Power distribution system blackstart restoration using renewable energy

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Authors: Wenlong Shi, Cong Bai, Zhaoyu Wang
Cited by: 0
References: 202

Abstract

Large-scale blackouts continue to expose the fragility of traditional top-down restoration, where end users remain de-energized until bulk generation and transmission are recovered. The rapid growth of inverter-based distributed energy resources (DERs) creates a credible alternative: bottom-up blackstart, in which grid-forming resources connected to the distribution system establish local voltage and frequency references, energize islands, and progressively extend and merge them after synchronization conditions are satisfied. However, feasibility at the grid edge is governed less by installed capacity than by deliverable inverter headroom under current and apparent power limits, low-inertia frequency dynamics, cold load pickup transients, protection admissibility, and imperfect situational awareness as topology changes. This Review synthesizes the operational foundations that define the bottom-up blackstart security envelope, and organizes the literature on multi-step, closed-loop decision workflows that co-optimize switching, stepwise load pickup, and DER dispatch decisions under renewable variability. We further survey uncertainty-aware formulations, information-adaptive rolling horizon and recourse perspectives, and learning-assisted surrogates that accelerate screening and combinatorial search while preserving physical feasibility guarantees. Finally, we connect standardization pathways to practical validation needs, and highlight open gaps in dynamic admissibility modeling, protection, observability, and real-time decision support required for reliable, scalable and autonomous bottom-up blackstart.

Fields of Study & Subjects

Optimal Power Flow Distribution Smart Grid Energy Management Integrated Energy Systems Optimization

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
17 August 2026
Language
EN