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Information Journal Paper

Title

Optimal utilization of electric vehicles and DG resources in smart distribution system

Pages

  281-294

Abstract

 The widespread growing of the distributed generation (DG) and electric vehicles (EVs) in distribution networks could be a variety of challenges and opportunities for the electricity network. Despite of arising various technical and economic challenges in distribution networks, these two important events can provide opportunities as electrical energy resources. Accordingly, in this paper, a two-stage scheduling framework has been presented and investigated to manage a large number of electric vehicles in the presence of DGs firstly with the aim of increasing the profits of electric vehicles and DGs and ultimately aimed at reducing operating costs. The proposed scheduling framework is tested on a distribution network connected to 5 bus RBTS system. In order to solve the problem and choose the best solution the CPLEX optimization method is used. The results show that by proper management of electric vehicles and distributed generation resources as an efficient tool, the owners of electric vehicles, distributed generation resources and network all can benefit.

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  • Cite

    APA: Copy

    SHAFIEE, M., GHAZI, R., & MOEINI AGHTAIE, M.. (2019). Optimal utilization of electric vehicles and DG resources in smart distribution system. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 49(1 (87) ), 281-294. SID. https://sid.ir/paper/256561/en

    Vancouver: Copy

    SHAFIEE M., GHAZI R., MOEINI AGHTAIE M.. Optimal utilization of electric vehicles and DG resources in smart distribution system. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2019;49(1 (87) ):281-294. Available from: https://sid.ir/paper/256561/en

    IEEE: Copy

    M. SHAFIEE, R. GHAZI, and M. MOEINI AGHTAIE, “Optimal utilization of electric vehicles and DG resources in smart distribution system,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 1 (87) , pp. 281–294, 2019, [Online]. Available: https://sid.ir/paper/256561/en

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