Relevant bibliographies by topics / Power system analysis toolbox

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Academic literature on the topic 'Power system analysis toolbox'

Author: Grafiati
Published: 2 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "Power system analysis toolbox"

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Abur, A., F. Magnago, and Y. Lu. "Educational toolbox for power system analysis." IEEE Computer Applications in Power 13, no. 4 (2000): 31–35. http://dx.doi.org/10.1109/67.876868.

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Milano, F. "An Open Source Power System Analysis Toolbox." IEEE Transactions on Power Systems 20, no. 3 (2005): 1199–206. http://dx.doi.org/10.1109/tpwrs.2005.851911.

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Dharwad, Vijayalaxmi, Sweta Belliwali, and Shekhappa G. Ankaliki. "Contingency Analysis of A Power System Using PSAT Power System Toolbox." i-manager's Journal on Power Systems Engineering 3, no. 1 (2015): 29–32. http://dx.doi.org/10.26634/jps.3.1.3357.

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Khaldi, Mohamad R. "Power Systems Analysis Toolbox: Planning and Contingency." Advanced Materials Research 433-440 (January 2012): 3884–89. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3884.

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Outages and planning primarily account for the removal and addition of new buses, generating power plants, transmission lines, loads, and control devices, respectively. They occur regularly in power systems operation and restoration, and hence a power system is constantly changing its topology. Therefore, there is a need for a software package to emulate these changes. Power System Analysis Toolbox (PSAT) is designed and developed in Matlab environment to simulate contingencies and expansion of power systems. The IEEE 14-bus power system is used to illustrate the effectiveness of the proposed work.
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Özlü, İsmail Alperen, Olzhas Baimakhanov, Almaz Saukhimov, and Oğuzhan Ceylan. "A Heuristic Methods-Based Power Distribution System Optimization Toolbox." Algorithms 15, no. 1 (2021): 14. http://dx.doi.org/10.3390/a15010014.

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This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, namely Gray Wolf Optimization (GWO), Ant Lion Optimization (ALO), and Whale Optimization Algorithm (WOA), for the efficient operation of power distribution systems. The toolbox consists of two main functionalities. The first one allows the user to select the test system to be solved (33-, 69-, or 141-bus test systems), the locations of the distributed generators (DGs), and the voltage regulators. In addition, the user selects the daily active power output profiles of the DGs, and the tool solves the voltage deviation problem for the specified time of day. The second functionality involves the simulation of energy storage systems and provides the optimal daily power output of the resources. With this program, a graphical user interface (GUI) allows users to select the test system, the optimization method to be used, the number of DGs and locations, the locations and number of battery energy storage systems (BESSs), and the tap changer locations. With the simple user interface, the user can manage the distribution system simulation and see the results by making appropriate changes to the test systems.
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Goud, G. Sathish, and R. Senthil Kumar. "Voltage profile enhancement in grid system using expert system." International Journal of Applied Power Engineering (IJAPE) 14, no. 2 (2025): 449. https://doi.org/10.11591/ijape.v14.i2.pp449-458.

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Frequent and severe blackouts are been attributed to insufficient voltage stability, resulting in voltage collapse. To mitigate this issue and ensure adequate voltage stability and damping in power systems, this study explores smart grid solutions. The proposed control strategies are applied to a distribution static synchronous compensator (DSTATCOM) within a multi-machine system. The recommended approach, radial basis function neural network (RBFNN)-DSTATCOM with support vector machine (SVM), incorporates a PI controller to minimize system deviations. The damping performance of the RBFNN-DSTATCOM controller is analyzed against a fixed-parameter proportional-integral (PI)-DSTATCOM controller. Simulation analysis indicates that the proposed RBFNN-DSTATCOM controller effectively enhances power system stability under various disturbances and operating conditions. Critical bus graphs are provided for scenarios both with and without the DSTATCOM. A parametric evaluation is conducted using the 'powergui' toolbox based on the system's standard ratings. Finally, a comparative analysis is presented, utilizing the results from both systems, with all graphs plotted against time using the power system analysis toolbox (PSAT) in MATLAB.
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Bukhsh, Waqquas, Calum Edmunds, and Keith Bell. "OATS: Optimisation and Analysis Toolbox for Power Systems." IEEE Transactions on Power Systems 35, no. 5 (2020): 3552–61. http://dx.doi.org/10.1109/tpwrs.2020.2986081.

