An active power control application in a utility wind farm cluster

Li, Lin; Li, Dan; Zhu, Chen; Zhao, Shutao

doi:10.1109/pesgm.2014.6939467

2014 IEEE PES General Meeting | Conference &Amp; Exposition 2014

DOI: 10.1109/pesgm.2014.6939467

|View full text |Cite

An active power control application in a utility wind farm cluster

Lin Li

Dan Li

Chen Zhu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

2021

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The regulation capacity, regulation speed, and response time are considered to choose wind farms appropriately to respond to control instructions. Two operation modes of wind farms, i. e., free mode and power restrained mode, are considered in [15], and wind farms in power restrained mode participate in active power control. Reference [11] develops a hierarchical active power dispatch framework of wind power cluster with dynamic grouping of wind farms.…”

mentioning

confidence: 99%

Optimal Decomposition of Stochastic Dispatch Schedule for Renewable Energy Cluster

Yang

Wang

et al. 2021

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

The correlated renewable energy farms are usually aggregated as a cluster in economic dispatch to relieve computational burden. This strategy can also achieve better performance since the precision of predicting the power generation of a cluster can be higher than those of individual farms. This paper proposes an optimal decomposition method to allocate dispatch schedules among renewable energy farms (REFs) in the cluster under existing stochastic optimization framework. The proposed model takes advantage of probabilistic characteristics of renewable generation to minimize the curtailment and ensure the feasibility of dispatch schedule of the clusters. Approximated tractable formulation and efficient solution method are the proposed to solve the proposed model. Numerical tests show that the proposed method achieves the optimal decomposition of dispatch schedule among REFs and facilitates the utilization of renewable generation.

show abstract

mentioning

confidence: 99%

Optimal Decomposition of Stochastic Dispatch Schedule for Renewable Energy Cluster

Yang

Wang

et al. 2021

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

show abstract

Hierarchical Model Predictive Control Strategy Based on Dynamic Active Power Dispatch for Wind Power Cluster Integration

Yang

Zhang

Tang

et al. 2019

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An active power control application in a utility wind farm cluster

Cited by 2 publications

References 5 publications

Optimal Decomposition of Stochastic Dispatch Schedule for Renewable Energy Cluster

Optimal Decomposition of Stochastic Dispatch Schedule for Renewable Energy Cluster

Hierarchical Model Predictive Control Strategy Based on Dynamic Active Power Dispatch for Wind Power Cluster Integration

Contact Info

Product

Resources

About