Multi-objective collaborative optimization of active distribution network operation based on improved particle swarm optimization algorithm

ADN (Active distribution network) is easily disturbed during its operation, resulting in problems such as power supply quality degradation and operation safety deterioration. Therefore, the research and simulation of multi-objective collaborative optimization of ADN operation based on improved parti...

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Veröffentlicht in:Scientific reports Jg. 15; H. 1; S. 8999 - 14
Hauptverfasser: Sun, Shumin, Yu, Peng, Xing, Jiawei, Wang, Yuejiao, Yang, Song
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 15.03.2025
Nature Publishing Group
Nature Portfolio
Schlagworte:
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Active distribution network
Algorithms
Collaboration
Collaborative optimization
Distribution network operation
Energy storage
Humanities and Social Sciences
Improved particle swarm optimization
Load distribution
Multi-objective
multidisciplinary
Objective function
Optimization algorithms
Peak load
Power supply
Science
Science (multidisciplinary)
Storage capacity
Improved particle swarm optimization
Distribution network operation
Active distribution network
Multi-objective
Collaborative optimization
ISSN:2045-2322, 2045-2322
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Zusammenfassung:ADN (Active distribution network) is easily disturbed during its operation, resulting in problems such as power supply quality degradation and operation safety deterioration. Therefore, the research and simulation of multi-objective collaborative optimization of ADN operation based on improved particle swarm optimization algorithm are proposed. An objective function of multi-objective collaborative optimization configuration for ADN operation is constructed. According to this objective function, the improved particle swarm optimization algorithm is used to optimize the collaborative optimization configuration, and the population particles are mutated, and the obtained result is the optimal energy storage capacity configuration result of power system. The architecture of the simulation platform for cooperative operation of ADN is constructed, and the load grades of distribution system are divided. Based on the hierarchical management of loads in distributed systems, multi-objective collaborative optimization of ADN operating voltage in both frequency and time domains has been achieved. The experimental results show that during peak periods, the system’s load capacity is only twice that of before optimization or other situations, achieving stable power supply for peak power demand. Multi-objective collaborative optimization in frequency domain and time domain has the best effect. Under the conditions of reactive power and active power, the multi-objective collaborative optimization method of ADN operation has good results.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-025-90907-2