Emerging Digitalization Technologies and Applications in the Context of Future Power Grids

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 1181

Special Issue Editors

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: electrical apparatus insulation online monitoring; power asset management
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: vulnerability analysis of power systems and condition monitoring of power apparatus

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Guest Editor
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: superconducting applications; multi-physical modeling; artificial intelligence; battery management system
BEEE, The Hong Kong Polytechnic University, Hong Kong, China
Interests: resiliency and reliability of power systems under climate change; urban energy systems; interpretable artificial intelligence

Special Issue Information

Dear Colleagues,

In power grids which are facing the future, digitalization and intelligence are the two crucial enabling technologies. The digital revolution has radically changed the traditional power industry from new digital model-based engineering to smart grids. With the rapid development of next-generation information and communication technologies (ICT), the huge number of data generated in the power generation, distribution, and consumption processes provide great opportunities for improved decision-making at all stages:

  • At the energy production stage, digital technologies will significantly improve the observability, controllability, and production level of renewable energy.
  • At the energy supply stage, the distributed terminal sensors and the communication system covering the whole network will significantly improve the transparency of the power grid status, equipment conditions, and management decisions in the system level.
  • At the energy consumption stage, digital technologies will support the building of a more flexible and controllable energy distribution platform.

The realization of digitization in future power grids still need further research efforts in the following areas. This Special Issue aims to cover the state-of-the-art and advancements in digitization and intelligence technologies in the power industry, together with emerging standards and research topics that will accelerate the development of future smart grids.

Topics

  • New and existing improvements for power grids digitization techniques and methodologies;
  • The digitization of power grids in the context of large-scale renewable energy penetration;
  • Internet of Things (IoTs) for renewable power grids;
  • Communication systems for renewable power grids;
  • Data analytics to optimize the grid operation decision making;
  • Digital modeling and simulation technology for power grid apparatus;
  • Intelligent operation and maintenance strategies for power assets;
  • Smart sensing, monitoring, and control of power apparatus;
  • Digital design and manufacturing technology of power equipment;
  • Simulation modeling and virtual twin technology for power equipment;
  • The reliability and resiliency of power grids under climate change;
  • Digital research and development for superconducting power equipment;
  • Next-generation grid codes and standards.

Dr. Nan Zhou
Dr. Lingen Luo
Dr. Mingyang Wang
Dr. Ying Du
Guest Editors

Manuscript Submission Information

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Keywords

  • digital technology
  • digitalization
  • artificial intelligence
  • renewable energy
  • Internet Of Things
  • high-fidelity modelling
  • industrial big data
  • intelligent condition monitoring
  • smart sensors
  • maintenance

Published Papers (1 paper)

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Research

24 pages, 5426 KiB  
Article
Managing Considerable Distributed Resources for Demand Response: A Resource Selection Strategy Based on Contextual Bandit
by Zhaoyu Li and Qian Ai
Electronics 2023, 12(13), 2783; https://doi.org/10.3390/electronics12132783 - 23 Jun 2023
Viewed by 786
Abstract
The widespread adoption of distributed energy resources (DERs) leads to resource redundancy in grid operation and increases computation complexity, which underscores the need for effective resource management strategies. In this paper, we present a novel resource management approach that decouples the resource selection [...] Read more.
The widespread adoption of distributed energy resources (DERs) leads to resource redundancy in grid operation and increases computation complexity, which underscores the need for effective resource management strategies. In this paper, we present a novel resource management approach that decouples the resource selection and power dispatch tasks. The resource selection task determines the subset of resources designated to participate in the demand response service, while the power dispatch task determines the power output of the selected candidates. A solution strategy based on contextual bandit with DQN structure is then proposed. Concretely, an agent determines the resource selection action, while the power dispatch task is solved in the environment. The negative value of the operational cost is used as feedback to the agent, which links the two tasks in a closed-loop manner. Moreover, to cope with the uncertainty in the power dispatch problem, distributionally robust optimization (DRO) is applied for the reserve settlement to satisfy the reliability requirement against this uncertainty. Numerical studies demonstrate that the DQN-based contextual bandit approach can achieve a profit enhancement ranging from 0.35% to 46.46% compared to the contextual bandit with policy gradient approach under different resource selection quantities. Full article
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