A frequency control technique based on decision tree concept by managing thermostatically controllable loads at smart grids

Eissa, M.M.; Ali, Ahmed; Abdel-Latif, K.M.; Al-Kady, A.F.

doi:10.1016/j.ijepes.2018.12.037

“…Eissa et al in (177) present a new control procedure to reduce the risk of disconnecting charged feeders from electrical grids due to low frequency shedding (UFLS) relays malfunction. The suggested technique is based on a decision-tree algorithm for taking a precise decision to control thermostatically controllable loads (TCL).…”

Section: Decision Treementioning

confidence: 99%

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Kotsiopoulos

¹

,

Sarigiannidis

²

,

Ioannidis

³

et al. 2021

Computer Science Review

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Industry 4.0 is the new industrial revolution. By connecting every machine and activity through network sensors to the Internet, a huge amount of data is generated. Machine Learning (ML) and Deep Learning (DL) are two subsets of Artificial Intelligence (AI), which are used to evaluate the generated data and produce valuable information about the manufacturing enterprise, while introducing in parallel the Industrial AI (IAI). In this paper, the principles of the Industry 4.0 are highlighted, by giving emphasis to the features, requirements, and challenges behind Industry 4.0. In addition, a new architecture for AIA is presented. Furthermore, the most important ML and DL algorithms used in Industry 4.0 are presented and compiled in detail. Each algorithm is discussed and evaluated in terms of its features, its applications, and its efficiency. Then, we focus on one of the most important Industry 4.0 fields, namely the smart grid, where ML and DL models are presented and analyzed in terms of efficiency and effectiveness in smart grid applications. Lastly, trends and challenges in the field of data analysis in the context of the new Industrial era are highlighted and discussed such as scalability, cybersecurity, and big data.

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“…In this section, we consider the problem of controlling the amount of the aggregate power consumption (7) by choosing the quantities Θ sp and σ accordingly. Such a problem for the simplest model described by (4) has been considered, e.g., in [?…”

Section: Control Of the Diffusive Pde Modelmentioning

confidence: 99%

“…This analytical model for characterizing dynamics of the operating reserve is firstly developed based on the migration of TCLs' room temperature inside temperature hysteresis band. A frequency control technique is used in the literature [7] based on decision tree concept by conducting TCLs at smart grids. A new controlling action is introduced here to limit the probabilities of separating loaded feeders from smart grids due to maloperation of under-frequency load shedding relays.…”

Section: Introductionmentioning

confidence: 99%

The Green’s Type Matrices for Consumption Reduction in a Heterogeneous Population Model of TCLs with Diffusion

Mm¹,

Khurshudyan²

2019

Preprint

0

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We consider a control problem for a diffusive PDE model of heterogeneous population of thermostatically controlled loads (TCLs) aiming to balance the aggregate power consumption within a given amount of time. Using the Green’s function approach, the problem is formulated as an approximate controllability problem for a residue depending on control parameters nonlinearly. A sufficient condition for approximate controllability is derived in terms of initial temperature distribution, operation time of TCLs and threshold value of the aggregate power consumption. Case studies allow to reveal the advantages of the proposed solution from numerical calculations point of view.

show abstract

“…This analytical model for characterizing dynamics of the operating reserve is firstly developed based on the migration of TCLs' room temperature inside temperature hysteresis band. A frequency control technique is used in the literature [7] based on decision tree concept by conducting TCLs at smart grids.…”

Section: Introductionmentioning

confidence: 99%

“…where k is the performance coefficient. The quantities Θ sp,i and σ i are usually considered as control parameters in order to control the aggregate power consumption (7). For a relevant study, see, e.g., [4].…”

Section: Introductionmentioning

confidence: 99%

Controlling Power Consumption in a Heterogeneous Population Model of TCLs with Diffusion: The Green’s Function Approach

Hossain

¹

,

Khurshudyan

²

2019

Mathematics

0

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We consider a control problem for a diffusive PDE model of heterogeneous population of thermostatically controlled loads (TCLs) aiming to balance the aggregate power consumption within a given amount of time. Using the Green’s function approach, the problem is formulated as an approximate controllability problem for a residue depending on control parameters nonlinearly. A sufficient condition for approximate controllability is derived in terms of initial temperature distribution, operation time of TCLs and threshold value of the aggregate power consumption. Case studies allow to reveal the advantages of the proposed solution from numerical calculations point of view.

show abstract

A frequency control technique based on decision tree concept by managing thermostatically controllable loads at smart grids

Cited by 22 publications

References 17 publications

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

The Green’s Type Matrices for Consumption Reduction in a Heterogeneous Population Model of TCLs with Diffusion

Controlling Power Consumption in a Heterogeneous Population Model of TCLs with Diffusion: The Green’s Function Approach

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A frequency control technique based on decision tree concept by managing thermostatically controllable loads at smart grids

Cited by 22 publications

References 17 publications

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

The Green&rsquo;s Type Matrices for Consumption Reduction in a Heterogeneous Population Model of TCLs with Diffusion

Controlling Power Consumption in a Heterogeneous Population Model of TCLs with Diffusion: The Green’s Function Approach

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Product

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The Green’s Type Matrices for Consumption Reduction in a Heterogeneous Population Model of TCLs with Diffusion