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Voltage Stability Analysis in Power Systems
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Voltage Stability Analysis in Power Systems

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

Deadline for manuscript submissions: closed (20 July 2021) | Viewed by 14841

Special Issue Editor

Prof. Dr. Cristina González-Morán

E-Mail Website
Guest Editor
Electrical Engineering Department, University of Oviedo.Campus de Gijón, 33204 Gijón, Asturias, Spain
Interests: power systems analysis; power generation; microgrids optimization; renewable energy technologies; distributed generation; frequency and voltage control in power sysems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Voltage control and its associated stability problems have always received special attention in power systems operation and analysis. Proper voltage controls are requested to guarantee safety, quality, and stability in transmission and distribution of electricity. Voltage control might also be used to improve economic performance.    

Traditionally, the main reason for voltage control has been load variation. However, near-future power systems will be related to higher degrees of complexity due to the recent advances in distributed generators, renewable energy sources, and highly dynamic loads. Distributed generators have translated voltage control and stability issues from transmission to distributed systems. The increasing penetration of distributed generation gives the opportunity to widely develop more active distribution networks and more advanced distribution management strategies that have triggered the contribution of distribution systems to voltage stability.

Even in transmission systems, the growing influence of great renewable generators, such as offshore wind plants, has changed the paradigm of power system voltage stability with their intermittent and stochastic nature.

This Special Issue focuses on relevant research to assure voltage stability in new scenarios for future power systems.

Prof. Dr. Cristina González-Morán
Guest Editor

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.

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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.

Keywords

  • Power system stability
  • Voltage stability
  • Voltage control
  • Voltage collapse
  • Distributed generation
  • Reactive power control
  • FACTS controllers

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Published Papers (5 papers)

