An Enhanced MILP Model for Multistage Reliability-Constrained Distribution Network Expansion Planning

Reliability is an essential factor in distribution networkt expansion planning. However, standard reliability assessment techniques rely on quantifying the impact of a pre-specified set events service continuity through simulation component outages, one at time. Due to such simulation-based nature, incorporation into network planning has customarily required application heuristic and metaheuristic approaches. Recently, alternative mixed-integer linear programming (MILP) models have been proposed for considering reliability. Nonetheless, suffer from either low computational efficiency or over-simplification. To overcome these shortcomings, this paper proposes enhanced MILP model multistage reliability-constrained Leveraging efficient, yet accurate evaluation model, proposing customized technique effectively imposing radial operation, as well utilizing pragmatic measures reliability-related costs are salient features work. In respect, practical considered based incentive schemes revenue lost due undelivered energy during customer outages. The approach tested four networks with 24, 54, 86, 138 nodes illustrate its applicability.