Dynamic Emergency Optimization and Control of Flexible Resources for Island Distribution Network to Cope With Wind Disasters

Qian GUO , Longteng WU , Jiekang WU , Bin ZHANG

›› 2026, Vol. 20 ›› Issue (7) : 35 -45.

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›› 2026, Vol. 20 ›› Issue (7) : 35 -45. DOI: 10.13648/j.cnki.issn1674-0629.2026.07.004
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Dynamic Emergency Optimization and Control of Flexible Resources for Island Distribution Network to Cope With Wind Disasters

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Abstract

Under the influence of typhoon weather, islands, constrained by geographical conditions, are more vulnerable to disasters. Moreover, islands possess richer renewable energy resources, making it particularly crucial to ensure the reliable and economical operation of island microgrids. Considering the impact of typhoons on island power distribution networks, and based on the load distribution, renewable energy reserves, and mobile emergency power supply vehicle deployment in island areas, a multi-objective optimal scheduling model is established for island microgrids under typhoon conditions. The model aims to minimize load loss and enhance voltage stability in the distribution network while ensuring stable operation. By coordinating maintenance teams, flexible emergency resource regulation is implemented. An improved particle swarm optimization algorithm is employed to obtain the global optimal solution. Through optimization of inertia and learning factors in the algorithm, dynamic dense distance sorting is used to update the non-dominated solution set, improving the algorithm's accuracy and global optimization capability. Applied to practical case studies, the results demonstrate the feasibility and effectiveness of the optimized scheduling model.

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typhoon disasters / improved particle swarm optimization algorithm / dynamic emergency optimization and control / flexible resources / island distribution network

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Qian GUO,Longteng WU,Jiekang WU,Bin ZHANG. Dynamic Emergency Optimization and Control of Flexible Resources for Island Distribution Network to Cope With Wind Disasters. 2026, 20(7): 35-45 DOI:10.13648/j.cnki.issn1674-0629.2026.07.004

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the Seience and Technology Project of China Southern Power Grid Co., Ltd(036000KK52222036┣GDKJXM20222392)

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