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Optimal Allocation of Photovoltaic Based and DSTATCOM in a Distribution Network under Multi Load Levels

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  • Montaser Abd El Sattar Mohamed
  • Adel A. Elbaset Mohammed
  • Amal Mohamed Abd Elhamed
  • Mohamed Ebeed Hessean

Abstract

In this paper, the optimal sitting and sizing of photovoltaic (PV) based distributed generator (DG) and distribution static synchronous compensator (DSTATCOM) are assigned separately and simultaneously under multi-load levels in radial distribution grid. Grey wolf optimizer (GWO) is an efficient optimization technique which is applied for solving the allocation problem of PV based DG and DSTATCOM in standard IEEE 85 bus distribution system. Six load levels are considered including 25%, 50%, 75%, 100%, 125 % and 150% of rated loading for power loss minimization. Encourage results are obtained with inclusion of PV based DG or DSTATCOM in addition of that the superior case are captured with inclusion of PV units along with DSTATCOM in terms of the power losses minimization. Moreover, the simulation results verify the applicability and efficiency of GWO technique for solving the allocation problem of PV and DTSTACOM

Suggested Citation

  • Montaser Abd El Sattar Mohamed & Adel A. Elbaset Mohammed & Amal Mohamed Abd Elhamed & Mohamed Ebeed Hessean, 2019. "Optimal Allocation of Photovoltaic Based and DSTATCOM in a Distribution Network under Multi Load Levels," European Journal of Engineering and Technology Research, European Open Science, vol. 4(8), pages 114-119, August.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:8:id:61456
    DOI: 10.24018/ejeng.2019.4.8.1456
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    1. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2015. "A review of distribution static compensator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 531-546.
    2. Sirjani, Reza & Rezaee Jordehi, Ahmad, 2017. "Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 688-694.
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