Multi-Objective Optimization of Demand Side Management and Multi DG in the Distribution System with Demand Response

Document Type : Research paper

Authors

1 Department of Electrical Engineering, Faculty of Engineering, University of Urmia, Urmia, Iran

2 Faculty of Electrical and Computer Engineering, University of Urmia, Urmia, Iran

3 Electrical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

The optimal management of distributed generation (DG) enhances the efficiency of the distribution system; On the other hand, increasing the interest of customers in optimizing their consumption improves the performance of DG. This act is called demand side management. In this study, a new method based on the intelligent algorithm is proposed to optimal operate the demand side management in the presence of DG units and demand response. Firstly, the best location and capacity of different technologies of DG are selected by optimizing the technical index including the active and reactive loss and the voltage profile. Secondly, the daily performance of multi-DG and grid is optimized with and without considering the demand response. The economic and environmental indices are optimized in this step. In both steps, the non-dominated sorting firefly algorithm is utilized to multi-objective optimize the objective functions and then the fuzzy decision-making method is used to select the best result from the Pareto optimal solutions. Finally, the proposed method is implemented on the IEEE 33-bus distribution system and actual 101-bus distribution systems in Khoy-Iran. The obtained numerical results indicate the impact of the proposed method on improving the technical, economic and environmental indices of the distribution system.

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Main Subjects

References

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Journal of Operation and Automation in Power Engineering
Volume 6, Issue 2
December 2018
Pages 230-242

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History

  • Receive Date: 15 November 2017
  • Revise Date: 17 February 2018
  • Accept Date: 20 May 2018
  • First Publish Date: 01 December 2018

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