Thematische Bibliographien / Power System Blackouts

Auswahl der wissenschaftlichen Literatur zum Thema „Power System Blackouts“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 15. Februar 2022

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Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Zeitschriftenartikel zum Thema "Power System Blackouts":

1

Haes Alhelou, Hassan, Mohamad Hamedani-Golshan, Takawira Njenda und Pierluigi Siano. „A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges“. Energies 12, Nr. 4 (20.02.2019): 682. http://dx.doi.org/10.3390/en12040682.

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Power systems are the most complex systems and have great importance in modern life. They have direct impacts on the modernization, economic, political and social aspects. To operate such systems in a stable mode, several control and protection techniques are required. However, modern systems are equipped with several protection schemes with the aim of avoiding the unpredicted events and power outages, power systems are still encountering emergency and mal-operation situations. The most severe emergencies put the whole or at least a part of the system in danger. If the emergency is not well managed, the power system is likely to have cascading failures that might lead to a blackout. Due to the consequences, many countries around the world have research and expert teams who work to avoid blackouts on their systems. In this paper, a comprehensive review on the major blackouts and cascading events that have occurred in the last decade are introduced. A particular focus is given on the US power system outages and their causes since it is one of the leading power producers in the world and it is also due to the ready availability of data for the past events. The paper also highlights the root causes of different blackouts around the globe. Furthermore, blackout and cascading analysis methods and the consequences of blackouts are surveyed. Moreover, the challenges in the existing protective schemes and research gaps in the topic of power system blackout and cascading events are marked out. Research directions and issues to be considered in future power system blackout studies are also proposed.
2

Hasanvand, Saeed, Hossein Fallahzadeh-Abarghouei und Esmaeil Mahboubi-Moghaddam. „Power system security improvement using an OPA model and IPSO algorithm“. SIMULATION 96, Nr. 3 (07.11.2019): 325–35. http://dx.doi.org/10.1177/0037549719886356.

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The growing demand for power generation makes power systems increasingly more complex to operate and less secure against outages, so the risk of extensive blackouts is growing and needs to be addressed. Cascading failures are the main reason for extensive blackouts, so to investigate this effect a new method including a standard blackout model, named ORNL-PSerc-Alaska (OPA), and static synchronous series compensator (SSSC) placement using an improved particle swarm optimization (IPSO) algorithm is proposed. This study provides two optimization approaches and presents optimal corrective actions. The results will help operators to implement corrective actions like optimal generation and load redispatching to return the system to a stable operating condition. The effectiveness of the proposed model is demonstrated using a realistic transmission network. Simulation results show a significant effect of SSSC on decreasing the risk of cascading failures and the ability of the proposed method to prevent blackout.
3

Yu, Qun, Na Cao, Qilin Liu, Yuqing Qu und Yumin Zhang. „Self-Organized Criticality and Trend Analysis in Time Series of Blackouts for the China Power Grid“. Mathematical Problems in Engineering 2020 (29.08.2020): 1–8. http://dx.doi.org/10.1155/2020/3075935.

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This paper proposes effective evidence on the correlation between trend and self-organized criticality (SOC) of the power outage sequence in China. Taking the data series of blackouts from 1981 to 2014 in the China power grid as the research object, the method of V/S is introduced into the analysis of the power system blackout sequence to demonstrate their prominent long-time correlations. It also verifies the probability distribution of load loss about blackout size in the China power grid has a tail feature, which shows that the time series of blackouts in the China power grid is consistent with SOC. Meanwhile, a kind of mathematical statistics analysis is presented to prove that there is a seasonal trend of blackouts, and the blackout frequency and blackout size have not decreased over time but have an upward trend in the China power grid, thereby indicating that blackout risk may be increasing with time. The last 34 years’ data samples of power failure accidents in the China power grid are used to test the proposed method, and the numerical results show that the proposed self-organized criticality and trend analysis method can pave the way for further exploration of the mechanism of power failure in the China power grid.
4

Brinkis, K., V. Kreslins und A. Mutule. „Operative and technological management of super-large united power grids: lessons of major world’s blackouts“. Latvian Journal of Physics and Technical Sciences 51, Nr. 1 (01.02.2014): 3–11. http://dx.doi.org/10.2478/lpts-2014-0001.