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Lakshmi, S. Subbu. "Voltage Stability Assessment of a Power System Incorporating Wind Turbine Using Power System Analysis Toolbox (Psat)." IOSR Journal of Electrical and Electronics Engineering 9, no. 2 (2014): 19–25. http://dx.doi.org/10.9790/1676-09261925.

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Hsu, W. T., L. W. Liang, C. C. Yang, and C. W. Huang. "Analysis of load flow based on power system analysis software package by using the IEEE 30-bus system." Journal of Physics: Conference Series 2878, no. 1 (2024): 012035. http://dx.doi.org/10.1088/1742-6596/2878/1/012035.

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Abstract A power-flow study is a numerical analysis to judge the stability of the power system during operation. By analyzing the results of the load flow calculations, the transmission line, the load distribution, the power factor, the equipment capacity, the distribution network, and the power quality and reliability of the distribution network are improved. This paper uses the IEEE 30-Bus system as an example of building a modified system via the power system analysis software package (PSASP) for the power-flow study. Other simulation tools are validated by using the MATPOWER toolbox and MATLAB/Simulink. The result of the load flow calculation for the three simulation tools is almost consistent, so the practicability of the tool is proved. It is verified that the PSASP is one of the reference simulation tools for power system analysis.
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Kobibi, Youcef Islam Djilani, Mohamed Abdeldjalil Djehaf, Mohamed Khatir, and Mohamed Ouadafraksou. "Continuation Power Flow Analysis of Power System Voltage Stability with Unified Power Flow Controller." Journal of Intelligent Systems and Control 1, no. 1 (2022): 60–67. http://dx.doi.org/10.56578/jisc010106.

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The rising power demand has forced power systems all over the world to operate very close to their stability limits. When power systems are overloaded, faulty, or in lack of reactive power, voltage collapses would ensue. The capacity of a power system to keep the voltage of every bus constant under disturbances is called voltage stability. This dynamic phenomenon hinges on the load features. It is commonly known that flexible AC transmission systems (FACTS) can improve voltage stability. This paper puts forward a load flow model with the unified power flow controller (UPFC), and relies on the model to investigate the voltage stability of a power system through continuation power flow (CPF) method. The validity of the model was verified through a simulation, using the power system analysis toolbox (PSAT) in MATLAB/Simulink environment.
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Dissertations / Theses on the topic "Power system analysis toolbox"

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Hasanović, Amer. "A simulation and analysis toolbox for power systems and genetic algorithm based damping controller design." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2173.

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Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains viii, 73 p. : ill. Includes abstract. Includes bibliographical references (p. 71-73).
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Waernlund, Angelica. "Modelling the Nordic Hydro Power System with Spine Toolbox." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293977.

