TY - JOUR
T1 - On the explicit formulation of reliability assessment of distribution systems with unknown network topology
T2 - Incorporation of DG, switching interruptions, and customer-interruption quantification
AU - Jooshaki, Mohammad
AU - Lehtonen, Matti
AU - Fotuhi-Firuzabad, Mahmud
AU - Muñoz-Delgado, Gregorio
AU - Contreras, Javier
AU - Arroyo, José M.
N1 - Funding Information:
The work of M. Jooshaki was supported in part by the Circular Economy Solutions Unit, Geologian Tutkimuskeskus (GTK), Espoo, Finland , and in part by the Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland . The work of M. Fotuhi-Firuzabad was partly supported by the Iran National Science Foundation (INSF) . The work of G. Muñoz-Delgado, J. Contreras, and J. M. Arroyo was supported in part by the Ministry of Science, Innovation and Universities of Spain , under Projects PID2021-122579OB-I00 , PID2021-126566OB-I00 , RTI2018-096108-A-I00 , and RTI2018-098703-B-I00 (MCIU/AEI/FEDER, UE), in part by the Junta de Comunidades de Castilla-La Mancha under Project SBPLY/21/180501/ 000154 , and in part by the University of Castilla-La Mancha , under Grant 2021-GRIN-30952 .
Publisher Copyright:
© 2022 The Authors
PY - 2022/10/15
Y1 - 2022/10/15
N2 - This paper presents an original approach for the evaluation of reliability of active distribution networks with unknown topology. Built upon novel reformulations of conventional definitions for distribution reliability indices, the dependence of system-oriented reliability metrics on network topology is explicitly formulated using a set of mixed-integer linear expressions. Unlike previously reported works also modeling mathematically the relationship between reliability assessment and network topology, the proposed approach allows considering the impact of distributed generation (DG) while accounting for switching interruptions. Moreover, for the first time in the emerging closely related literature, the nonlinearity and nonconvexity of the customer average interruption duration index are precisely characterized. The proposed mixed-integer linear model is suitable for various distribution optimization problems in which the operational topology of the network is not specified a priori. Aiming to exemplify its potential applicability, the proposed formulation is incorporated into a distribution reconfiguration optimization problem. The effectiveness and practicality of the proposed approach are numerically illustrated using various test networks.
AB - This paper presents an original approach for the evaluation of reliability of active distribution networks with unknown topology. Built upon novel reformulations of conventional definitions for distribution reliability indices, the dependence of system-oriented reliability metrics on network topology is explicitly formulated using a set of mixed-integer linear expressions. Unlike previously reported works also modeling mathematically the relationship between reliability assessment and network topology, the proposed approach allows considering the impact of distributed generation (DG) while accounting for switching interruptions. Moreover, for the first time in the emerging closely related literature, the nonlinearity and nonconvexity of the customer average interruption duration index are precisely characterized. The proposed mixed-integer linear model is suitable for various distribution optimization problems in which the operational topology of the network is not specified a priori. Aiming to exemplify its potential applicability, the proposed formulation is incorporated into a distribution reconfiguration optimization problem. The effectiveness and practicality of the proposed approach are numerically illustrated using various test networks.
KW - Active distribution networks
KW - Customer-interruption quantification
KW - Distributed generation
KW - Mixed-integer linear programming
KW - Reliability assessment
KW - Switching interruptions
KW - Unknown network topology
UR - http://www.scopus.com/inward/record.url?scp=85135411723&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2022.119655
DO - 10.1016/j.apenergy.2022.119655
M3 - Article
AN - SCOPUS:85135411723
VL - 324
JO - Applied Energy
JF - Applied Energy
SN - 0306-2619
M1 - 119655
ER -