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ABSTRACT Power system (PS) blackouts still persist worldwide, evidencing that the existing protective structures need to be improved. The discussed requirements and criteria to be met for joint synchronous operation of large and super-large united PSs should be based on close co-ordination of operative and technological management of all PSs involved in order to ensure secure and stable electricity supply and minimise or avoid the threat of a total PS blackout. The authors analyse the July 2012 India blackout - the largest power outage in history, which affected over 620 million people, i.e. half of India’s population and spread across its 22 states. The analysis is of a general character, being applicable also to similar blackouts that have occurred in Europe and worldwide since 2003. The authors summarise and develop the main principles and methods of operative and technological management aimed at preventing total blackouts in large and super-large PSs.
5

Al-Odienat, Abdullah I. „Power System Blackouts: Analysis and Simulation of August 9, 2004 Blackout in Jordan Power System“. Information Technology Journal 5, Nr. 6 (15.10.2006): 1078–82. http://dx.doi.org/10.3923/itj.2006.1078.1082.

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6

Faraji, Jamal, Masoud Babaei, Navid Bayati und Maryam A.Hejazi. „A Comparative Study between Traditional Backup Generator Systems and Renewable Energy Based Microgrids for Power Resilience Enhancement of a Local Clinic“. Electronics 8, Nr. 12 (05.12.2019): 1485. http://dx.doi.org/10.3390/electronics8121485.

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Extreme weather events lead to electrical network failures, damages, and long-lasting blackouts. Therefore, enhancement of the resiliency of electrical systems during emergency situations is essential. By using the concept of standby redundancy, this paper proposes two different energy systems for increasing load resiliency during a random blackout. The main contribution of this paper is the techno-economic and environmental comparison of two different resilient energy systems. The first energy system utilizes a typical traditional generator (TG) as a standby component for providing electricity during the blackouts and the second energy system is a grid-connected microgrid consisting of photovoltaic (PV) and battery energy storage (BES) as a standby component. Sensitivity analyses are conducted to investigate the survivability of both energy systems during the blackouts. The objective function minimizes total net present cost (NPC) and cost of energy (COE) by considering the defined constraints of the system for increasing the resiliency. Simulations are performed by HOMER, and results show that for having almost the same resilience enhancement in both systems, the second system, which is a grid-connected microgrid, indicates lower NPC and COE compared to the first system. More comparison details are shown in this paper to highlight the effectiveness and weakness of each resilient energy system.
7

Wilson, D. „Banishing blackouts [power system oscillations stability]“. Power Engineer 20, Nr. 2 (2006): 38. http://dx.doi.org/10.1049/pe:20060208.

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8

Wu, Yuan-Kang, Shih Ming Chang und Yi-Liang Hu. „Literature Review of Power System Blackouts“. Energy Procedia 141 (Dezember 2017): 428–31. http://dx.doi.org/10.1016/j.egypro.2017.11.055.

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9

Shao, Hongbo, Yubin Mao, Yongmin Liu, Wanxun Liu, Sipei Sun, Peng Jia, Fufeng Miao, Li Yang, Chang Han und Bo Zhang. „A Three-Stage Procedure for Controlled Islanding to Prevent Wide-Area Blackouts“. Energies 11, Nr. 11 (07.11.2018): 3066. http://dx.doi.org/10.3390/en11113066.

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Controlled islanding has been proposed as a last resort action to stop blackouts from happening when all standard methods have failed. Successful controlled islanding has to deal with three important issues: when, and where to island, and the evaluation of the dynamic stability in each island after islanding. This paper provides a framework for preventing wide-area blackouts using wide area measurement systems (WAMS), which consists of three stages to execute a successful islanding strategy. Normally, power system collapses and blackouts occur shortly after a cascading outage stage. Using such circumstances, an adapted single machine equivalent (SIME) method was used online to determine transient stability before blackout was imminent, and was then employed to determine when to island based on transient instability. In addition, SIME was adopted to assess the dynamic stability in each island after islanding, and to confirm that the chosen candidate island cutsets were stable before controlled islanding was undertaken. To decide where to island, all possible islanding cutsets were provided using the power flow (PF) tracing method. SIME helped to find the best candidate islanding cutset with the minimal PF imbalance, which is also a transiently stable islanding strategy. In case no possible island cutset existed, corresponding corrective actions such as load shedding and critical generator tripping, were performed in each formed island. Finally, an IEEE 39-bus power system with 10 units was employed to test this framework for a three-stage controlled islanding strategy to prevent imminent blackouts.
10

Zhang, Fu Chao, und Jia Dong Huang. „Power System Cascading Failure Risk Assessment Model Based on Graph Theory“. Applied Mechanics and Materials 496-500 (Januar 2014): 2844–47. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2844.

