EMC and Reliability of Power Networks

Topic Information

Dear Colleagues,

The global push towards net zero is placing a greater emphasis on energy quality, integrity, security and resilience than ever before as renewable electricity, largely from photovoltaic solar and wind sources, is growing to both provide the much-needed additional energy capacity as well as replace existing fossil fuels.

This process is leading a (r)evolution of modern power distribution and transmission networks in both network topology, as HVDC becomes more prominent and needs to coexist within a heterogeneous transmission system, and in operating procedures with the introduction of new technologies, new sophisticated control schemes, information communication technology (ICT) systems, etc.

EMC plays an essential role in defining the energy quality and systems’ reliability as there are many aspects of the network that can create, or be susceptible to, EMI. Modern networks are subject to a wide range of disturbances, both natural, such as lightning strikes and faults induced by weather conditions (ice, falling trees, storms), and human-made, due to switching devices and intentional electromagnetic interference (IEMI).

These disturbances can lead to effects ranging from sensitive load damage and insulation deterioration, and even to power supply interruption and blackout.

It is clear that the electromagnetic environment of power networks is becoming increasingly complex, with new challenges that need addressing. This Topic will address EMI issues in power transmission systems in the widest sense, including issues of noise coupling, partial discharge events, non-linearities between different parts of a network, and challenges to controlling and monitoring systems. Papers addressing issues of fundamental theory, modelling, mitigation, monitoring, detection, or specific case studies will be of particular interest.

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

• Simulation of power transmission line electromagnetic transients;
• New modelling techniques in the frequency and time domain to simulate power networks involving phenomena with a wide range of frequencies;
• Co-simulation of transmission–distribution–communication models;
• Aging of structures due to electrical and mechanical stress;
• Fault location techniques;
• Partial discharge location techniques;
• HVDC and HVAC networks;
• Online power network diagnosis and monitoring techniques;
• EMI and IEMI;
• Lightning strikes.

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Energies energies	3.252	5.5	2008	15.5 Days	2200 CHF	Submit
Sensors sensors	3.847	6.8	2001	15 Days	2400 CHF	Submit
Electronics electronics	2.690	4.7	2012	14.4 Days	2000 CHF	Submit
Modelling modelling	-	-	2020	21.5 Days	1000 CHF	Submit
Electricity electricity	-	-	2020	24.2 Days	1000 CHF	Submit

Published Papers (2 papers)

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All Energies Sensors Electronics Modelling Electricity

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Open AccessArticle

A Partial Discharge Localization Method Based on the Improved Artificial Fish Swarms Algorithm

by

Hao Qiang

,

Qun Wang

,

Hui Niu

,

Zhaoqi Wang

and

Jianfeng Zheng

Energies 2023, 16(6), 2928; https://doi.org/10.3390/en16062928 - 22 Mar 2023

Viewed by 624

Abstract

Accurate localization of partial discharge in GIS equipment remains a key focus of daily maintenance for substations, which can be achieved through advanced detection and location techniques, as well as regular maintenance and testing of the equipment. However, there is currently an issue [...] Read more.

Accurate localization of partial discharge in GIS equipment remains a key focus of daily maintenance for substations, which can be achieved through advanced detection and location techniques, as well as regular maintenance and testing of the equipment. However, there is currently an issue with low accuracy in the localization algorithm. Aiming at the problems of low precision and local optimization of the swarm intelligence algorithm in partial discharge localization system of GIS equipment, this paper proposes a 3D localization algorithm based on a time difference of arrival (TDOA) model of the improved artificial fish swarm algorithm (IAFSA). By introducing the investigation behaviour of the artificial bee colony(ABC) algorithm into the artificial fish swarms algorithm (AFSA), this algorithm is more efficient to jump out of the local extremum, enhance the optimization performance, improve the global search ability and overcome the premature convergence. Furthermore, more precise positioning can be achieved with dynamic parameters. The results of the testing function show that IAFSA is significantly superior to AFSA and particle swarm optimization (PSO) in terms of positioning accuracy and stability. When applied to partial discharge localization experiments, the maximum relative positioning error is less than 2.5%. This validates that the proposed method in this paper can achieve high-precision partial discharge localization, has good engineering application value, and provides strong support for the safe operation of GIS equipment. Full article

(This article belongs to the Topic EMC and Reliability of Power Networks)

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Open AccessArticle

Statistical Study on the Time Characteristics of the Transient EMD Excitation Current from the Pantograph–Catenary Arcing Discharge

by

Mengzhe Jin

,

Shaoqian Wang

,

Shanghe Liu

,

Qingyuan Fang

and

Weidong Liu

Electronics 2023, 12(5), 1262; https://doi.org/10.3390/electronics12051262 - 06 Mar 2023

Viewed by 605

Abstract

Electromagnetic disturbances (EMDs) resulting from arcing discharge between the pantograph and catenary pose a serious threat to the electromagnetic safety of electrified trains. The time characteristic of EMD excitation current has a significant impact on the generation mechanism and characteristics of electromagnetic emission [...] Read more.

Electromagnetic disturbances (EMDs) resulting from arcing discharge between the pantograph and catenary pose a serious threat to the electromagnetic safety of electrified trains. The time characteristic of EMD excitation current has a significant impact on the generation mechanism and characteristics of electromagnetic emission from pantograph–catenary discharge, but there have been few studies on the topic. In this paper, a large sample of time-domain waveform parameters were collected through laboratory measurements considering the high randomness nature of the arcing discharge. The reference distributions of the waveform parameters were selected using the Kolmogorov–Smirnov test, and the probability density function parameters that vary with applied voltages and discharge gap spacings were examined. Then, a stochastic model for the derivation of the discharge current waveform was proposed based on statistical results using a modified double exponential function whose parameters can be derived from physical properties. Waveforms of the excitation currents representing different EMD severities were generated by adjusting the quantiles of the fitting distributions. The validity of the stochastic model was demonstrated by comparing the measured and simulated waveforms for both single pulses and pulse trains. The proposed method and generated waveforms can help recreate the electromagnetic environment of pantograph–catenary arcing. Full article

(This article belongs to the Topic EMC and Reliability of Power Networks)

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