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Title An MILP Model for Optimal Placement of Sectionalizing Switches and Tie Lines in Distribution Networks With Complex Topologies
ID_Doc 14912
Authors Jooshaki, M; Karimi-Arpanahi, S; Lehtonen, M; Millar, RJ; Fotuhi-Firuzabad, M
Title An MILP Model for Optimal Placement of Sectionalizing Switches and Tie Lines in Distribution Networks With Complex Topologies
Year 2021
Published Ieee Transactions On Smart Grid, 12, 6
DOI 10.1109/TSG.2021.3092405
Abstract Sectionalizing switches (SSs) and tie lines play essential roles in reducing the duration of customer interruptions in electricity distribution networks. The effectiveness of such assets is strongly influenced by their placement in the grid. Operation of SSs and tie lines is also inherently interdependent. Due to the structural complexities regarding the mathematical modeling of such dependencies, optimization of the planning and operation of switches and tie lines has typically required either leveraging heuristic and metaheuristic approaches or oversimplifying the network topology. To tackle such issues, this paper presents a computationally-efficient model for reliability-oriented concurrent switch and tie line placement in distribution networks with complex topologies. The proposed model can be applied to grids with several tie lines and laterals per feeder, and yields the optimal location of tie lines, type of tie switches, namely manual or remote-controlled, and the location and type of SSs. Being cast as a mixed integer linear programming (MILP) problem, the model can be efficiently solved with guaranteed convergence to global optimality using off-the-shelf optimization software. The efficiency and scalability of the proposed model are demonstrated through implementation on five networks and the outcomes are thoroughly discussed.
Author Keywords Optimization; Reliability; Indexes; Topology; Resource management; Network topology; Manuals; Electricity distribution; mixed-integer linear programming; optimization; reliability; switch; tie line
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000709090100018
WoS Category Engineering, Electrical & Electronic
Research Area Engineering
PDF https://ieeexplore.ieee.org/ielx7/5165411/9582816/09465216.pdf
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