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In the Nordic power system, the largest balancing resource is hydro power. For future developments of the Nordic power system with more renewable and varying energy, such as wind power, the hydro power and its limitations must thus be taken into account. To be able to study this, a model with these limitations is needed. In earlier projects at KTH, a model of the Swedish hydro power system was built, but with the interconnected Nordic power system and the large amount of hydro power in Norway, the Norwegian hydro power system also needs to be considered. In this project, a model of both the Swedish and Norwegian hydro power system is built. Most of the data of the Swedish hydro power system is reused from the earlier projects, while new data of the Norwegian hydro power system is collected. Also data of transmission capacities and power generation and consumption for all areas, both in Sweden and Norway, were needed. Most of the data could be found, or calculated from, the Norwegian Water Resources and Energy Directorate, Nord Pool and Svenska Kraftnät. The new model built in this project includes 363 Norwegian and 256 Swedish hydro power plants, divided into four Swedish and five Norwegian electricity areas. The model is built in Spine Toolbox and is an expanded and remade model based on an earlier, smaller model of the Skellefte river, which maximised the profits of sold electricity. In this project the model is changed to instead minimise the spillage and explore the flexibility of the hydro power system. That is, its possibility to adjust its power generation to both variable levels of demand and other sources of power generation without being forced to spill water. The results from the simulations were hourly values of water flow between hydro power plants, discharged water and spilled water, electricity flow from each hydro power plant and between electricity areas, and reservoir volumes in each reservoir. From this, the simulated production in Sweden, Norway and all their electricity areas could be compared to real data of energy production. This comparison showed that the total simulated production was very similar to real data when factoring out import and export. The spillage and reservoir volumes were also discussed. Further work could improve the models performance, for example adding import and export, implementing minimum reservoir volumes, and base local inflow of water on real data, but overall the model provided promising results. This project has shown that is it possible to build large models in Spine, and adjust them to investigate different cases.<br>I det nordiska kraftsystemet är vattenkraft den största resursen för att balansera variationer i elproduktion. För framtida ändringar och utbyggnader i kraftsystemet med mer förnybara och varierade energikällor, som vindkraft, måste vattenkraften och dess begränsningar tas hänsyn till. För att kunna studera det nordiska kraftsystemet behövs en modell som tar häsyn till dessa begränsningar. I tidigare projekt på KTH togs en modell av det svenska vattenkraftsystemet fram, men med det sammankopplade nordiska kraftsystemet och den stora mängden vattenkraft i Norge, måste även Norges vattenkraftsystem beaktas. I detta projekt skapas en modell över det svenska och norska vattenkraftsystemet. Majoriteten av data för det svenska vattenkraftsystemet återanvänds från tidigare projekt, medan ny data för det norska vattenkraftsystemet samlas in. Även data över överföringskapaciteter och elproduktion och konsumtion för alla områden, både i Sverige och Norge, behövdes. Den nya modellen som byggs i detta projekt inkluderar 363 norska och 256 svenska vattenkraftverk, uppdelade i fyra elområden i Sverige, och fem i Norge. Modellen byggs i Spine Toolbox, och är en ombyggd och expanderad modell, baserad på en tidigare, mindre modell av Skellefteälven som maximerade inkomst från såld energi. I detta projekt ändras modellen till att istället minimera spillet och undersöka flexibiliteten i vattenkraftsystemet. Det vill säga, dess möjlighet att anpassa kraftproduktionen till både varierande efterfrågan och annan elproduktion, utan att tvingas spilla vatten. Resultaten från simuleringarna bestod av timvärden för vattenflöde mellan vattenkraftverk, tappat och spillt vatten, flöde av el från varje kraftverk och mellan elområden, och magasinvolymer. Den simulerade elproduktionen i Sverige, Norge och i alla elområden kunde sedan jämföras med verklig data. Denna jämförelse visade att den totala simulerade produktionen var mycket lik den verkliga vattenkraftproduktionen med import och export exkluderat. Även spill och magasinvolymer diskuterades. Ytterligare arbete kan ge en ännu bättre modell, exempelvis kan framtida arbete vara att lägga till export och import, implementera minimala magasinvolymer, och lägga in verklig data för lokalt inflöde av vatten, men överlag gav dock modellen lovande resultat. Detta projekt har visat att det är möjligt att skapa stora modeller över energisystem i Spine, och anpassa dem för att undersöka olika scenarion och se hur framtida förändringar i kraftsystemet kan påverka, och påverkas av, vattenkraftsystemet.
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Silva, Luisa Santiago Contreiras Brito da. "Quantitative analysis of the autonomic nervous system : toolbox development and application." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/31424.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2017.<br>Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2018-03-09T21:40:22Z No. of bitstreams: 1 2017_LuisaSantiagoContreirasBritodaSilva.pdf: 4732963 bytes, checksum: ed2a7969fde70fe3b2349be5930d780e (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2018-03-13T19:47:49Z (GMT) No. of bitstreams: 1 2017_LuisaSantiagoContreirasBritodaSilva.pdf: 4732963 bytes, checksum: ed2a7969fde70fe3b2349be5930d780e (MD5)<br>Made available in DSpace on 2018-03-13T19:47:49Z (GMT). No. of bitstreams: 1 2017_LuisaSantiagoContreirasBritodaSilva.pdf: 4732963 bytes, checksum: ed2a7969fde70fe3b2349be5930d780e (MD5) Previous issue date: 2018-03-13<br>Fundação de Apoio à Pesquisa do Distrito Federal (FAP-DF).