Optimal scheduling strategy of active distribution system using brain storm optimisation algorithm

The optimal scheduling strategy of the active distribution system (ADS) is the core technology required to actively manage distributed clean energy resources (DERs) and to guarantee the safe and economical operation of ADS. This study presents an optimal dispatching model for the ADN on the basis of...

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Veröffentlicht in:Journal of engineering (Stevenage, England) Jg. 2017; H. 13; S. 2246 - 2250
Hauptverfasser: Jiandong, Duan, Lupeng, Chen, Qian, Sun, Jing, Wang, Teng, Mu, Fuping, Yan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 2017
Schlagworte:
active distribution system
ADS
brain storm optimisation algorithm
clean energy resources
complete scheduling cycle
controllable DERs output
core technology
DERs features
distributed power generation
distribution networks
economical operation
improved IEEE33 nodes system
load dispatching
load flow
minimising the operational expenditures
nonlinear model
optimal dispatching model
optimal scheduling model
optimal scheduling strategy
optimisation
power distribution control
safe operation
scheduling
voltage quality
power distribution control
voltage quality
minimising the operational expenditures
distribution networks
brain storm optimisation algorithm
safe operation
complete scheduling cycle
clean energy resources
nonlinear model
optimal dispatching model
distributed power generation
load dispatching
ADS
improved IEEE33 nodes system
controllable DERs output
optimisation
DERs features
optimal scheduling model
optimal scheduling strategy
scheduling
economical operation
active distribution system
core technology
load flow
ISSN:2051-3305, 2051-3305
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Beschreibung
Zusammenfassung:The optimal scheduling strategy of the active distribution system (ADS) is the core technology required to actively manage distributed clean energy resources (DERs) and to guarantee the safe and economical operation of ADS. This study presents an optimal dispatching model for the ADN on the basis of ADS itself and DERs features, whose purposes are making full use of clean energy resources, improving voltage quality and minimising the operational expenditures in a complete scheduling cycle by means of controllable DERs output. For the non-linear model, the brain storm optimisation algorithm is applied to solve the optimal scheduling model of ADS. A large number of case studies using the improved IEEE33 nodes system demonstrate the validity of the proposed the strategy.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2017.0730