491 research outputs found

    DandeBot - An Autonomous Weeding Solution for Residential Lawns

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    DandeBot – An Autonomous Weeding Solution for Residential Lawns Author: Nishanth Rajkumar This thesis presents the development and validation of DandeBot, an autonomous robotic system designed for comprehensive residential lawn maintenance. The robot addresses the need for efficient, eco-conscious, and low maintenance lawn care through a fully electric platform powered by an AI-driven software stack. Emphasizing safety, adaptability, and ease of use, the hardware was developed using CAD and Design for Manufacturing (DFM) principles, resulting in a modular and robust design. The integrated software stack combines localization, mapping, and path planning using odometry, visual odometry, and IMU data fusion to navigate dynamic outdoor environments. Task-specific algorithms were developed and validated for autonomous navigation, weed detection, and obstacle avoidance. Key hardware innovations include a modular gripper system for weed removal and adaptable attachments for multiple lawn care tasks. Field trials confirmed the robot’s capability to perform with high precision and reliability in varied lawn conditions, significantly reducing the need for human intervention. This work contributes to the growing field of service robotics by demonstrating how intelligent systems can automate routine household maintenance. The thesis concludes by outlining future research directions, including system scalability, enhanced multi-tasking capabilities, and integration with smart home networks

    Exploring Stability and Accuracy Limits of Distributed Real-Time Power System Simulations via System-of-Systems Cosimulation

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    Electro-Magnetic Transients (EMT) is the most accurate, but computationally expensive method of analyzing power system phenomena. Thereby, interconnecting several real-time simulators can unlock scalability and system coverage, but leads to a number of new challenges, mainly in time synchronization, numerical stability, and accuracy quantification. This study presents such a co-simulation, based on Digital Real-Time Simulator (DRTS), connected via Aurora 8B/10B protocol. Such a setup allows to analyze complex and hybrid System-of-Systems (SoS) whose resulting numerical phenomena and artifacts have been poorly investigated and understood so far. We experimentally investigate the impact of IEEE 1588 Precision Time Protocol (PTP) synchronization assessing both time and frequency domains. The analysis of the experimental results is encouraging and show that numerical stability can be maintained even with complex system setups. Growing shares of inverter-based renewable power generation require larger and interconnected EMT system studies. This work helps to understand the phenomena connected to such DRTS advanced co-simulation setups

    Semantic Question Classification Datasets

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    This is the datasets used in the following paper:Can Taxonomy Help? Improving Semantic Question Matching using Question TaxonomyPaper: http://aclweb.org/anthology/C18-1042If you use the dataset please cite the following paper:@InProceedings{C18-1042, author = "Gupta, Deepak and Pujari, Rajkumar and Ekbal, Asif and Bhattacharyya, Pushpak and Maitra, Anutosh and Jain, Tom and Sengupta, Shubhashis", title = "Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy", booktitle = "Proceedings of the 27th International Conference on Computational Linguistics", year = "2018", publisher = "Association for Computational Linguistics", pages = "499--513", location = "Santa Fe, New Mexico, USA", url = "http://aclweb.org/anthology/C18-1042" } </div

    Stability and Accuracy Analysis of a Real-time Co-simulation Infrastructure

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    Co-simulation techniques are gaining popularity amongst the power system research community to analyse future scalable Smart Grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding-up the widespread usage of these techniques for power system analysis. These issues are even further exacerbated when applied to Digital Real-Time Simulations (DRTS) with strict real-time constraints for Power Hardware-In-the-Loop (PHIL) tests. In this paper, we thoroughly test and demonstrate an innovative co-simulation infrastructure that allows to interconnect different DRTS through the Aurora 8B/10B protocol to reduce the effects of communication latency and respect real-time constraints. The Ideal Transformer Method Interface Algorithm (ITM IA), commonly used in PHIL applications, is used to interface the DRTS. Finally, we present time-domain and frequency-domain accuracy analyses on the obtained experimental results to demonstrate the potential of the proposed infrastructure.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Intelligent Electrical Power Grid

    The effect of a smoking ban on exposure and cardio-respiratory health of non-smoking hospitality workers in Switzerland

