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Optimal placement of distributed generations considering voltage stability and power losses with observing voltage-related constraints

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  • Esmaili, Masoud
  • Firozjaee, Esmail Chaktan
  • Shayanfar, Heidar Ali

Abstract

Distributed Generations (DGs) can be an efficient solution to today’s power system environmental and economical challenges. Installing DGs influences power system stability and losses. In this paper, a method is presented for locating and sizing of DGs to enhance voltage stability and to reduce network losses simultaneously. First, vulnerable buses from voltage stability point of view are determined using bifurcation analysis as the best locations to install DGs. Number of DGs is so chosen that system voltage profile is brought into the given permissible voltage security limits. Then, the global optimal size of DGs is determined employing the dynamic programming search method. It is shown that considering DG reactive limits makes different voltage stability bifurcations happen and it affects the optimal location, size, and number of DGs. Results of testing the proposed method and previous methods on a 34-bus distribution test system are discussed in detail and they show the efficiency of the proposed method.

Suggested Citation

  • Esmaili, Masoud & Firozjaee, Esmail Chaktan & Shayanfar, Heidar Ali, 2014. "Optimal placement of distributed generations considering voltage stability and power losses with observing voltage-related constraints," Applied Energy, Elsevier, vol. 113(C), pages 1252-1260.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1252-1260
    DOI: 10.1016/j.apenergy.2013.09.004
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    References listed on IDEAS

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    1. Ghadikolaei, Hadi Moghimi & Tajik, Elham & Aghaei, Jamshid & Charwand, Mansour, 2012. "Integrated day-ahead and hour-ahead operation model of discos in retail electricity markets considering DGs and CO2 emission penalty cost," Applied Energy, Elsevier, vol. 95(C), pages 174-185.
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    3. Niknam, Taher & Taheri, Seyed Iman & Aghaei, Jamshid & Tabatabaei, Sajad & Nayeripour, Majid, 2011. "A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4817-4830.
    4. Gitizadeh, Mohsen & Vahed, Ali Azizi & Aghaei, Jamshid, 2013. "Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms," Applied Energy, Elsevier, vol. 101(C), pages 655-666.
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