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In recent years, large-scale power blackouts occur frequently in power system, resulting in extremely serious economic losses and social impact [. Scholars from various countries have made various levels of analysis on the causes of widespread blackouts from different angles [2-.The results show that most of the fault are caused by the cascading failure, and the linkage and relevance between failures are typical of such events. Accordingly, to strengthen the analysis of cascading has important significances on preventing the occurrence of large-scale power blackouts.
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Zeitschriftenartikel Dissertationen

Dissertationen zum Thema "Power System Blackouts":

1

Panteli, Mathaios. „Impact of ICT reliability and situation awareness on power system blackouts“. Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/impact-of-ict-reliability-and-situation-awareness-on-power-system-blackouts(e5384a73-232c-4edf-b11c-45e8051298d7).html.

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Recent major electrical disturbances highlight the extent to which modern societies depend on a reliable power infrastructure and the impact of these undesirable events on the economy and society. Numerous blackout models have been developed in the last decades that capture effectively the cascade mechanism leading to a partial or complete blackout. These models usually consider only the state of the electrical part of the system and investigate how failures or limitations in this system affect the probability and severity of a blackout.However, an analysis of the major disturbances that occurred during the last decade, such as the North America blackout of 2003 and the UCTE system disturbance of 2006, shows that failures or inadequacies in the Information and Communication Technology (ICT) infrastructure and also human errors had a significant impact on most of these blackouts.The aim of this thesis is to evaluate the contribution of these non-electrical events to the risk of power system blackouts. As the nature of these events is probabilistic and not deterministic, different probabilistic techniques have been developed to evaluate their impact on power systems reliability and operation.In particular, a method based on Monte Carlo simulation is proposed to assess the impact of an ICT failure on the operators’ situation awareness and consequently on their performance during an emergency. This thesis also describes a generic framework using Markov modeling for quantifying the impact of insufficient situation awareness on the probability of cascading electrical outages leading to a blackout. A procedure based on Markov modeling and fault tree analysis is also proposed for assessing the impact of ICT failures and human errors on the reliable operation of fast automatic protection actions, which are used to provide protection against fast-spreading electrical incidents. The impact of undesirable interactions and the uncoordinated operation of these protection schemes on power system reliability is also assessed in this thesis.The simulation results of these probabilistic methods show that a deterioration in the state of the ICT infrastructure and human errors affect significantly the probability and severity of power system blackouts. The conclusion of the work undertaken in this research is that failures in all the components of the power system, and not just the “heavy electrical” ones, must be considered when assessing the reliability of the electrical supply.
2

Zhang, Nan. „Advanced fault diagnosis techniques and their role in preventing cascading blackouts“. Texas A&M University, 2006. http://hdl.handle.net/1969.1/4897.

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This dissertation studied new transmission line fault diagnosis approaches using new technologies and proposed a scheme to apply those techniques in preventing and mitigating cascading blackouts. The new fault diagnosis approaches are based on two time-domain techniques: neural network based, and synchronized sampling based. For a neural network based fault diagnosis approach, a specially designed fuzzy Adaptive Resonance Theory (ART) neural network algorithm was used. Several ap- plication issues were solved by coordinating multiple neural networks and improving the feature extraction method. A new boundary protection scheme was designed by using a wavelet transform and fuzzy ART neural network. By extracting the fault gen- erated high frequency signal, the new scheme can solve the difficulty of the traditional method to differentiate the internal faults from the external using one end transmis- sion line data only. The fault diagnosis based on synchronized sampling utilizes the Global Positioning System of satellites to synchronize data samples from the two ends of the transmission line. The effort has been made to extend the fault location scheme to a complete fault detection, classification and location scheme. Without an extra data requirement, the new approach enhances the functions of fault diagnosis and improves the performance. Two fault diagnosis techniques using neural network and synchronized sampling are combined as an integrated real time fault analysis tool to be used as a reference of traditional protective relay. They work with an event analysis tool based on event tree analysis (ETA) in a proposed local relay monitoring tool. An interactive monitoring and control scheme for preventing and mitigating cascading blackouts is proposed. The local relay monitoring tool was coordinated with the system-wide monitoring and control tool to enable a better understanding of the system disturbances. Case studies were presented to demonstrate the proposed scheme. An improved simulation software using MATLAB and EMTP/ATP was devel- oped to study the proposed fault diagnosis techniques. Comprehensive performance studies were implemented and the test results validated the enhanced performance of the proposed approaches over the traditional fault diagnosis performed by the transmission line distance relay.
3