<br>A dinâmica entre a PA e a FC é de malha fechada, na qual a PA influencia a FC através do baroreflexo e a FC influencia a PA através da dinâmica circulatória. A respiração exerce uma influência direta sobre a FC que é mediada pelo SNA, chamada de acoplamento cardiorrespiratório (ACR), e também um efeito mecânico indireto mediado pelo baroreflexo. Enquanto análises espectrais univariáveis e bivariáveis podem ser usadas para avaliar esses mecanismos, são técnicas de malha aberta que são incapazes de diferenciar efeitos de retroalimentação dos efeitos de alimentação direta e também de separar o ACR das influências indiretas da respiração na FC. Para lidar com essas limitações, uma abordagem de identificação de sistemas foi aplicada. O CRSIDLab implementa três modelos: o modelo AR com entradas exógenas (ARX), o modelo de funções de base de Laguerre (FBL) e o modelo de funções de base de Meixner (FBM). As respostas ao impulso, que caracterizam a dinâmica entre cada par de variáveis, são calculadas a partir do modelo estimado. Esses modelos são capazes de isolar o ACR ao considerar ambos VPI e PAS como entradas e conseguem abrir a malha do baroreflexo computacionalmente pela imposição de atrasos entre a PAS e o IRR, caracterizando a resposta ao impulso do baroreflexo arterial (BRA). A partir dessas análises, não só o ganho em cada banda de frequência é fornecido através da transformada de Fourier da resposta ao impulso, mas também informações temporais como o atraso entre duas variáveis. Os resultados mostram que ficar de pé é acompanhado por uma supressão vagal e tom vascular simpático aumentado. Análises de correlação mostraram que as estimativas de ASR e SBR baseadas em análises espectrais não apresentam a mesma informação que as estimativas baseadas no modelo de ACR e BRA. As diferenças encontradas sugerem que as análises baseadas em modelo são efetivas em representar o ACR como uma medida dos efeitos diretos da respiração na FC e o BRA como expressão do baroreflexo independente da dinâmica circulatória. Assim, o CRSIDLab é uma ferramenta poderosa para a determinação não-invasiva de diferentes indicadores quantitativos do SNA. Os resultados mostram que os indicadores estimados refletem a fisiologia subjacente, pois ficar de pé é um estímulo simpático que deveria levar a supressão vagal, conforme observado. Os resultados obtidos também mostram que a abordagem de modelagem de sistemas multivariáveis pode fornecer importantes informações adicionais àquelas encontradas pelas abordagens espectrais mais tradicionais, podendo levar a indicadores quantitativos mais específicos do SNA.<br>The autonomic nervous system (ANS) controls the involuntary functions of the body and its imbalance has been linked to increased risk of cardiac mortality. Heart rate variability (HRV) analysis is usually employed as a non-invasive method for assessing ANS modulation. Traditional measures of HRV are based on the analysis of the beat-to-beat oscillations in heart rate (or its reciprocal, the interval between consecutive R waves on the electrocardiogram - RRI), since heart rate (HR) rhythm is a consequence of sympathetic and parasympathetic activity on the sinoatrial node of the heart. However, these oscillations in beat-to-beat HR are also influenced by mechanisms, such as baroreflex and respiratory sinus arrhythmia (RSA), that affect HRV. Therefore, in this work, a multivariate analysis of the cardiorespiratory system is used. This study consists of two parts: the development of the cardiorespiratory system identification lab (CRSIDLab), a Matlab graphical user interface that provides quantitative indicators of ANS activity from a multivariate system model analysis of cardiorespiratory data, followed by its application on data obtained from subjects in supine and standing postures, illustrating its capabilities. Electrocardiogram (ECG), continuous blood pressure (BP) and airflow were recorded from 23 subjects in supine and standing postures for 10 min and preprocessed on CRSIDLab. In this work the classical HRV and BP variability (BPV) analyses were performed though power spectral density (PSD) analysis of the RRI and the systolic BP (SBP), respectively. CRSIDLab implements three methods for spectral analysis: the Fourier transform, Welch method and AR model. All methods were used to calculate the power of the low frequency (LF: 0.04-0.15 Hz) and high frequency (HF: 0.15-0.4 Hz) bands, as the areas under the PSD curve. For the HRV, the LF/HF ratio was also calculated. Traditional baroreflex sensitivity (BRS) estimates were calculated from the relation between HRV and BPV in the LF and HF regions. Spectral transfer functions were estimated between SBP and RRI, characterizing baroreflex, and between instantaneous lung volume (ILV, derived from the airflow record) and RRI, characterizing RSA, or the effects of respiration on HR, for the determination of the LF and HF gains. BRS was estimated from the gains of the transfer function between SBP and RRI.The dynamics between BP and HR are closed-loop, where BP influences HR through baroreflex and HR influences BP through circulatory dynamics. Respiration has a direct influence on HR that is mediated through the ANS, called the respiratory-cardiac coupling (RCC), and also a mechanical indirect effect mediated through baroreflex. While univariate and bivariate spectral analyses can be used to assess these effects, they are open-loop techniques that are unable to differentiate feedforward from feedback effects and also to separate RCC from the indirect effects of respiration on HR. To address these limitations a system model identification approach was applied. CRSIDLab implements three types of models: the autoregressive with exogenous inputs (ARX) model, the Laguerre basis function (LBF) model, and the Meixner basis function (MBF) model. The impulse responses, which characterize the dynamics between each pair of variables, are calculated from the estimated model. These multivariate models are able to isolate RCC by considering both SBP and ILV as system inputs and are able to computationally open the baroreflex loop through the imposition of time delays between SBP and RRI, characterizing the arterial baroreflex (ABR) impulse response. From this analysis not only the gain for each frequency band is provided from the Fourier transform of the impulse response, but also temporal information such as delays between variables. The results show that standing is accompanied by significant vagal withdrawal and increased sympathetic vascular tone. Correlation analyses showed that the spectral-based RSA and BRS estimates do not present the same information as the model-based RCC and ABR estimates. The differences found suggest the model-based analyses are effective in representing RCC as a measure of the direct effects of respiration on HR and ABR as an expression of baroreflex that is independent from circulatory dynamics. Thus, CRSIDLab is a powerful tool for the non-invasive determination of different quantitative indicators of the ANS. The results show that all estimated indicators reflect the underlying physiology, in the sense that standing is a sympathetic stimulus that should lead to vagal withdrawal, as observed. The results obtained also show that the multivariate system modeling approach can provide important additional information to those found by the more traditional spectral analyses approaches, which could potentially lead to more specific quantitative indicators of the ANS.
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Reim, Erich. "Analysis and visualization of historical traffic data collected on the Stockholm highway system." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-102747.

