Power distribution network expansion planning to improve resilience

Abstract

High‐impact, low‐probability events that cause significant annual damages seriously threaten the health of distribution networks. The effects of these events have made the expansion planning for distribution systems something beyond the traditional reliability criteria, so there is an ever‐increasing need for modifications in current planning approaches and focusing on the resilience in the expansion planning of distribution networks. The new attitude dealing with resilience and distributed generation sources in distribution networks necessitates a fundamental reconsidering of traditional distribution network planning methods. Here, by modelling common natural disasters such as floods and storms, an appropriate index is introduced to evaluate the distribution network resilience in the presence of distributed generation (DG) sources, including conventional gas‐fired and photovoltaic sources. Then, by presenting an appropriate model for load and photovoltaic production, the problem of comprehensive distribution network planning, including substations, feeders, and DG sources, is mathematically formulated as a multi‐objective optimization problem to improve resilience and optimize costs. Furthermore, a non‐dominated sorting genetic algorithm is used to solve the problem of comprehensively planning a resilient distribution network. Implementation of the proposed model on the IEEE 54‐bus sample network shows that network resilience can be improved with minimum cost by optimal network planning.

Resilience‐oriented planning and management of battery storage systems in distribution networks

“…This is despite of the fact that in some works, there is a simultaneous look at the normal conditions of the network and the event situation. For instance, the works [27,28] propose multi-objective frameworks to optimize the expansion of DERs, feeders, and substations to improve the resilience of network due to an event, as well as reducing installation and operation costs in the normal situation. Similarly, reference [18] proposes an optimal framework for line hardening and installing backup DERs as a resiliency-oriented design by minimizing the summation of daily investment and operation costs.…”