An assessment methodology for the flexibility capacity of new power system based on two-stage robust optimization

Li, Junhui; Yu, Zhenbo; Mu, Gang; Li, Baoju; Zhou, Jiaxu; Yan, Gangui; Zhu, Xingxu; Li, Cuiping

doi:10.1016/j.apenergy.2024.124291

Applied Energy

2024

DOI: 10.1016/j.apenergy.2024.124291

|View full text |Cite

An assessment methodology for the flexibility capacity of new power system based on two-stage robust optimization

Junhui Li,

Zhenbo Yu,

Gang Mu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems

Afzali,

Hosseini,

Peyghami

2024

Applied Sciences

View full text Add to dashboard Cite

The increasing integration of renewable energy sources (RESs) into power systems has introduced new complexities due to the inherent variability and uncertainty of these energy sources. In addition to the uncertainty in RES generation, the demand-side load of power systems is also subject to fluctuations, further complicating system operations. Addressing these challenges requires effective modeling and assessment techniques to quantify and mitigate the risks associated with system uncertainties. This paper evaluates the impact of various uncertainty modeling techniques on power system reliability with wind farm integration. Furthermore, this paper reviews the state of the art of the various uncertainty and risk modeling techniques in power systems. Through a detailed case study, the performance of these techniques in modeling uncertainties of wind speeds is analyzed. Based on the results, the integration of wind turbines improves the system’s overall reliability when there is a reduction in conventional power plants (CPPs)’ generation, which are dispatchable energy sources providing a stable and flexible supply. However, the generation of wind farms is associated with uncertainty. The results show Monte Carlo simulation combined with the K-Means method is consistently a more accurate uncertainty model for wind speeds, closely aligning with real-case scenarios, compared to other methods such as Markov Chain Monte Carlo (MCMC), robust optimization (RO), and information-gap decision theory (IGDT).

show abstract

A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems

Afzali,

Hosseini,

Peyghami

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

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

customersupport@researchsolutions.com

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

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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 assessment methodology for the flexibility capacity of new power system based on two-stage robust optimization

Cited by 1 publication

References 43 publications

A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems

A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems

Contact Info

Product

Resources

About