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The congestion due to traffic is a worldwide occurrence in major cities, where also the biggest part of the human population lives. To be able to control and oversee the ongoing traffic development in cities, traffic operators use different methods to observe the current trend. This is done by collecting data from stationary sensors to mobile sensors like floating car data. The data collected from stationary sensors is stored in a central database. This historical traffic data is used for analysis of traffic behavior along the main roadway network in Stockholm. Areas which are highly congested can be located as well as areas where traffic flows without problems. This thesis deals with methods to analyze and visualize the traffic behavior based on historical traffic data, measured in the city of Stockholm. Therefore a toolbox is implemented which is used to figure out bottlenecks and typical speed and flow patterns along the Stockholm highway system. Based on the typical speed and flow patterns, it is possible to calculate areas that are affected of congestion and also to determine whether congestion appears due to an incident or a bottleneck.
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Seyed, Zadeh Sabounchi Nasim. "Extending the System Dynamics Toolbox to Address Policy Problems in Transportation and Health." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77330.

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System dynamics can be a very useful tool to expand the boundaries of one's mental models to better understand the underlying behavior of systems. But despite its utility, there remains challenges associated with system dynamics modeling that the current research addresses by expanding the system dynamics modeling toolbox. The first challenge relates to imprecision or vagueness, for example, with respect to human perception and linguistic variables. The most common approach is to use table or graph functions to capture the inherent vagueness in these linguistic (qualitative) variables. Yet, combining two or more table functions may lead to further complexity and, moreover, increased difficulty when analyzing the resulting behavior. As part of this research, we extend the system dynamics toolbox by applying fuzzy logic. Then, we select a problem of congestion pricing in mitigating traffic congestion to verify the effectiveness of our integration of fuzzy logic into system dynamics modeling. Another challenge, in system dynamics modeling, is defining proper equations to predict variables based on numerous studies. In particular, we focus on published equations in models for energy balance and weight change of individuals. For these models there is a need to define a single robust prediction equation for Basal Metabolic Rate (BMR), which is an element of the energy expenditure of the body. In our approach, we perform an extensive literature review to explore the relationship between BMR and different factors including age, body composition, gender, and ethnicity. We find that there are many equations used to estimate BMR, especially for different demographic groups. Further, we find that these equations use different independent variables and, in a few cases, generate inconsistent conclusions. It follows then that selecting a single equation for BMI can be quite difficult for purposes of modeling in a systems dynamics context. Our approach involves conducting a meta-regression to summarize the available prediction equations and identifying the most appropriate model for predicting BMR for different sub-populations. The results of this research potentially could lead to more precise predictions of body weight and enhanced policy interventions to help mitigate serious health issues such as obesity.<br>Ph. D.
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Aboreshaid, Saleh Abdulrahman Saleh. "Composite power system well-being analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24064.pdf.