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Research

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16 pages, 1409 KiB  
Article
Chance-Constrained Based Voltage Control Framework to Deal with Model Uncertainties in MV Distribution Systems
by Bashir Bakhshideh Zad, Jean-François Toubeau and François Vallée
Energies 2021, 14(16), 5161; https://doi.org/10.3390/en14165161 - 20 Aug 2021
Viewed by 1209
Abstract
In this paper, a chance-constrained (CC) framework is developed to manage the voltage control problem of medium-voltage (MV) distribution systems subject to model uncertainty. Such epistemic uncertainties are inherent in distribution system analyses given that an exact model of the network components is [...] Read more.
In this paper, a chance-constrained (CC) framework is developed to manage the voltage control problem of medium-voltage (MV) distribution systems subject to model uncertainty. Such epistemic uncertainties are inherent in distribution system analyses given that an exact model of the network components is not available. In this context, relying on the simplified deterministic models can lead to insufficient control decisions. The CC-based voltage control framework is proposed to tackle this issue while being able to control the desired protection level against model uncertainties. The voltage control task disregarding the model uncertainties is firstly formulated as a linear optimization problem. Then, model uncertainty impacts on the above linear optimization problem are evaluated. This analysis defines that the voltage control problem subject to model uncertainties should be modelled with a joint CC formulation. The latter is accordingly relaxed to individual CC optimizations using the proposed methods. The performance of proposed CC voltage control methods is finally tested in comparison with that of the robust optimization. Simulation results confirm the accuracy of confidence level expected from the proposed CC voltage control formulations. The proposed technique allows the system operators to tune the confidence level parameter such that a tradeoff between operation costs and conservatism level is attained. Full article
(This article belongs to the Special Issue Voltage Stability Analysis in Power Systems)
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17 pages, 5997 KiB  
Article
Investigation Concerning the Excitation Loss of Synchronous Generators in a Stand-Alone Ship Power Plant
by Dariusz Tarnapowicz, Sergey German-Galkin and Marek Staude
Energies 2021, 14(10), 2828; https://doi.org/10.3390/en14102828 - 14 May 2021
Cited by 1 | Viewed by 2147
Abstract
The protection systems of ship generators enable them to eliminate potential failures that pose a significant threat to the safety of the crew and the use of the ship. However, due to the fact that marine classification societies do not require the protection [...] Read more.
The protection systems of ship generators enable them to eliminate potential failures that pose a significant threat to the safety of the crew and the use of the ship. However, due to the fact that marine classification societies do not require the protection of generators against the loss of excitation, such protection is only used sporadically. This article presents an LOE (loss of excitation) analysis of ship generators that operate in parallel. This analysis is supported by simulations and experimental research. The test results show that the positions of the operating points of each generator are interrelated, and changes in the excitation of one (damaged) generator cause automatic changes in the excitation, as well as changes in electromagnetic and energy processes, in the second (efficient) generator. An LOE in one generator causes a dangerous increase in armature currents in both generators. The results of this study prove that the lack of LOE protection at lower levels of excitement in one of the generators causes (by activating the required protection) the efficient generator to be switched off first. The main conclusion of this article is that the introduction of the use of security measures against LOE should be obligatory and legally required. Full article
(This article belongs to the Special Issue Voltage Stability Analysis in Power Systems)
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15 pages, 9964 KiB  
Article
Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems
by Mohammed Alzubaidi, Kazi N. Hasan, Lasantha Meegahapola and Mir Toufikur Rahman
Energies 2021, 14(8), 2328; https://doi.org/10.3390/en14082328 - 20 Apr 2021
Cited by 22 | Viewed by 2794
Abstract
This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate sampling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different sampling techniques are investigated and compared to each [...] Read more.
This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate sampling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different sampling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance sampling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the sampling techniques compared to each other. All the six sampling techniques provide more than 99% accuracy by producing a large number of wind speed random samples (8760 samples). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient sampling techniques, providing more than 96% accuracy with only a small number of generated samples (150 samples) compared to other techniques. Full article
(This article belongs to the Special Issue Voltage Stability Analysis in Power Systems)
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15 pages, 342 KiB  
Article
Voltage Stability Analysis in Medium-Voltage Distribution Networks Using a Second-Order Cone Approximation
by Oscar Danilo Montoya, Walter Gil-González, Andrés Arias-Londoño, Arul Rajagopalan and Jesus C. Hernández
Energies 2020, 13(21), 5717; https://doi.org/10.3390/en13215717 - 2 Nov 2020
Cited by 9 | Viewed by 2454
Abstract
This paper addresses the voltage stability margin calculation in medium-voltage distribution networks in the context of exact mathematical modeling. This margin calculation is performed with a second-order cone (SOCP) reformulation of the classical nonlinear non-convex optimal power flow problems. The main idea around [...] Read more.
This paper addresses the voltage stability margin calculation in medium-voltage distribution networks in the context of exact mathematical modeling. This margin calculation is performed with a second-order cone (SOCP) reformulation of the classical nonlinear non-convex optimal power flow problems. The main idea around the SOCP approximation is to guarantee the global optimal solution via convex optimization, considering as the objective function the λ-coefficient associated with the maximum possible increment of the load consumption at all the nodes. Different simulation cases are considered in one test feeder, described as follows: (i) the distribution network without penetration of distributed generation; (ii) the distribution network with penetration of distributed generation; and (iii) the distribution grid with capacitive compensation. Numerical results in the test system demonstrated the effectiveness of the proposed SOCP approximation to determine the λ-coefficient. In addition, the proposed approximation is compared with nonlinear tools available in the literature. All the simulations are carried out in the MATLAB software with the CVX package and the Gurobi solver. Full article
(This article belongs to the Special Issue Voltage Stability Analysis in Power Systems)
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Review

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17 pages, 2365 KiB  
Review
Comprehensive Review of Short-Term Voltage Stability Evaluation Methods in Modern Power Systems
by Aleksandar Boričić, José L. Rueda Torres and Marjan Popov
Energies 2021, 14(14), 4076; https://doi.org/10.3390/en14144076 - 6 Jul 2021
Cited by 22 | Viewed by 4642
Abstract
The possibility to monitor and evaluate power system stability in real-time is in growing demand. Whilst most stability-related studies focus on long-term voltage stability and frequency stability, very little attention is given to the issue of short-term (voltage) instability. In this paper, the [...] Read more.
The possibility to monitor and evaluate power system stability in real-time is in growing demand. Whilst most stability-related studies focus on long-term voltage stability and frequency stability, very little attention is given to the issue of short-term (voltage) instability. In this paper, the most common evaluation methods present in the literature are summarized, with a focus on their applicability to modern power systems with a large amount of renewable energy integration. The paper presents a first-of-a-kind structured review of this topic. We find that all existing methods have noteworthy limitations that necessitate further improvements. Additionally, the need of having an inclusive short-term instability prediction method is demonstrated, due to strong interactions between various short-term instability mechanisms. These findings provide a good foundation for further research and advancement in the field of real-time stability monitoring. Full article
(This article belongs to the Special Issue Voltage Stability Analysis in Power Systems)
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