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Short‐term expansion planning of radial electrical distribution systems using mixed‐integer linear programming

Acceso Abierto
ID Minciencias: ART-0000003159-40
Ranking: ART-ART_A1

Abstract:

This study presents a mixed‐integer linear programming (MILP) model to solve the short‐term expansion planning problem of radial electrical distribution systems. The proposed model defines the construction of new circuits, the reconductoring of existing circuits, the allocation of capacitor banks (as well as the type and the number of units in operation) and the allocation of voltage regulators to minimise the total annualised investment and operation costs. In the proposed formulation, the steady‐state operation of the radial distribution system is mathematically modelled through linear expressions. The use of an MILP model guarantees convergence to optimality by using existing classical optimisation tools. The model was implemented in the mathematical modelling language AMPL and solved using the commercial solver CPLEX. A 54‐node test system and 201‐node real distribution system were used to demonstrate the accuracy of the mathematical model, as well as the efficiency of the proposed solution technique.

Tópico:

Optimal Power Flow Distribution

Citaciones:

Citations: 30
30

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteIET Generation Transmission & Distribution
Cuartil año de publicaciónNo disponible
Volumen9
Issue3
Páginas256 - 266
pISSN1751-8687
ISSNNo disponible

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