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Zhang, Zhonghua. "Algorithms for power system security analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0025/MQ51827.pdf.

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Estes, Steven Douglas. "Power system analysis suite for Windows." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02132009-170931/.

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Lv, Chen. "Damping torque analysis of power system stabiliser in power systems." Thesis, Queen's University Belfast, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707821.

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Nowadays the small-signal angular stability problem caused by insufficient damping of low- frequency oscillations threatens the security and integrity of power grids when the power system is developing towards large or even super large interconnected grids. The low-frequency oscillation often persists for a long period of time, and in some cases it may interrupt stable operation of the power system. One effective way of suppressing the oscillations is that the auxiliary controllers called power system stabilisers (PSS) are installed in the excitation system of generators, to provide additional damping to the low-frequency power oscillations. The work presented in this thesis focuses on applying the damping torque analysis to power systems. The main contributions of the work are the following two aspects. Firstly, by using the damping torque analysis, an in-depth study on the damping contribution and distribution in modern power system is carried out. This study provides valuable detailed information about how and why the damping is distributed in the system as well as identifying the most responsible components to the damping. The results of extended analysis can be used to guide planning, operation and control of power systems, and have great value in practice. Secondly, the work has demonstrated that damping torque analysis is not only useful in studying global model of power systems as it was before, but can also be applied in local model of power systems and the new energy power generation systems (such as the wind power generation system). Hence the work significantly enhances the potential of the damping torque analysis technique in practical applications thereby making it comparable to the conventional method of modal analysis.
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Palethorpe, Ben. "A novel system impedance measurement for power system analysis and improvement in power quality." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/13199/.

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This thesis presents an investigation of on-line supply impedance measurement. Network impedance values are invaluable for power system modelling and simulation. Without knowledge of a network structure and the impedances that make up that structure it is impossible to simulate or predict harmonic propagation within a plant. If the impedance structure for a plant is known then it may be possible to alleviate voltage distortion problems by simply redistributing sensitive loads to points of low harmonic distortion. Alternatively distorting loads may be repositioned thus removing the need for additional filters or compensation equipment. The supply impedance, in particular, is of interest. At a simple level it is important for wiring, fuse and circuit breaker calculations. It is also important when designing filters for power factor correction or harmonic attenuation. Two novel on-line impedance measurement techniques are presented. Both techniques apply a small disturbance to a power network, using measurements of the subsequent transients it is possible to identify the system impedance at the point of measurement. These techniques are implemented both in simulation and experimentally. Excellent identification was possible for linear impedance networks. The performance of the techniques was also investigated in the presence of various non-linear loads. Limitations to both approaches are identified. An active shunt filter was designed and constructed for this work. Experimental impedance measurement was undertaken using this hardware. It was therefore possible to demonstrate the possibility of impedance measurement using an existing active shunt filter and during its normal operation. Finally experimental measurement data was used to demonstrate the operation of the active shunt filter using reference currents determined from supply voltage and supply impedance.
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Books on the topic "Power system analysis toolbox"

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Das, J. C. Power System Analysis. Marcel Dekker, Inc., 2003.