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    Summary: Background The first scientific studies on negative health effects of passive smoking published in the 1980s instigated an intense battle between the tobacco industry, who fear the loss of social acceptance of smoking and resultant financial damages, and diverse interest groups defending the health of the non-smoking population. In 2003 the World Health Organisation issued a Framework Convention for Tobacco Control, which was signed by 168 member states and has been ratified by 176. Since then, several countries have implemented smoking bans in public indoor spaces and workplaces. At the same time studies on second hand smoke (SHS) exposure and related health effects in hospitality workers have been conducted using various, albeit unreliable, methods. For example, exposure is typically assessed by means of a questionnaire or by measuring a proxy such as PM2.5. Likewise, measuring nicotine in biological samples such as urine, blood or saliva may be influenced by personal metabolism. Most health-related studies focus on respiratory examinations and have completely neglected long-term effects of SHS exposure on cardiovascular health. This study aims to address some of these knowledge gaps. In May 2010 Switzerland implemented the first national smoking ban to protect the population from passive smoking. Loose regulation left room for exceptions; there remained a possibility to establish small smoking venues or separate smoking rooms of limited size. The COSIBAR study utilized the transition as a natural intervention to examine exposure and the cardio-respiratory health of non-smoking hospitality workers. Methods An intervention group that experienced a change in smoking regulation was to be compared with a control group that continued to work in a smoke-exposed environment. To this end, the air was measured in 193 hospitality venues before the ban in the cantons of Basel City, Basel County and Zurich. 92 workers were recruited and invited to three medical examinations, once before implementation of the ban and twice afterwards. Exposure was also measured each time, and at the first and second time points a questionnaire on behaviour and acceptance was mailed to participants. In this non-medical target group also smokers were included. Exposure was measured by means of a passive nicotine-specific sampler. One was placed at the workplace for a week and a second one was worn by the participants for a personal 24-hour measurement. In addition, we took a salivary sample during the medical examination to determine nicotine and cotinine content. A questionnaire contained further questions on personal exposure. Height, weight and blood pressure were measured in the medical component. We did an ECG to assess heart rate variability (HRV)- a quantitative marker of autonomic activity of the nervous system. We also measured pulse wave velocity (PWV) to determine arterial stiffness which is an indicator of cardiovascular risk factors and atherosclerosis. Respiratory health was examined by measuring lung function and fractional exhaled nitric oxide (FeNO), an inflammatory marker in the lungs. Furthermore we did an allergy test at baseline and performed an extensive interview at each appointment. To analyse the health data we developed several models; exposure was compared to all health parameters in a cross-sectional baseline analysis. A longitudinal model correlated exposure at every time point with corresponding health data taking into account within-subject correlation. Finally, a pre/post comparison of health parameters was done without taking exact exposure into account. All models were adjusted for appropriate covariates. The behaviour and acceptance questionnaire contained questions on personal knowledge and attitude towards the smoking ban and factors influencing these as well as on smoking status and behaviour. Responses were analysed with suitable statistical tests. Results Average SHS exposure in the intervention group decreased by 2.4 cigarette equivalents/day (CE/d) after the smoking ban while the change in the exposed control group was significantly smaller. In the cross-sectional analysis of the baseline data we found that mean lung function of all exposed hospitality workers was below the recorded average for the Swiss population. FeNO values were directly associated with exposure, meaning we observed decreased inflammation with increased exposure. In the longitudinal model that compared exposure to health measures, several HRV parameters significantly correlated with exposure. A decrease by one unit CE/d was linked to an increase in the root mean square of successive differences (RMSSD), the standard deviation of N-N intervals (SDNN), high frequency (HF) and Total Power (TP) as well as a decrease in PWV. These associations were consistent with the original hypothesis that predicted better health with lower exposure. In the pre/post model not taking exact exposure into account, there was a significantly different development of several parameters in the intervention group compared to