Optimal multi-objective placement and sizing of multiple DGs and DSTATCOMs via MOPSO

  • Ali Moghtadaei Esfahan Electric Power Distribution Company (EEPDC)
  • Mohammad Hosein Vafaee
Keywords: radial distribution system, distribution static synchronous compensator (DSTATCOM), multi-objective particle swarm optimization algorithm (MOPSO), fuzzy-based mechanism

Abstract

This paper proposes a new application with the aim of determining the optimum Distribution Static Compensator (DSTATCOM) capacity and location in radial distribution systems. In the process of optimization, the presence of distributed generations (DGs) is also considered as a constant source of active power production with various compounds. Optimization includes three functions of reducing the total power losses, improving the voltage profile and minimizing the cost of installation of DSTATCOM. To solve this problem, multi-objective particle swarm optimization algorithm (MOPSO) has been used. This method uses Pareto optimal solutions to solve the problem. In addition, a fuzzy-based mechanism is employed to extract the best solution among three different objective functions. The proposed method has been implemented on the IEEE 33 bus radial distribution system (RDS) and the results obtained by the proposed method are compared with the other existing technique

 

References

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Published
2018-10-09
How to Cite
Moghtadaei, A., & Vafaee, M. H. (2018). Optimal multi-objective placement and sizing of multiple DGs and DSTATCOMs via MOPSO. Majlesi Journal of Energy Management, 6(2), 35-40. Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/336
Section
Articles