performance in terms of the voltage profile, the total active power loss through optimal D-STATCOM placement. Optimization uses the Optimal Power Flow (OPF) method based on Particle Swarm Optimization (PSO). The proposed algorithm is calculated numerically for the North Makassar distribution system with ninety two buses included a network pattern open-loop radial configuration and the total load reaches 4.914 MW. The optimized computation algorithm result a minimum voltage profile of up to 0.73%, an average voltage profile up 0.8% or 4kV and a minimum total active power loss around 10.53%.
PL
Celem artykułu jest poprawa parametrów sieci przez optymalizację położenia układu D-STATCOM oraz zastosowanie metody OPF (optymalny przepływ mocy) z wykorzystaniem algorytmów rojowych PS. Zaproponowany algorytm jest obliczony numerycznie dla regionu North Makasar w Algerii. Uzyskano poprawę jakości napięcia I minimum mocy biernej.
Rocznik
Strony
53--57
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
  • Department of Electrical Engineering, Hasanuddin University, Indonesia
Bibliografia
  • [1] Reza Sirjani, Ahmad Rezaee Jordehi, Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review , Renewable and Sustainable Energy Reviews, 77 (2017) 688–694
  • [2] A. Bayat, A. Bagherib, Optimal active and reactive power allocation in distribution networks using a novel heuristic approach, Applied Energy 233–234 (2019) 71–85
  • [3] T.Yuvaraj, K.R.Devabalaji, K.Ravi, Optimal placement and sizing of DSTATCOM using Harmony Search algorithm ,Energy Procedia 79 ( 2015 ) 759 – 765
  • [4] B.Muruganantham, R.Gananadass, N.P.Padhy, Reactive Power Reallocation in the Distribution System with DSTATCOM , 1st International Conference on Power Engineering, Computing and CONtrol (PECCON) VIT University, Chennai Campus, Energy Procedia 117 (2017) 485- 492.
  • [5] P. Bapaiah, Power Quality Improvement by using DSTATCOM, International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 4, April-2013.
  • [6] Gupta, A.R. and A. Kumar, Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth. Ain Shams Engineering Journal, 2018. 9(4): p. 783-799
  • [7] Vinay M. Awasthi , V. A. Huchche , Reactive Power Compensation using D-STATCOM , IEEE 978-1-4673-9925- 8/16/$31.00 ©2016
  • [8] Atma Ram Gupta, Effect of optimal allocation of multiple DG and DSTATCOM in radial distribution system for minimising losses and THD, IEEE 978-1-5386-3032-7/17/$31.00 ©2017
  • [9] Jordan Radosavljević, Miroljub Jevtić, Dardan Klimenta, Nebojša Arsić , Optimal Power Flow for Distribution Networks with Distributed Generation, Serbian Journal of Electrical Engineering, Vol. 12, No. 2, June 2015, 145-170
  • [10] S. Devi, M. Geethanjali, “Optimal location and sizing determination of Distributed Generation and D-STATCOM using Particle Swarm Optimization algorithm, Electrical Power and Energy Systems 62 (2014) 562–570
  • [11] Meenu Jayamohan, Bindumol E K, Babu C A, Voltage Stability Enhancement of Radial Distribution System by Optimal Placement of DG and D-STATCOM, International Conference on Recent Trends in Engineering, Science & Technology - (ICRTEST 2016), pp.1-6
  • [12] T.S. Tawfeek, A.H. Ahmed, S. Hasan, Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks, 5th International Conference on Energy and Environment Research, ICEER 2018 ; Energy Procedia 153 (2018) 86-94.
  • [13] Yuvaraj and K. Ravi ; Multi-objective simultaneous DG and D-STATCOM allocation in radial distribution networks using Cuckoo Searching Algorithm, Alexandria Engineering Journal (2018) 57, 2729–2742;
  • [14] Yuvaraj Thangaraj, Ravi Kuppan, Multi-objective Simultaneous Placement of DG and D-STATCOM Using Novel Lightning Search Algorithm, Journal of Applied Research and Technology 15 (2017) 477–491
  • [15] T. Yuvaraj *, K. Ravi, K.R. Devabalaji, D-STATCOM allocation in distribution networks considering load variations using bat algorithm , Ain Shams Engineering Journal (2017) 8, 391–403.
  • [16] T.Anil Kumar, L.Shanmukha Rao, Improvement of Power Quality of Distribution System using ANN-LMBNN based DSTATCOM, International Conference on Innovations in Power and Advanced Computing Technologies
  • [i-PACT2017], IEEE 978-1-5090-5682-8 /17/$31.00 ©2017.
  • [17] Z Muslimin, A Suyuti, E Palantei, Indrabayu, I C Gunadin, Reactive power injection at the North Makassar distribution system with D-STATCOM, International Symposium on Material Electrical Engineering (ISMEE), IOP Conf. Series: Material Science and Engineering 850 (2020) 012009.
  • [18] E. Mohagheghi, M. Alramlawi, A. Gabash and P. Li, A Survey of Real-Time Optimal Power Flow, MDPI, Germany, 2018.
  • [19] A.V. Kylymchuk, O.E. Rubanenko, V.V. Teptia, O.V.S.M. Kozhamberdiyeva, K. Gromaszek, N. Askarova, Control of power flow and voltage in parallel working electrical GRIDS, Przegląd Elektrotechniczny, str (2017), nr 104307, 90-94.
  • [20] S. Singh and K. S. Verma, Artificial Intelligence Techniques for Multi objective Optimum Power Flow with Valve Point Loading Incorporating SVC, International Journal of Recent Development in Engineering and Technology, vol. 4, no. 6, pp. 41-48, 2015.
  • [21] D.B. Prakash, C. Lakshminarayana, Multiple DG Placements in Distribution System for Power Loss Reduction Using PSO Algorithm, Global Colloquium in Recent Advancement and Effectual Researches in Engineering, Science and Technology (RAEREST 2016), Procedia Technology 25 ( 2016 ) 785 – 792
  • [22] T. R. Alsenani, Optimal Power Flow Problem in Distribution Networks: A Comprehensive Background, Methodologies and Analysis, The University of Sydney, Sydney, 2018.
  • [23] Yan HE, Wei Jin Ma, dan Ji Ping Zhang, The Parameters Selection of PSO Algorithm Influencing on Performance of Fault Diagnosi, MATEC Web of Conferences, 2016, 63.
  • [24] Pavleka Josip , Nikolovski Srete, Stojkiv Marinko, Finding Optimal Location of FACTS device for dynamic Reactive Power Compensatian Using Genetic Algorithm and Particle Swarm Optimisation , Przegląd Elektrotechniczny, 95 (2019), nr 8, 86- 91
  • [25] B. Bakhshideh Zad, H. Hasanvand, J. Lobry, F. Vallée; Optimal reactive power control of DGs for voltage regulation of MV distribution systems using sensitivity analysis method and PSO algorithm, Electrical Power and Energy Systems 68 (2015) 52–60
  • [26] A.H. Ahmed, S.Hasan, Optimal allocation of distributed geberation units for converting conventional radial distribution system to loop using particle swarm optimimization. 5th International Conference on Energy and Environment Research, ICEER 2018, Energy Procedia 153 (2018) 118–124.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1b3f3d31-7dd4-4658-9f99-88c33842921a
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