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Murthy, P. S. R. Power system analysis. BS Publications, 2007.

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Rahmani-Andebili, Mehdi. Power System Analysis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84767-8.

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author, Sukhija M. S., ed. Power system analysis. Oxford University Press, 2014.

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Saadat, Hadi. Power system analysis. WCB/McGraw-Hill, 1999.

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Gross, Charles A. Power system analysis. 2nd ed. Wiley, 1986.

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Murty, P. S. R. Power System Analysis. BS Publications, 2007.

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Nagsarkar, T. K. Power system analysis. Oxford University Press, 2007.

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D, Stevenson William, and Stevenson William D, eds. Power system analysis. McGraw-Hill, 1994.

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Rahmani-Andebili, Mehdi. Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1.

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Book chapters on the topic "Power system analysis toolbox"

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Whiteley, David. "System Analysis and Design Toolbox." In An Introduction to Information Systems. Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-08467-5_11.

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Idema, Reijer, and Domenico J. P. Lahaye. "Power System Analysis." In Atlantis Studies in Scientific Computing in Electromagnetics. Atlantis Press, 2014. http://dx.doi.org/10.2991/978-94-6239-064-5_6.

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Rahmani-Andebili, Mehdi. "Power Flow Analysis." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_8.

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Rahmani-Andebili, Mehdi. "Per-Unit System." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_2.

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Gönen, Turan, Chee-Wooi Ten, and Yunhe Hou. "Power System Restoration." In Modern Power System Analysis, 3rd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003129769-8.

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Gönen, Turan, Chee-Wooi Ten, and Yunhe Hou. "Power Flow Analysis." In Modern Power System Analysis, 3rd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003129769-7.

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Rahmani-Andebili, Mehdi. "Fundamental Concepts in Power System Analysis." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_1.

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Rahmani-Andebili, Mehdi. "Single-Phase and Three-Phase Transformers." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_3.

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Rahmani-Andebili, Mehdi. "Synchronous Generators." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_4.

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Rahmani-Andebili, Mehdi. "Transmission Line Model and Performance." In Power System Analysis. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64691-1_6.

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Conference papers on the topic "Power system analysis toolbox"

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Lin, Xiqiao, and Zidong Xu. "Green Premium Cost Analysis of Electric Vehicles Using Sparse Principal Component Analysis." In 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF). IEEE, 2024. https://doi.org/10.1109/npsif64134.2024.10883439.

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Milano, F. "An open source power system analysis toolbox." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1708946.

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Rabbani, M. G., A. B. M. Nasiruzzaman, R. I. Sheikh, and Md Shamim Anower. "MATLAB Based Fault Analysis Toolbox for Electrical Power System." In 2006 International Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icece.2006.355304.

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Wilson, Robert, Rakibuzzaman Shah, and N. Mithulananthan. "Expanding power system analysis toolbox (PSAT) functionalities for better result interpretation." In 2014 Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2014. http://dx.doi.org/10.1109/aupec.2014.6966513.

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Phongtrakul, Tipthacha, Yuttana Kongjeen, and Krischonme Bhumkittipich. "Analysis of Power Load Flow for Power Distribution System based on PyPSA Toolbox." In 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2018. http://dx.doi.org/10.1109/ecticon.2018.8619954.

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Wei, YanFang, ZhiNong Wei, and GuoQiang Sun. "Matlab-based voltage stability analysis toolbox and its validity check." In 2011 IEEE International Conference on Advanced Power System Automation and Protection (APAP). IEEE, 2011. http://dx.doi.org/10.1109/apap.2011.6180600.

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Wu, Hao, Yiwei Qiu, Zhenan He, Shufeng Dong, and Yonghua Song. "A Free and Open Source Toolbox based on Mathematica for Power System Analysis." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973907.

