TY - JOUR
T1 - An Enhanced MILP Model for Multistage Reliability-Constrained Distribution Network Expansion Planning
AU - Jooshaki, Mohammad
AU - Abbaspour, Ali
AU - Fotuhi-Firuzabad, Mahmud
AU - Munoz-Delgado, Gregorio
AU - Contreras, Javier
AU - Lehtonen, Matti
AU - Arroyo, Jose M.
N1 - Tallennetaan OA-artikkeli, kun julkaistu
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Reliability is an essential factor in distribution networkt expansion planning. However, standard distribution reliability assessment techniques rely on quantifying the impact of a pre-specified set of events on service continuity through the simulation of component outages, one at a time. Due to such a simulation-based nature, the incorporation of reliability into distribution network expansion planning has customarily required the application of heuristic and metaheuristic approaches. Recently, alternative mixed-integer linear programming (MILP) models have been proposed for distribution network expansion planning considering reliability. Nonetheless, such models suffer from either low computational efficiency or over-simplification. To overcome these shortcomings, this paper proposes an enhanced MILP model for multistage reliability-constrained distribution network expansion planning. Leveraging an efficient, yet accurate reliability evaluation model, proposing a customized technique for effectively imposing radial operation, as well as utilizing pragmatic measures to model reliability-related costs are the salient features of this work. In this respect, practical reliability-related costs are considered based on reliability incentive schemes and the revenue lost due to undelivered energy during customer outages. The proposed planning approach is tested on four networks with 24, 54, 86, and 138 nodes to illustrate its efficiency and applicability.
AB - Reliability is an essential factor in distribution networkt expansion planning. However, standard distribution reliability assessment techniques rely on quantifying the impact of a pre-specified set of events on service continuity through the simulation of component outages, one at a time. Due to such a simulation-based nature, the incorporation of reliability into distribution network expansion planning has customarily required the application of heuristic and metaheuristic approaches. Recently, alternative mixed-integer linear programming (MILP) models have been proposed for distribution network expansion planning considering reliability. Nonetheless, such models suffer from either low computational efficiency or over-simplification. To overcome these shortcomings, this paper proposes an enhanced MILP model for multistage reliability-constrained distribution network expansion planning. Leveraging an efficient, yet accurate reliability evaluation model, proposing a customized technique for effectively imposing radial operation, as well as utilizing pragmatic measures to model reliability-related costs are the salient features of this work. In this respect, practical reliability-related costs are considered based on reliability incentive schemes and the revenue lost due to undelivered energy during customer outages. The proposed planning approach is tested on four networks with 24, 54, 86, and 138 nodes to illustrate its efficiency and applicability.
KW - Distribution network expansion planning
KW - Distribution networks
KW - Indexes
KW - Investment
KW - mixed-integer linear programming
KW - multistage
KW - Planning
KW - Power system reliability
KW - Reliability
KW - reliability
KW - Substations
UR - http://www.scopus.com/inward/record.url?scp=85111027930&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2021.3098065
DO - 10.1109/TPWRS.2021.3098065
M3 - Article
AN - SCOPUS:85111027930
SN - 0885-8950
VL - 37
SP - 118
EP - 131
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 1
ER -