Elizondo, de la Garza David C. „Hidden Failures in Protection Systems and its Impact on Power System Wide-area Disturbances“. Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/31890.

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This document explores Hidden Failures in protection systems, which have been identified as key contributors in the degradation of Power System wide-area disturbances. The Hidden Failure Modes in which the protection systems may fail to operate correctly and their consequences are identified in a theoretical approach. This theoretical side has its practical counterpart since a number of Hidden Failure Modes are found in real wide-area disturbances. The original definition of Hidden Failure, which is a failure that remains undetected and is uncovered by another system event, is included as well as developments on Hidden Failure sequence of events and a methodology for Hidden Failure identification. This method is based on Protection Element Functionality Defects (PEFD), which are applicable to all the elements included in the protective chain. PEFD are classified in two main groups. Primary and Back-up protection schemes applied for Generators, Buses, Transformers and Transmission Lines are analyzed. The abnormal Power System conditions that each Power System element may have are enumerated. A catalogue of the relays or relay systems, in charge of detecting and stopping the continuous presence of the abnormal conditions is developed. Relay families organize this catalogue. The relaying schemes for five Special Protection Systems are described. Thirty-three Hidden Failures Modes are included based on the relaying implementation for Primary protection, Back-up protection and Special Protection Systems. These Hidden Failures Modes are based on PEFD-A. Hidden Failures related to PEFD-B are included in a general fashion. Wide-area disturbances based on NERC reports are analyzed and Hidden Failures are identified employing the developed methodology. The mechanisms in the disturbances are summarized and are applicable to Primary protection, Back-up protection and Special Protection Systems. Regions of Vulnerability and Areas of Consequence definitions are included and are identified for a Power System wide-area disturbance. For some protection schemes the term Condition of Vulnerability was developed. Regions of Vulnerability and Areas of Consequence will bring the initial steps towards the problem solution. Further research directions are oriented towards the development of a computer-based tool to track the regions of vulnerability in real time.
Master of Science
4

Beeravolu, Nagendrakumar. „Predicting Voltage Abnormality Using Power System Dynamics“. ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1722.

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The purpose of this dissertation is to analyze dynamic behavior of a stressed power system and to correlate the dynamic responses to a near future system voltage abnormality. It is postulated that the dynamic response of a stressed power system in a short period of time-in seconds-contains sufficient information that will allow prediction of voltage abnormality in future time-in minutes. The PSSE dynamics simulator is used to study the dynamics of the IEEE 39 Bus equivalent test system. To correlate dynamic behavior to system voltage abnormality, this research utilizes two different pattern recognition methods one being algorithmic method known as Regularized Least Square Classification (RLSC) pattern recognition and the other being a statistical method known as Classification and Regression Tree (CART). Dynamics of a stressed test system is captured by introducing numerous contingencies, by driving the system to the point of abnormal operation, and by identifying those simulated contingencies that cause system voltage abnormality. Normal and abnormal voltage cases are simulated using the PSSE dynamics tool. The results of simulation from PSSE dynamics will be divided into two sets of training and testing set data. Each of the two sets of data includes both normal and abnormal voltage cases that are used for development and validation of a discriminator. This research uses stressed system simulation results to train two RLSC and CART pattern recognition models using the training set obtained from the dynamic simulation data. After the training phase, the trained pattern recognition algorithm will be validated using the remainder of data obtained from simulation of the stressed system. This process will determine the prominent features and parameters in the process of classification of normal and abnormal voltage cases from dynamic simulation data. Each of the algorithmic or statistical pattern recognition methods have their advantages and disadvantages and it is the intention of this dissertation to use them only to find correlations between the dynamic behavior of a stressed system in response to severe contingencies and the outcome of the system behavior in a few minutes into the future.
5

Bukhsh, Waqquas Ahmed. „Islanding model for preventing wide-area blackouts and the issue of local solutions of the optimal power flow problem“. Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9671.

