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Advances in Complex Dynamics of Energy Flow in Power Grid...
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Advances in Complex Dynamics of Energy Flow in Power Grid with High Penetration of Inverter-Based Renewable Resources

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 8 May 2024 | Viewed by 990

Special Issue Editors

Prof. Dr. John N. Jiang

E-Mail Website
Guest Editor
School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
Interests: complex dynamics of energy flow in power systems; grid integration of renewable energy resources
Prof. Dr. Roy McCann

E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Arkansas, Fayetteville, AR, USA
Interests: design and control of electrical machinery and power systems

Special Issue Information

Dear Colleagues,

Energies invites submissions to the Special Issue on the complex dynamics of energy flow in the power grid with high penetration of grid-connected inverter-based renewable energy resources.

The complex dynamics of energy flow in the power system with high penetration of inverter-based renewable resources and storage systems are not fully understood. The current analytic techniques and tools for power system analysis are inadequate to address some of the complex energy flow experienced, particularly during the transient periods following inevitable disturbances or intentional autonomous grid reconfigurations.

This Special Issue is dedicated to the new thoughts and ideas for modeling, measurement, and protection against the complexity of energy flow that the conventional power grid does not have.

The topic areas of interest include, but are not limited to:

  • Reports or reviews on sub-synchronous resonance and oscillations associated with renewable energies and large-storage systems, and other complex dynamics experienced and issues in the power grid;
  • Model of complex dynamics in non-linear, non-Newtonian multi-physics systems;
  • Machine learning and artificial intelligence;
  • Measurement, instrumentation, state estimation, and signal detection of complex systems;
  • New ideas of adaptive protection systems with setting groups and devices against complex transients under variable and intermittent operation conditions.

Submissions of unconventional but related research works from interdisciplinary areas, such as physics, mathematics, machine learning, computer sciences, and other science and engineering areas are encouraged. Submissions of clearly described novel, innovative ideas without intensive empirical validation are also welcome and will be fully evaluated.

All submissions should be the original, unpublished work not being considered for publication elsewhere and must follow the submission guidelines of Energies. Submissions will be refereed according to the standard procedures for the Journal of Classification.

Papers for the Special Issue should be submitted using the journal’s submission system of Energies.

Prof. Dr. John N. Jiang
Prof. Dr. Roy McCann
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

0 pages, 4162 KiB  
Article
On SINDy Approach to Measure-Based Detection of Nonlinear Energy Flows in Power Grids with High Penetration Inverter-Based Renewables
by Reza Saeed Kandezy, John Jiang and Di Wu
Energies 2024, 17(3), 711; https://doi.org/10.3390/en17030711 - 01 Feb 2024
Viewed by 716
Abstract
The complexity of modern power grids, caused by integrating renewable energy sources, especially inverter-based resources, presents a significant challenge to grid operation and planning, since linear models are unable to capture the complex nonlinear dynamics of power systems with coupled muti-scale dynamics, and [...] Read more.
The complexity of modern power grids, caused by integrating renewable energy sources, especially inverter-based resources, presents a significant challenge to grid operation and planning, since linear models are unable to capture the complex nonlinear dynamics of power systems with coupled muti-scale dynamics, and it necessitate an alternative approach utilizing more advanced and data-driven algorithms to improve modeling accuracy and system optimization. This study employs the sparse identification of nonlinear dynamics method by leveraging compressed sensing and sparse modeling principles, offering robustness and the potential for generalization, allowing for identifying key dynamical features with relatively few measurements, and providing deeper theoretical understanding in the field of power system analysis. Taking advantage of the this method in recognizing the active terms (first and high order) in the system’s governing equation, this paper also introduces the novel Volterra-based nonlinearity index to characterize system-level nonlinearity. The distinction of dynamics into first-order linearizable terms, second-order nonlinear dynamics, and third-order noise is adopted to clearly show the intricacy of power systems. The findings demonstrate a fundamental shift in system dynamics as power sources transit to inverter-based resources, revealing system-level (second-order) nonlinearity compared to module-level (first order) nonlinearity in conventional synchronous generators. The proposed index quantifies nonlinear-to-linear relationships, enriching our comprehension of power system behavior and offering a tool for distinguishing between different nonlinearities and visualizing their distinct patterns through the profile of the proposed index. Full article
(This article belongs to the Special Issue Advances in Complex Dynamics of Energy Flow in Power Grid with High Penetration of Inverter-Based Renewable Resources)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Varun Perumalla  Information and Communication Technology Electric Power Research Institute (EPRI), US

 

 

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