Resilience Improvement Strategy of Distribution Network in Ice Disaster Considering Microgrids Coordination

doi:10.16183/j.cnki.jsjtu.2024.117

Abstract

Abstract:

Line icing caused by ice disasters significantly affects the safety of distribution network. The advent of microgrid with energy storage provides a new method to enhance the resilience of the system. This paper proposes a resilience enhancement strategy for the coordinated operation of microgrids and distribution networks, fully leveraging the emergency power supply capabilities of distributed generation and energy storage systems of microgrids. First, considering the fault evolution characteristics of transmission line icing disasters, a quantitative risk assessment model for icing on distribution network lines is developed. Next, a rolling optimization approach based on a hybrid long-short time scale is proposed, in which the long-term optimization focuses on cross-day microgrid energy storage pre-dispatch and distribution line repair strategies, while the short-term day-ahead optimization mainly addresses intraday uncertainties caused by renewable energy variability and network topology changes induced by icing-related fault evolution, with scheduling strategies generated using a column-and-constraint generation algorithm. The long-and-short time-scale optimization models are executed in a rolling manner over the whole ice disaster period. Finally, the effectiveness of the proposed resilience enhancement strategy is validated through simulation studies on a modified IEEE standard 33-node distribution network.

Key words: resilience of distribution network, ice disaster, mixed timescale rolling-horizon optimization, microgrid, storage dispatch

CLC Number:

TM732

FANG Ziwen, ZHOU Yongzhi, DAN Yangqing, WEI wei. Resilience Improvement Strategy of Distribution Network in Ice Disaster Considering Microgrids Coordination[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 584-594.

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时间/d	新增冰厚/mm	累积冰厚/mm	单位线路失效概率	时间/d	新增冰厚/mm	累积冰厚/mm	单位线路失效概率
1	0.226	20.00	0.0002	11	2.923	24.67	0.0182
2	0.315	20.23	0.0010	12	0.942	27.59	0.0323
3	0.036	20.54	0.0020	13	0.485	28.53	0.0357
4	0.023	20.58	0.0022	14	0.013	29.02	0.0381
5	0.623	20.60	0.0026	15	0.020	29.03	0.0381
6	0.644	21.22	0.0048	16	0.015	29.05	0.0380
7	0.292	21.87	0.0074	17	0.007	29.06	0.0395
8	1.684	22.16	0.0085	18	0	29.07	0.0392
9	0.640	23.84	0.0156	19	0	29.07	0.0392
10	0.184	24.48	0.0174	20	0	29.07	0.0394