Enabling Computing Techniques for Wide-Area Power System Applications

Topic Information

Dear Colleagues,

Power systems are enduring extraordinary transformations. The substitution of large conventional power plants with dispersed renewable power generators connected to both transmission and distribution networks, variations in energy consumption, the expectation of enhanced system security and resiliency and growing dependence on automated systems all have a significant impact on the daily operation of the electrical grid. Increasing uncertainty levels are one of the direct consequences of these changes: the randomness of renewable energy sources, the complicated electricity market price dynamics and the uncertain load behaviour are some of the most challenging issues to be addressed by system operators. These complex and uncertainties directly influence real-time grid operation. Simultaneously, due to the decrease of power system inertia created by replacing large rotating generators with distributed inverter-based renewable power generators, it is becoming more susceptible to dynamic perturbations.

In addition, the data streaming obtained by the distributed grid sensors cannot inform power system operators directly, who must undertake exhaustive numerical computations focused on improving situational awareness, with the essential measures and alerts to control the system and avoid significant grid perturbations or avoid the impacts of several contingencies.

The purpose of the proposed Topic on "Enabling Computing Techniques for Wide-Area Power System Applications" is to provide a comprehensive view on the development of enhanced power system operations tools, which include wide-area monitoring protection and control systems, which enable system-wide data processing for improving situational awareness, mitigating the impacts of significant disturbances and reducing the probability of catastrophic events.

Topics of interest for this Topic include but are not limited to:

• Application and designs of wide-area monitoring protection and control systems;
• Communication networks for wide-area monitoring protection and control systems;
• Uncertainties modeling and management in wide-area power system applications;
• Knowledge discovery from large-scale synchrophasor datasets;
• Cardinality reduction and data compression;
• Learning techniques for high-performance computing.

Dr. Chun Sing Lai
Dr. Ahmed F. Zobaa
Dr. Alfredo Vaccaro
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.7	4.5	2011	15.8 Days	CHF 2300
Electronics electronics	2.9	4.7	2012	15.8 Days	CHF 2200
Energies energies	3.2	5.5	2008	15.7 Days	CHF 2600
Processes processes	3.5	4.7	2013	13.9 Days	CHF 2400
Systems systems	1.9	3.3	2013	16.4 Days	CHF 2400

Published Papers (3 papers)

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All Applied Sciences Electronics Energies Processes Systems

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17 pages, 8277 KiB  

Open AccessArticle

Electrical Event Detection and Monitoring Data Storage from Wide Area Measurement System

by

Vinicius Tertulino Parede

,

Alexandre Rasi Aoki

,

Mateus Duarte Teixeira

,

Thelma S. Piazza Fernandes

,

Nathan Elias Maruch Barreto

,

Flavio Lori Grando

,

Vanderlei Aparecido da Silva

,

Fabio Alessandro Guerra

,

Milton Pires Ramos

,

Clayton Hilgemberg da Costa

,

Bruna Machado Mulinari

,

Germano Lambert-Torres

,

Ricardo Rodrigues de Almeida

,

Rafael Rodrigues

,

Victor Frederico Müller Junior

and

André Katayama dos Santos

Energies 2023, 16(4), 1713; https://doi.org/10.3390/en16041713 - 09 Feb 2023

Cited by 1 | Viewed by 813

Abstract

Synchronized phasor measurement systems are being widely used around the world and have become essential elements in the evolution of the operation of large electrical power systems (EPS). These systems, called Phasor Measurement Units (PMUs), are capable of recording and communicating dynamic data [...] Read more.

Synchronized phasor measurement systems are being widely used around the world and have become essential elements in the evolution of the operation of large electrical power systems (EPS). These systems, called Phasor Measurement Units (PMUs), are capable of recording and communicating dynamic data from the EPSs in a synchronized way by GPS and with a high sampling rate, generate a huge set of data that, among many applications, has the capacity to detect events. In this way, this work presents a data management system architecture applied to a real PMU system located in the state of Paraná, Brazil that detects and storages events using principal component analysis and Pearson correlation. This method can detect and store electrical events that occurred during the operation of the national interconnected system of Brazil with good results. Full article

(This article belongs to the Topic Enabling Computing Techniques for Wide-Area Power System Applications)

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18 pages, 2433 KiB  

Open AccessArticle

Optimisation Configuration of Overhead-Line Segmentation Switch of a Distribution Network Based on Global Combination Criterion

by

Wensi Cao

,

Zhaohui Li

and

Yuxiang Li

Processes 2022, 10(10), 1976; https://doi.org/10.3390/pr10101976 - 01 Oct 2022

Cited by 1 | Viewed by 861

Abstract

Under certain constraints, the optimisation of the position and number of sectional switches in overhead lines in distribution networks can improve the reliability and economy of the power supply. Therefore, a global combination criterion is proposed to simultaneously evaluate the combination performance of [...] Read more.

Under certain constraints, the optimisation of the position and number of sectional switches in overhead lines in distribution networks can improve the reliability and economy of the power supply. Therefore, a global combination criterion is proposed to simultaneously evaluate the combination performance of multiple switch positions, which avoids the tedious traditional problem of adjusting only one switch position at a time and that can possibly fall into a local-optimum problem. We directly determine the optimal solution and ensure a global optimum. Firstly, the optimal switching position in each line segment is analysed as an alternative switching position. Subsequently, the optimal installation-position combination that corresponds to a given number of switches is determined according to the global combination criterion. If the constraints are satisfied, the number of switches is increased by one, and the optimal installation-position combination is then determined until the constraints are not satisfied. This process ensures not only the global optimum of the switch position but also the optimum number of switches. Finally, examples are given to demonstrate that the proposed method can further optimise the switch configuration. The utility model effectively improves the device utilisation rate, reduces the influence range of the fault, and improves power supply reliability. Full article

(This article belongs to the Topic Enabling Computing Techniques for Wide-Area Power System Applications)

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17 pages, 4771 KiB  

Open AccessArticle

Cable Fault Location in VSC-HVDC System Based on Improved Local Mean Decomposition

by

Wensi Cao

,

Zhaohui Li

,

Mingming Xu

and

Rongze Niu

Processes 2022, 10(8), 1655; https://doi.org/10.3390/pr10081655 - 21 Aug 2022

Cited by 1 | Viewed by 913

Abstract

Aiming at the problem of low positioning accuracy caused by modal aliasing and noise interference in DC cable fault location analysis of a VSC-HVDC system, a double-ended fault location method for flexible DC cables based on improved local mean decomposition is proposed. Firstly, [...] Read more.

Aiming at the problem of low positioning accuracy caused by modal aliasing and noise interference in DC cable fault location analysis of a VSC-HVDC system, a double-ended fault location method for flexible DC cables based on improved local mean decomposition is proposed. Firstly, the local mean decomposition (LMD) is used to decompose the six-mode voltage signal to obtain the product function (PF) component; then, to overcome the problem that the instantaneous frequency function of the LMD is limited by the extreme value, the Hilbert transform is performed on the PF1 to obtain the instantaneous frequency curve, and the arrival time of the voltage traveling wave head is determined from the mutation information. Finally, the fault distance is obtained by using the principle of double-ended traveling wave fault location. Different fault conditions are simulated, analyzed, and compared with wavelet transform and Hilbert–Huang transform. The results show that the proposed method has a positioning error within 1%, and it is less affected by interference noise and transition resistance. Full article

(This article belongs to the Topic Enabling Computing Techniques for Wide-Area Power System Applications)

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