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Blouin, Dominique, and Eric Senn. "CAT: An extensible system-level power Consumption Analysis Toolbox for Model-Driven design." In 2010 8th IEEE International NEWCAS Conference (NEWCAS). IEEE, 2010. http://dx.doi.org/10.1109/newcas.2010.5603737.

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Waitschat, Arne, Lennard Nordmann, Frank Thielecke, and Valérie Pommier-Budinger. "Enhanced Toolbox for the Combined Analysis of Fluid- and Structure-Borne Noise of Hydraulic Systems." In BATH/ASME 2016 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpmc2016-1701.

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Today’s available software packages that feature dedicated hydraulic system noise analysis capabilities focus on the Fluid-Borne Noise (FBN) prediction in frequency or time domain. However, some noise sensitive hydraulic installation areas, like light weight structures in aviation, drive the development of an extended toolbox that also covers the prediction of Structure-Borne Noise (SBN) and Fluid-Structure-Interaction (FSI) in hydraulic systems. This conference contribution presents the concept and design of such a toolbox. It is implemented in a Matlab Simulink/ Simscape environment by FBN-, SBN- and FSI- model libraries. For a given study case a simulation model is generated using elements from these libraries. The simulation results are experimentally validated using a dedicated hydraulic system noise test rig. It features a rotary valve as FBN source and a pipe system equipped with dynamic pressure transducers for FBN detection and acceleration sensors for SBN detection. The analysis capabilities of such a toolbox are considered beneficial in particular for future (pre-/re-) design projects in the aviation environment, which hold challenging application constraints for efficient hydraulic system noise reduction devices: Besides obligatory strong limits on component weight and size, the high safety and reliability standards demand simple and maintenance-free onboard devices. Hence solutions with minimum hardware efforts are preferred. In this context, the proposed toolbox can be used for a combined tuning of type and location of standard/simple FBN silencers together with type and location of SBN effecting pipe clamps in order to optimize the overall system noise pattern towards an increased equipment durability and passenger comfort.
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Zhang, Jiangmeng, and Alejandro D. Dominguez-Garcia. "Augmenting the power system toolbox: Enabling automatic generation control and providing a platform for cyber security analysis." In 2016 North American Power Symposium (NAPS). IEEE, 2016. http://dx.doi.org/10.1109/naps.2016.7747923.

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Reports on the topic "Power system analysis toolbox"

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Trudnowski, D. J. Power system identification toolbox: Phase two progress. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10184602.

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Posthumus, Helena, Jonne Bosselaar, Herman Brouwer, et al. The food systems decision-support toolbox : a toolbox for food system analysis. Wageningen Centre for Development Innovation, 2021. http://dx.doi.org/10.18174/541410.

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McGill, Sean, Eve Eisemann, and Rose Dopsovic. Sediment Budget Analysis System (SBAS) 2020 user's guide : Version 1.0. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44140.

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This special report acts as a user’s guide for the Sediment Budget Analysis System (SBAS) toolbox within ArcGIS Pro. The SBAS toolbox is a free toolset that allows the user to create and visualize a sediment budget using ArcGIS Pro. Included in this report are instructions on how to download the toolbox and create a sediment budget.
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Longhurst, Glen Reed, Edwin Allan Harvego, Bruce Gordon Schnitzler, et al. Multi Megawatt Power System Analysis Report. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/910682.

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Schneider, Larry X. Building 865 Hypersonic Wind Tunnel Power System Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1259561.

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Author, Not Given. System Definition and Analysis: Power Plant Design and Layout. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/16110.

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Nguyen, Du Van. An ASIC Power Analysis System for Digital CMOS Design. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7249.

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Webb, Darren. Design and Analysis of a Small Unmanned Aerial System (UAS) Power Distribution System. DEVCOM Army Research Laboratory, 2022. http://dx.doi.org/10.21236/ad1183624.

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Wenting, Li, Wang Ren, and Ignacio Cominges. A Comprehensive Analysis of PINNs for Power System Transient Stability. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2375841.

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N. Ramirez. RELIABILITY ANALYSIS OF THE ELECTRICAL POWER DISTRIBUTION SYSTEM TO SELECTED PORTIONS OF THE NUCLEAR HVAC SYSTEM. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/841283.

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