Data-driven predictive control for demand side management: Theoretical and experimental results

Yin, Mingzhou; Cai, Hanmin; Gattiglio, Andrea; Khayatian, Fazel; Smith, Roy S.; Heer, Philipp

doi:10.1016/j.apenergy.2023.122101

Cited by 6 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, advanced infrastructure (monitoring, measurements, control systems, communication systems, and advanced generation units) of the power system is required which is very complex and expensive especially to upgrade in old distribution systems. Recent articles applied these approaches for estimating the DSF [108,111]. Table 3 compares applied approaches in terms of data requirement of variables, number of uncertainties and scenarios, computational time, accuracy, and scalability.…”

Section: Data-driven Approachesmentioning

confidence: 99%

“…Although data-driven methods are applied extensively nowadays, these approaches still need more developments to handle obstacles such as required extreme data availability, infrastructure ability, tools' performance, operators' judgment, and others. However, these approaches have given promising results in several performed studies such as residential energy management aspects in references [109][110][111]207]. These approaches are used for the estimation of the PSF as well as the prediction of the system behaviour over upcoming time horizons, through several software and frameworks such as MATLAB, OpenDSS, and others.…”

Section: Operational Boundaries (Ob) Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

show abstract

Section: Data-driven Approachesmentioning

confidence: 99%

Section: Operational Boundaries (Ob) Studiesmentioning

confidence: 99%