A Grid as Smart as the Internet

Yan-li, Liu; Yu, Yixin; Gao, Ning; Wu, F.F.

doi:10.1016/j.eng.2019.11.015

Cited by 22 publications

(8 citation statements)

References 16 publications

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“…The democratization of energy will also bring with it a reordering of human relationship, impacting the way we conduct business, govern society, educate our children, and engage in civic life" [2]. Under this vision and inspired by [3], [4], this paper reviews the current stateof-the-art on the convergence between information and ener-gy sectors from a technical perspective and focuses on the concept of decentralization as a way to reach this goal, providing specific examples and applications.…”

Section: Introductionmentioning

confidence: 99%

Towards an Internet-like Power Grid

Kouveliotis-Lysikatos

Hatziargyriou

et al. 2022

Journal of Modern Power Systems and Clean Energy

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The great challenges faced by modern power systems require a fresh look at the conventional operation paradigm. The significant challenges faced by modern power systems require an innovative method for the conventional operation paradigm. We claim that the decarbonization of the power grid and extensive electrification of numerous sectors of human activity can only be fostered by a self-adaptable and smart power grid that manifests similar qualities to those of the Internet. The Internet is constructed on a layered architecture that facilitates technology innovations and its intelligence is distributed throughout a hierarchy of networks. In this paper, the fundamental differences between the network data flows and power flows are examined, and the basic requirements for an innovative operation paradigm are highlighted. The current power grid is operated in a highly inflexible, centralized manner to meet increased security goals. A new highly flexible, distributed architecture can be realized by distributing the operation responsibility in smaller areas or even in grid components that can make autonomous decisions. The characteristics of such a power grid are presented, and the key features and advances for the on-going transition to a sustainable power system are identified. Finally, a case study on distributed voltage control is presented and discussed.

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Section: Introductionmentioning

confidence: 99%

Towards an Internet-like Power Grid

Kouveliotis-Lysikatos

Hatziargyriou

et al. 2022

Journal of Modern Power Systems and Clean Energy

Self Cite

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“…The integration of communication and information technologies with electrical infrastructure has become more prevalent in recent years. Smart grids, the next generation of energy distribution networks, are emerging due to the increasing penetration of advances in modern technology [1,2]. One of the crucial components of smart grids is Advanced Metering Infrastructure (AMI) which allows the transfer of two-way data like time and quantity of energy used by a customer.…”

Section: Introductionmentioning

confidence: 99%

Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach

Hussain

Mustafa

Al-Shqeerat

et al. 2022

IET Generation Trans & Dist

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This paper presents a novel, sequentially executed supervised machine learning-based electric theft detection framework using a Jaya-optimized combined Kernel and Tree Boosting (KTBoost) classifier. It utilizes the intelligence of the XGBoost algorithm to estimate the missing values in the acquired dataset during the data pre-processing phase. An oversampling algorithm based on the Robust-SMOTE technique is utilized to avoid the unbalanced data class distribution issue. Afterward, with the aid of few very significant statistical, temporal, and spectral features extracted from the acquired kWh dataset, the complex underlying data patterns are comprehended to enhance the accuracy and detection rate of the classifier. For effectively classifying the consumers into "Honest" and "Fraudster," the ensemble machine learning-based classifier KTBoost, with Jaya algorithm optimized hyperparameters, is utilized. Finally, the developed model is re-trained using a reduced set of highly important features to minimize the computational resources without compromising the performance of the developed model. The outcome of this study reveals that the proposed theft detection method achieves the highest accuracy (93.38%), precision (95%), and recall (93.18%) among all the studied methods, thus signifying its importance in the studied area of research.

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“…Wu et al [11] review the architectures of control centers in modern power systems and envision a distributed architecture of control centers. References [12], [13] and [14] introduce a GRIP (Grid with Intelligent Periphery) architecture where power grid operation is decomposed into hierarchically structured clusters that include transmission grids, distribution grids, microgrids, and smart homes. Reference [15] identifies three dimensions that can assess and describe the grid evolution given the drivers of change in electric energy systems.…”

Section: Introductionmentioning

confidence: 99%

On an Information and Control Architecture for Future Electric Energy Systems

Xie¹,

Huang²,

Kumar³

et al. 2022

Preprint

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This paper presents considerations towards a control architecture for future electric energy systems driven by massive changes resulting from the societal goals of decarbonization and electrification. A historical perspective is provided on the role that architecture and abstractions have played in other technological systems such as the Internet, serial computation, and communication systems. For power systems, we present a viewpoint of architecture as the organization of multiple control loops aligned with the entities involved, as well as taking advantage of time-scale and spatial scale separations. New requirements and challenges in designing the set of control loops required for future electric energy systems are substantiated from a temporal and spatial scale perspective. Finally, we articulate key desirable control loops that can enable decarbonization of the electricity sector. We thereby argue that the present architecture of electric power grids designed in a different era is indeed extensible to allow the incorporation of increased renewables.

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A Grid as Smart as the Internet

Cited by 22 publications

References 16 publications

Towards an Internet-like Power Grid

Towards an Internet-like Power Grid

Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach

On an Information and Control Architecture for Future Electric Energy Systems

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