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Optimization plays a central role in the control and operation of electricity power networks. In this thesis we focus on two very important optimization problems in power systems. The first is the optimal power flow problem (OPF). This is an old and well-known nonconvex optimization problem in power system. The existence of local solutions of OPF has been a question of interest for decades. Both local and global solution techniques have been put forward to solve OPF problem but without any documented cases of local solutions. We have produced test cases of power networks with local solutions and have collected these test cases in a publicly available online archive (http://www.maths.ed.ac.uk/optenergy/LocalOpt/), which can be used now by researchers and practitioners to test the robustness of their solution techniques. Also a new nonlinear relaxation of OPF is presented and it is shown that this relaxation in practice gives tight lower bounds of the global solution of OPF. The second problem considered is how to split a network into islands so as to prevent cascading blackouts over wide areas. A mixed integer linear programming (MILP) model for islanding of power system is presented. In recent years, islanding of power networks is attracting attention, because of the increasing occurrence and risk of blackouts. Our proposed approach is quite flexible and incorporates line switching and load shedding. We also give the motivation behind the islanding operation and test our model on variety of test cases. The islanding model uses DC model of power flow equations. We give some of the shortcomings of this model and later improve this model by using piecewise linear approximation of nonlinear terms. The improved model yields good feasible results very quickly and numerical results on large networks show the promising performance of this model.
6

Henneaux, Pierre. „A two-level Probabilistic Risk Assessment of cascading failures leading to blackout in transmission power systems“. Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209433.

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In our society, private and industrial activities increasingly rest on the implicit assumption that electricity is available at any time and at an affordable price. Even if operational data and feedback from the electrical sector is very positive, a residual risk of blackout or undesired load shedding in critical zones remains. The occurrence of such a situation is likely to entail major direct and indirect economical consequences, as observed in recent blackouts. Assessing this residual risk and identifying scenarios likely to lead to these feared situations is crucial to control and optimally reduce this risk of blackout or major system disturbance. The objective of this PhD thesis is to develop a methodology able to reveal scenarios leading to a blackout or a major system disturbance and to estimate their frequencies and their consequences with a satisfactory accuracy.

A blackout is a collapse of the electrical grid on a large area, leading to a power cutoff, and is due to a cascading failure. Such a cascade is composed of two phases: a slow cascade, starting with the occurrence of an initiating event and displaying characteristic times between successive events from minutes to hours, and a fast cascade, displaying characteristic times between successive events from milliseconds to tens of seconds. In cascading failures, there is a strong coupling between events: the loss of an element increases the stress on other elements and, hence, the probability to have another failure. It appears that probabilistic methods proposed previously do not consider correctly these dependencies between failures, mainly because the two very different phases are analyzed with the same model. Thus, there is a need to develop a conceptually satisfying probabilistic approach, able to take into account all kinds of dependencies, by using different models for the slow and the fast cascades. This is the aim of this PhD thesis.

This work first focuses on the level-I which is the analysis of the slow cascade progression up to the transition to the fast cascade. We propose to adapt dynamic reliability, an integrated approach of Probabilistic Risk Analysis (PRA) developed initially for the nuclear sector, to the case of transmission power systems. This methodology will account for the double interaction between power system dynamics and state transitions of the grid elements. This PhD thesis also introduces the development of the level-II to analyze the fast cascade, up to the transition towards an operational state with load shedding or a blackout. The proposed method is applied to two test systems. Results show that thermal effects can play an important role in cascading failures, during the first phase. They also show that the level-II analysis after the level-I is necessary to have an estimation of the loss of supplied power that a scenario can lead to: two types of level-I scenarios with a similar frequency can induce very different risks (in terms of loss of supplied power) and blackout frequencies. The level-III, i.e. the restoration process analysis, is however needed to have an estimation of the risk in terms of loss of supplied energy. This PhD thesis also presents several perspectives to improve the approach in order to scale up applications to real grids.


Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

7

Norris, Sean William. „Preventing wide area blackouts in transmission systems : a new approach for intentional controlled islanding using power flow tracing“. Thesis, Durham University, 2014. http://etheses.dur.ac.uk/10713/.

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A novel method to reduce the impact of wide area blackouts in transmission networks is presented. Millions of customers are affected each year due to blackouts. Splitting a transmission system into smaller islands could significantly reduce the effect of these blackouts. Large blackouts are typically a result of cascading faults which propagate throughout a network where Intentional Controlled Islanding (ICI) has the advantage of containing faults to smaller regions and stop them cascading further. Existing methodologies for ICI are typically calculated offline and will form pre-determined islands which can often lead to excessive splits. This thesis developed an ICI approach based on real time information which will calculate an islanding solution quickly in order to provide a ‘just-in-time’ strategy. The advantage of this method is that the island solution is designed based on the current operating point, but well also be designed for the particular disturbance location and hence will avoid unnecessary islanding. The new method will use a power flow tracing technique to find a boundary around a disturbance which forms the island that will be cut. The tracing method required only power flow information and so, can be computed quite quickly. The action of islanding itself can be a significant disturbance, therefore any islanding solution should aim to add as little stress as possible to the system. While methods which minimise the power imbalance and total power disrupted due to splitting are well documented, there has been little study into the effect islanding would have on voltage. There a new approach to consider the effects that islanding will have on the voltage stability of the system is developed. The ICI method is based on forming an island specific to a disturbance. If the location of a source is known along with information that a blackout is imminent, the methodology will find the best island in which to contain that disturbance. This is a slightly different approach to existing methods which will form islands independent of disturbance location knowledge. An area of influence is found around a node using power flow tracing, which consists of the strongly connected elements to the disturbance. Therefore, low power flows can be disconnected. This area of influence forms the island that will be disconnected, leaving the rest of the system intact. Hence minimising the number of islands formed. Finally the methodology is compared to the existing methods to show that the new tool developed in this thesis can find better solutions and that a new way of thinking about power system ICI can be put forward.
8

Beeravolu, Nagendrakumar. „Pattern Recognition of Power Systems Voltage Stability Using Real Time Simulations“. ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1279.

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The basic idea deals with detecting the voltage collapse ahead of time to provide the operators a lead time for remedial actions and for possible prevention of blackouts. To detect cases of voltage collapse, we shall create methods using pattern recognition in conjunction with real time simulation of case studies and shall develop heuristic methods for separating voltage stable cases from voltage unstable cases that result in response to system contingencies and faults. Using Real Time Simulator in Entergy-UNO Power & Energy Research Laboratory, we shall simulate several contingencies on IEEE 39-Bus Test System and compile the results in two categories of stable and unstable voltage cases. The second stage of the proposed work mainly deals with the study of different patterns of voltage using artificial neural networks. The final stage deals with the training of the controllers in order to detect stability of power system in advance.
9

Krchová, Eva. „Analýza dopadů větrné energie na hospodaření ČEPSu a dopad rozvojových investic firmy ČEPS na českou ekonomiku“. Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192966.

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The aim of master thesis is to analyze the impact of electricity generation from wind on investment activities of CEPS's company, and also to assess the impact of these investments on the Czech economy. The work familiarizes readers with reasons for the development of the transmission system in the Czech Republic, with the concept of blackout and also with apparatus of assessing the impact of investment on the economy of the selected state -- input-output model analysis. The method used to obtain data for this work is based on the literature review, as well as expert advice on the input-output model, consultation with the experts in CEPS and the data provided by them. The theoretical part deals with Czech transmission system, and it is followed by the development of wind energy construction and the problems associated with it, with blackout and readiness of the Czech Republic to the possible failure in electricity supply. In the practical part, there are measures that are built in order to prevent the risk of blackouts in the Czech Republic, there is a more detailed examination of the Plan of development and rehabilitation of Czech transmission system, and there is also described the process of construction of analytical input-output apparatus for analyzing the impact of CEPS's development investments on the Czech economy, approximated by GDP.
10

Holmgren, Åke J. „Quantitative vulnerability analysis of electric power networks“. Doctoral thesis, KTH, Transporter och samhällsekonomi, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3969.

