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Hybrid AC/DC microgrid planning

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  • Lotfi, Hossein
  • Khodaei, Amin

Abstract

The traditional approach to design and deploy microgrids has been mainly focused on ac systems. DC microgrids, however, are gaining attention due to numerous advantages they provide over ac microgrids, such as removing the need for synchronization and frequency adjustment as well as appropriateness in supporting dc loads and distributed energy resources (DERs). Moreover, considering that both ac and dc DERs are utilized in microgrids, hybrid microgrids would provide viable and economic solutions as they can potentially eliminate the need for ac-to-dc or dc-to-ac conversions. This paper proposes a hybrid microgrid planning model with the objective of minimizing the microgrid total planning cost, which includes the DERs investment and operation costs, the converters investment cost, the cost of energy purchase from the utility, and the reliability cost. The solution of the proposed model determines the optimal DER size and generation mix, the point of connection of DERs, and the type of each feeder, i.e., ac or dc. Moreover, it identifies threshold ratios of ac/dc loads at each feeder causing one type of feeder to be more economical than the other. Numerical simulations exhibit the merits of the proposed model by analyzing the sensitivity of solutions on various decisive planning factors.

Suggested Citation

  • Lotfi, Hossein & Khodaei, Amin, 2017. "Hybrid AC/DC microgrid planning," Energy, Elsevier, vol. 118(C), pages 37-46.
    • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:37-46
    DOI: 10.1016/j.energy.2016.12.015
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    1. Zidan, Aboelsood & Gabbar, Hossam A. & Eldessouky, Ahmed, 2015. "Optimal planning of combined heat and power systems within microgrids," Energy, Elsevier, vol. 93(P1), pages 235-244.
    2. Prodan, Ionela & Zio, Enrico & Stoican, Florin, 2015. "Fault tolerant predictive control design for reliable microgrid energy management under uncertainties," Energy, Elsevier, vol. 91(C), pages 20-34.
    3. Zachar, Michael & Daoutidis, Prodromos, 2015. "Understanding and predicting the impact of location and load on microgrid design," Energy, Elsevier, vol. 90(P1), pages 1005-1023.
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