Short-circuit constrained distribution network reconfiguration considering closed-loop operation

This paper presents a novel scenario-based stochastic mixed-integer second-order cone programming model to solve the problem of optimal reconfiguration of distribution systems with renewable energy sources considering short-circuit constraints. The proposed formulation minimizes technical losses by...

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Bibliographic Details
Published in:Sustainable Energy, Grids and Networks Vol. 32; p. 100937
Main Authors: Macedo, Leonardo H., Home-Ortiz, Juan M., Vargas, Renzo, Mantovani, José R.S., Romero, Rubén, Catalão, João P.S.
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.12.2022
Subjects:
Closed-loop operation
Distribution network reconfiguration
Renewable energy sources
Short-circuit
Stochastic programming
Renewable energy sources
Closed-loop operation
Distribution network reconfiguration
Short-circuit
Stochastic programming
ISSN:2352-4677, 2352-4677
Online Access:Get full text
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Summary:This paper presents a novel scenario-based stochastic mixed-integer second-order cone programming model to solve the problem of optimal reconfiguration of distribution systems with renewable energy sources considering short-circuit constraints. The proposed formulation minimizes technical losses by modifying the statuses of sectionalizing and tie switches, allowing the operation of distribution networks with radial and closed-loop topologies. Since the formation of loops could impact fault current levels, short-circuit constraints are considered in the problem formulation. Numerical experiments are carried out using an 84-node system and the results demonstrate the effectiveness of the proposed formulation to reduce technical losses notably when a closed-loop operation is allowed. Additionally, it is verified that short-circuit constraints prevent the adoption of network configurations with high short-circuit values.
ISSN:2352-4677
2352-4677
DOI:10.1016/j.segan.2022.100937