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Disturbances in the supply of electric power can have serious implications for everyday life as well as for national (homeland) security. A power outage can be initiated by natural disasters, adverse weather, technical failures, human errors, sabotage, terrorism, and acts of war. The vulnerability of a system is described as a sensitivity to threats and hazards, and is measured by P (Q(t) > q), i.e. the probability of at least one disturbance with negative societal consequences Q larger than some critical value q, during a given period of time (0,t]. The aim of the thesis is to present methods for quantitative vulnerability analysis of electric power delivery networks to enable effective strategies for prevention, mitigation, response, and recovery to be developed. Paper I provides a framework for vulnerability assessment of infrastructure systems. The paper discusses concepts and perspectives for developing a methodology for vulnerability analysis, and gives examples related to power systems. Paper II analyzes the vulnerability of power delivery systems by means of statistical analysis of Swedish disturbance data. It is demonstrated that the size of large disturbances follows a power law, and that the occurrence of disturbances can be modeled as a Poisson process. Paper III models electric power delivery systems as graphs. Statistical measures for characterizing the structure of two empirical transmission systems are calculated, and a structural vulnerability analysis is performed, i.e. a study of the connectivity of the graph when vertices and edges are disabled. Paper IV discusses the origin of power laws in complex systems in terms of their structure and the dynamics of disturbance propagation. A branching process is used to model the structure of a power distribution system, and it is shown that the disturbance size in this analytical network model follows a power law. Paper V shows how the interaction between an antagonist and the defender of a power system can be modeled as a game. A numerical example is presented, and it is studied if there exists a dominant defense strategy, and if there is an optimal allocation of resources between protection of components, and recovery.
QC 20100831
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Bücher zum Thema "Power System Blackouts":

1

Barkāns, Jēkabs. Protection against blackouts and self-restoration of power systems. Riga: RTU Pub. House, 2009.

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2

Taylor, K. J. The May storm blackout: Inquiry report. [Perth, Australia?]: K.J. Taylor, 1994.

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3

United States. Congress. Senate. Committee on Energy and Natural Resources. Blackout in the Northeast and Midwest: Hearing before the Committee on Energy and Natural Resources, United States Senate, One Hundred Eighth Congress, second session, on the reliability of the nation's electricity grid, February 24, 2004. Washington: U.S. G.P.O., 2004.

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United States. Congress. House. Committee on Energy and Commerce. Blackout 2003: How did it happen and why? : hearing before the Committee on Energy and Commerce, House of Representatives, One Hundred Eighth Congress, first session, September 3 and September 4, 2003. Washington: U.S. G.P.O., 2004.

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5

United States. Congress. House. Committee on Science. Subcommittee on Energy. Keeping the lights on: Removing barriers to technology to prevent blackouts : hearing before the Subcommittee on Energy, Committee on Science, House of Representatives, One Hundred Eighth Congress, first session, September 25, 2003. Washington: U.S. G.P.O., 2004.

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6

U.S.-Canada Power System Outage Task Force. Final report on the August 14, 2003 blackout in the United States and Canada: Causes and recommendations. [Ottawa: Natural Resources Canada, 2004.

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7

Learning from the blackouts: Transmission system security in competitive electricity markets. Paris: International Energy Agency, 2005.

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8

Savulescu, Savu C. Real-Time Stability in Power Systems: Techniques for Early Detection of the Risk of Blackout. Springer US, 2010.

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9

Savulescu, Savu C. Real-Time Stability in Power Systems: Techniques for Early Detection of the Risk of Blackout. Springer, 2014.

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10

Savulescu, Savu C. Real-Time Stability in Power Systems: Techniques for Early Detection of the Risk of Blackout (Power Electronics and Power Systems). Springer, 2005.

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Buchteile zum Thema "Power System Blackouts":

1

Čepin, Marko. „Introduction to Blackouts“. In Assessment of Power System Reliability, 15–25. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-688-7_2.

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2

Borghetti, Alberto, Carlo Alberto Nucci und Mario Paolone. „Restoration Processes after Blackouts“. In Handbook of Electrical Power System Dynamics, 864–99. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118516072.ch14.

