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An Milp model for switch, DG, and tie line placement to improve distribution grid reliability

Zare Bahramabadi, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/JSYST.2022.3172378
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. Remote controlled switches (RCSs) have the ability to isolate the faulted area from other parts of the distribution system. On the other hand, the dispatchable distributed generators (DDGs) and tie lines can supply the interrupted loads after fault occurrence trough microgrids and reduce the outage time. In this regard, this article proposes a planning model for simultaneous placement of RCSs, DDGs, and tie lines to improve distribution system reliability. The presence of renewable distributed generations (RDGs) and energy storage systems, which have an increasing penetration in today's distribution networks are also considered. Moreover, two different practical load shedding methods are considered to balance the total generation and consumption in microgrids. The predetermined expansion plan of RDGs is also considered. To simplify the implementation of the proposed optimization model and ensure the global optimal solution, the planning model is formulated as a mixed integer linear programming model which can be solved by various commercial solvers. Finally, the effectiveness of the proposed model is illustrated by implementation on bus 4 of Roy Billinton test system through various case studies and sensitivity analyses. The results demonstrate the significant impact of the proposed planning model on improving the distribution system reliability. IEEE
  6. Keywords:
  7. Dispatchable distributed generation (DDG) ; Energy storage system (ESS) ; Remote controlled switch (RCS) ; Renewable distributed generation (RDG) ; Tie line ; Distributed power generation ; Electric load dispatching ; Electric load shedding ; Energy storage ; Integer programming ; Reliability ; Sensitivity analysis ; Dispatchable distributed generation ; Distribution system reliability ; Energy storage system ; Microgrid ; Planning models ; Remote controled switch ; Renewable distributed generation ; Renewable distributed generations ; Storage systems ; Tie-line ; Remote control
  8. Source: IEEE Systems Journal ; 2022 , Pages 1-12 ; 19328184 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9774995