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Reduction of losses in electric power distribution system–dynamic reconfiguration case study |
BranimirNovoselnik1,DragoBago2,JadrankoMatuško1,MatoBaoti´c1 |
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(1 Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb 10000, Croatia;2 Faculty of Mechanical Engineering, Computing and Electrical Engineering, University of Mostar, Matice Hrvatske bb, Mostar 88000, Bosnia and Herzegovina) |
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摘要: |
This paper deals with reduction of losses in electric power distribution system through a dynamic reconfiguration case study of
a grid in the city of Mostar, Bosnia and Herzegovina. The proposed solution is based on a nonlinear model predictive control
algorithm which determines the optimal switching operations of the distribution system. The goal of the control algorithm
is to find the optimal radial network topology which minimizes cumulative active power losses and maximizes voltages
across the network while simultaneously satisfying all system constraints. The optimization results are validated through
multiple simulations (using real power demand data collected for a few characteristic days during winter and summer) which
demonstrate the efficiency and usefulness of the developed control algorithm in reducing the grid losses by up to 14%. |
关键词: Nonlinear model predictive control · Dynamic reconfiguration · Power distribution system · Mixed-integer programming · Real-life case study |
DOI:https://doi.org/10.1007/s11768-024-00236-4 |
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基金项目:This work was supported in part by the European Regional Development Fund under Grant KK.01.1.1.01.0009 (DATACROSS). |
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Reduction of losses in electric power distribution system–dynamic reconfiguration case study |
Branimir Novoselnik1,Drago Bago2,Jadranko Matuško1,Mato Baoti´c1 |
(1 Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, Zagreb 10000, Croatia;2 Faculty of Mechanical Engineering, Computing and Electrical Engineering, University of Mostar, Matice Hrvatske bb, Mostar 88000, Bosnia and Herzegovina) |
Abstract: |
This paper deals with reduction of losses in electric power distribution system through a dynamic reconfiguration case study of
a grid in the city of Mostar, Bosnia and Herzegovina. The proposed solution is based on a nonlinear model predictive control
algorithm which determines the optimal switching operations of the distribution system. The goal of the control algorithm
is to find the optimal radial network topology which minimizes cumulative active power losses and maximizes voltages
across the network while simultaneously satisfying all system constraints. The optimization results are validated through
multiple simulations (using real power demand data collected for a few characteristic days during winter and summer) which
demonstrate the efficiency and usefulness of the developed control algorithm in reducing the grid losses by up to 14%. |
Key words: Nonlinear model predictive control · Dynamic reconfiguration · Power distribution system · Mixed-integer programming · Real-life case study |