A multi-objective reactive power optimization strategy for mitigating voltage fluctuation in power network caused by geomagnetic storm

Geomagnetically induced currents through the transformer windings produce biases of transformers, increase transformer reactive power losses, and lead to a significant lack of reactive power support in the power system. As a result, the geomagnetically induced currents cause voltage fluctuations and...

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Vydané v:Advances in mechanical engineering Ročník 9; číslo 9; s. 168781401770169
Hlavní autori: Yang, Pei-Hong, Liu, Lian-Guang, Zheng, Xu-Peng, Han, Xiao-Feng, Feng, Shi-Wei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London, England SAGE Publications 01.09.2017
Sage Publications Ltd
SAGE Publishing
Predmet:
Coils (windings)
Computer simulation
Electric potential
Electric power
Electricity distribution
Energy management
Geomagnetism
Magnetic storms
Model accuracy
Multiple objective analysis
Optimization algorithms
Particle swarm optimization
Power flow
Reactive power
Response surface methodology
Risk assessment
Simulation
Storms
Strategy
Studies
Systems stability
Transformers
Variation
Canada
China
Quebec Canada
reactive power optimization
voltage fluctuation
Geomagnetic storm
particle swarm optimization
geomagnetically induced currents
stochastic response surface
ISSN:1687-8132, 1687-8140, 1687-8140
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Shrnutí:Geomagnetically induced currents through the transformer windings produce biases of transformers, increase transformer reactive power losses, and lead to a significant lack of reactive power support in the power system. As a result, the geomagnetically induced currents cause voltage fluctuations and affect the safe and stable operation of the power network. This study focuses on the problem of multi-objective reactive power optimization strategy to mitigate the negative effects of geomagnetically induced current on the power network. Using the stochastic response surface method, this article establishes a model of the probabilistic power flow calculation, combines a particle swarm optimization algorithm based on the niche chaotic mutation, and sets up a multi-objective reactive power optimization model. The introducing of chaos mutation avoids the result falling into a local optimal solution and improves the global search ability. The geomagnetically induced current–benchmark simulation verified the accuracy and effectiveness of the model and algorithm, and proved that the strategy can effectively reduce the voltage deviation caused by the geomagnetically induced current.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-8132
1687-8140
1687-8140
DOI:10.1177/1687814017701697