A mixed-integer quadratically-constrained programming model for the distribution system expansion planning

•A model to obtain the steady-state operation of a distribution system is shown.•A quadratically-constrained model for the distribution system planning is proposed.•We reported better results for test cases than the ones presented in other works. This paper presents a mixed-integer quadratically-con...

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Vydáno v:International journal of electrical power & energy systems Ročník 62; s. 265 - 272
Hlavní autoři: Franco, John F., Rider, Marcos J., Romero, Rubén
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.11.2014
Elsevier
Témata:
Allocations
Applied sciences
Computational efficiency
Construction
Distribution system expansion planning
Distribution system optimization
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Mathematical models
Miscellaneous
Mixed-integer quadratically-constrained programming
Operation. Load control. Reliability
Optimization
Power networks and lines
Programming
Solvers
Substations
Mixed-integer quadratically-constrained programming
Distribution system optimization
Distribution system expansion planning
Performance evaluation
Substation
Radial distribution
Power system planning
Power distribution planning
Mixed integer programming
Steady state
Forecasting management
Optimization
Integer programming
Electrical network
Optimal solution
Capacitor
Distribution network
Comparative study
ISSN:0142-0615, 1879-3517
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Shrnutí:•A model to obtain the steady-state operation of a distribution system is shown.•A quadratically-constrained model for the distribution system planning is proposed.•We reported better results for test cases than the ones presented in other works. This paper presents a mixed-integer quadratically-constrained programming (MIQCP) model to solve the distribution system expansion planning (DSEP) problem. The DSEP model considers the construction/reinforcement of substations, the construction/reconductoring of circuits, the allocation of fixed capacitors banks and the radial topology modification. As the DSEP problem is a very complex mixed-integer non-linear programming problem, it is convenient to reformulate it like a MIQCP problem; it is demonstrated that the proposed formulation represents the steady-state operation of a radial distribution system. The proposed MIQCP model is a convex formulation, which allows to find the optimal solution using optimization solvers. Test systems of 23 and 54 nodes and one real distribution system of 136 nodes were used to show the efficiency of the proposed model in comparison with other DSEP models available in the specialized literature.
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ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2014.04.048