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3

Besanger, Yvon, Mircea Eremia und Nikolai Voropai. „Major Grid Blackouts: Analysis, Classification, and Prevention“. In Handbook of Electrical Power System Dynamics, 789–863. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118516072.ch13.

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4

Liu, Boyu, Bowen Zhou, Dianke Jiang, Ziheng Yu, Xiao Yang und Xiangjin Ma. „Distributed Accommodation for Distributed Generation – From the View of Power System Blackouts“. In Communications in Computer and Information Science, 236–46. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2381-2_22.

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5

Venkatanagaraju, Kasimala, und Monalisa Biswal. „Mitigation of Power System Blackout with Microgrid System“. In Lecture Notes in Electrical Engineering, 307–32. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1781-5_11.

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6

Dobson, Ian. „Cascading Network Failure in Power Grid Blackouts“. In Encyclopedia of Systems and Control, 105–8. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_264.

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Dobson, Dr Ian. „Cascading Network Failure in Power Grid Blackouts“. In Encyclopedia of Systems and Control, 1–5. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_264-1.

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Dobson, Ian. „Cascading Network Failure in Power Grid Blackouts“. In Encyclopedia of Systems and Control, 1–4. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_264-2.

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9

Dobson, Ian. „Cascading Network Failure in Power Grid Blackouts“. In Encyclopedia of Systems and Control, 199–202. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_264.

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10

Gairola, Monika, Paramjeet Singh Paliyal, Manish Kashyap und Neeraj Kumar Bahuguna. „Modeling of Solar Emergency System in Power Station to Mitigate Blackout“. In Algorithms for Intelligent Systems, 19–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6307-6_3.

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Konferenzberichte zum Thema "Power System Blackouts":

1

Adibi, M. M., und Nelson Martins. „Impact of power system blackouts“. In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7286025.

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2

Atputharajah, Arulampalam, und Tapan Kumar Saha. „Power system blackouts - literature review“. In 2009 International Conference on Industrial and Information Systems (ICIIS). IEEE, 2009. http://dx.doi.org/10.1109/iciinfs.2009.5429818.

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3

Evans, J. W. „Influence of power system protection on system blackouts“. In IEE Colloquium on Measures to Prevent Power Blackouts. IEE, 1998. http://dx.doi.org/10.1049/ic:19980479.

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4

Gou, Bei, Hui Zheng, Weibiao Wu und Xingbin Yu. „Probability Distribution of Power System Blackouts“. In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.385471.

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5

Gou, Bei, Hui Zheng, Weibiao Wu und Xingbin Yu. „The Statistical Law of Power System Blackouts“. In 2006 38th North American Power Symposium. IEEE, 2006. http://dx.doi.org/10.1109/naps.2006.359617.

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6

Dinh, Viet Thanh, und Hung Huu Le. „Vietnamese 500kV power system and recent blackouts“. In Energy Society General Meeting. IEEE, 2008. http://dx.doi.org/10.1109/pes.2008.4596334.

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Moreno, R., M. A. Rios und A. Torres. „Security schemes of power systems against blackouts“. In 2010 IREP Symposium - Bulk Power System Dynamics and Control - VIII (IREP). IEEE, 2010. http://dx.doi.org/10.1109/irep.2010.5563271.

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Bei Gou und Weibiao Wu. „Is the prediction of power system blackouts possible?“ In Energy Society General Meeting. IEEE, 2008. http://dx.doi.org/10.1109/pes.2008.4596790.

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9

Venkatanagaraju, Kasimala, und Monalisa Biswal. „Prevention of Power System Blackouts Using Windowed-Prony Method“. In 2020 IEEE 9th Power India International Conference (PIICON). IEEE, 2020. http://dx.doi.org/10.1109/piicon49524.2020.9112951.

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10

Meng Ding Zhong. „Experience and countermeasure of power system blackouts world-wide“. In 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20062270.

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Berichte der Organisationen zum Thema "Power System Blackouts":

1

Phadke, A. G., S. H. Horowitz und J. S. Thorp. Anatomy of power system blackouts and preventive strategies by rational supervision and control of protection systems. Office of Scientific and Technical Information (OSTI), Januar 1995. http://dx.doi.org/10.2172/32561.

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