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Private investor-based distributed generation expansion planning considering uncertainties of renewable generations

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  • Barati, Fatemeh
  • Jadid, Shahram
  • Zangeneh, Ali

Abstract

Distributed generation expansion planning (DGEP) is one of the most important types of planning in power distribution networks. Most of the previous studies associated with the DGEP problem have been performed from the viewpoint of network owner, while the investment, sizing and siting of Distributed Generations (DGs) are mostly taken by the private sector. Therefore, DGEP problem in the viewpoint of private investors should be taken into special consideration. In this paper, attempts are made to propose a model for DGEP problem based on the private investor's viewpoint to meet their objectives and also, take the technical constraints of the distribution network into account, at the same time. In this light, the uncertainties of the renewable DGs have also been considered in the problem and the Hong's Two Point Estimate Method (HTPEM) is used to provide a solution for probabilistic load flow problem. The method presented in this paper has been applied to the modified 18-bus distribution network which has been derived from the 30-bus IEEE system.

Suggested Citation

  • Barati, Fatemeh & Jadid, Shahram & Zangeneh, Ali, 2019. "Private investor-based distributed generation expansion planning considering uncertainties of renewable generations," Energy, Elsevier, vol. 173(C), pages 1078-1091.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:1078-1091
    DOI: 10.1016/j.energy.2019.02.086
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    References listed on IDEAS

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    1. Siddiqui, Afzal S. & Maribu, Karl, 2009. "Investment and upgrade in distributed generation under uncertainty," Energy Economics, Elsevier, vol. 31(1), pages 25-37, January.
    2. Aman, M.M. & Jasmon, G.B. & Bakar, A.H.A. & Mokhlis, H., 2014. "A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm," Energy, Elsevier, vol. 66(C), pages 202-215.
    3. Moradi, Mohammad H. & Eskandari, Mohsen, 2014. "A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting," Renewable Energy, Elsevier, vol. 68(C), pages 697-714.
    4. Fu, Xueqian & Chen, Haoyong & Cai, Runqing & Yang, Ping, 2015. "Optimal allocation and adaptive VAR control of PV-DG in distribution networks," Applied Energy, Elsevier, vol. 137(C), pages 173-182.
    5. Prakash, Prem & Khatod, Dheeraj K., 2016. "Optimal sizing and siting techniques for distributed generation in distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 111-130.
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