Research on the Capacity Allocation and Planning Model of a Flexible Direct Current Transmission System Based on Swarm Intelligence Optimization Algorithm

Based on the contradiction between the increasing power demand and the low capacity of the traditional direct current (DC) transmission system, this study innovatively combines the swarm intelligence optimization algorithm with power transmission and storage, and establishes a flexible DC transmissi...

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Veröffentlicht in:International journal of web services research Jg. 21; H. 1; S. 1 - 14
1. Verfasser: Hao, Weihan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hershey IGI Global 01.01.2024
Schlagworte:
Algorithms
Allocation
Analysis
Direct current
Electric power transmission
Electricity distribution
Impact analysis
Intelligence
Mathematical optimization
Optimization
Power
Storage
Supply and demand
Swarm intelligence
Washington, D.C
ISSN:1545-7362, 1546-5004
Online-Zugang:Volltext
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Zusammenfassung:Based on the contradiction between the increasing power demand and the low capacity of the traditional direct current (DC) transmission system, this study innovatively combines the swarm intelligence optimization algorithm with power transmission and storage, and establishes a flexible DC transmission system model based on the swarm intelligence optimization algorithm. The study also analyzes the difference between the optimized capacity configuration of flexible DC transmission system and the traditional transmission system under different factors. The research results show that the transmission mode has become an important factor affecting the capacity allocation of flexible DC transmission system. The transmission medium and transmission cable type also have an impact on the capacity allocation of flexible DC transmission system. Optimizing power transmission mode, changing transmission medium and whether to add the swarm intelligence optimization algorithm are of far-reaching significance for improving the capacity allocation of flexible DC transmission system.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1545-7362
1546-5004
DOI:10.4018/IJWSR.355011