the control group. SDNN, RMSSD, HF and TP increased in the intervention group while decreasing in the control group. The inverse was true for the low frequency/HF ratio (LF/HF), an effect that also corresponded to our expectations. FeNO decreased in the intervention group, while the control group showed a significantly different slight increase. No changes could be observed in lung function. Acceptance of the smoking ban was higher in non-smokers than in smokers throughout the study. It rose from baseline to follow-up in both groups in the canton of Basel Land which had a comprehensive smoking ban in place but not in the two other cantons that had a regulation allowing exceptions. Discussion In this study there were clear indications for an improvement of cardiovascular health in non-smoking hospitality workers after implementation of a smoking ban. Summary xiv Risk factors for myocardial infarction or arteriosclerosis had significantly decreased in the intervention group. No change in lung function was observed while FeNO showed a decrease that cannot be considered clinically relevant. Hence, heart rate variability and pulse wave velocity seem to be the most sensitive markers, while lung function may take longer to recover or may remain irreversibly damaged. FeNO is influenced by many factors and is in need of further research. All these results speak for a comprehensive smoking ban without exceptions. The higher acceptance that we observed with this type of regulation further supports this recommendation. Nevertheless an initiative by the lung association demanding exactly this consolidation of the law was rejected in September 2012. During the animated voting campaign, first study results were published. The failure of the campaign raises the question if health is an attractive political argument when personal freedom of decision is threatened. What more, the tobacco industry holds a powerful position as an important employer and tax payer in Switzerland and its role must be considered and moved into the people’s conscience. The alleged personal freedom of Swiss citizens to decide on their smoking behaviour seems to be an illusion, caused by concealed brainwashing by the world’s most manipulative industry. ---------- Zusammenfassung: Hintergrund Seit in den 1980er Jahren erste wissenschaftliche Studien die negativen gesundheitlichen Folgen von Passivrauchen nachgewiesen haben, herrscht ein unerbittlicher Kampf zwischen der Tabaklobby, die den Verlust der sozialen Akzeptanz des Rauchens und damit verbundene finanzielle Einbussen fürchtet, und verschiedenen Interessengruppen, die sich für die Gesundheit der nichtrauchenden Bevölkerung einsetzen. Die Weltgesundheitsorganisation erliess 2003 ein Rahmenübereinkommen zur Eindämmung des Tabakkonsums, das von 168 Staaten unterschrieben und inzwischen von 176 ratifiziert wurde. Seither wurden in mehreren Ländern Rauchverbote in öffentlichen Räumen und an Arbeitsplätzen eingeführt. Dabei wurden oft Studien zu Rauchexposition und Gesundheitsfaktoren von Gastgewerbemitarbeitern durchgeführt, mit unterschiedlichen Methoden. Die Exposition wurde meistens anhand von Fragebogen oder unter Anwendung eines Proxys wie PM2.5 eingeschätzt, was jedoch ungenau sein kann. Die Nikotinmessung von biologischen Proben wie Urin, Blut oder Speichel kann ausserdem vom persönlichen Metabolismus beeinflusst werden. Bezüglich der Gesundheit konzentrierten sich die meisten Studien auf respiratorische Untersuchungen und vernachlässigten kardiovaskuläre Langzeitauswirkungen der Passivrauchexposition völlig. Mit dieser Studie sollten einige dieser Lücken gefüllt werden. Im Mai 2010 wurde in der Schweiz das erste Bundesgesetz zum Schutz der Bevölkerung vor Passivrauchen eingeführt. Da die lose Regelung Raum für Ausnahmen liess, war es weiterhin möglich, kleine Raucherlokale oder abgetrennte Rauchräume von begrenzter Grösse, zu führen. Die COSIBAR Studie nutzte die Umsetzung als natürliche Intervention für eine Untersuchung der Exposition und kardio?respiratorischen Gesundheit bei nichtrauchenden Gastgewerbemitarbeitern. Methoden Eine Interventionsgruppe, die eine Änderung der Rauchregel erfuhr, sollte mit einer Kontrollgruppe verglichen werden, die weiterhin im Rauch arbeiten musste. Dazu wurde vor dem Rauchverbot die Luft in 193 Betrieben in den Kantonen Basel Stadt, Basel Land und Zürich gemessen. 92 Mitarbeiter konnten rekrutiert werden und wurden zu drei medizinischen Untersuchungen eingeladen, einmal vor Einführung des Rauchgesetzes und zweimal danach. Parallel wurde jeweils die Exposition gemessen, sowie beim ersten und zweiten Erhebungszeitpunkt ein Verhaltens?und Akzeptanzfragebogen verschickt, in dessen Zielgruppe auch Raucher eingeschlossen wurden. Die Exposition wurde mit Hilfe eines passiven Nikotinbadges gemessen, einerseits während einer Woche am Arbeitsplatz und andererseits mit einer persönlichen Messung, bei der der Proband den Badge 24 Stunden auf sich trug. Darüber hinaus wurde während der medizinischen Untersuchung eine Speichelprobe genommen, um den Nikotin? und Kotiningehalt festzustellen. Ein Fragebogen enthielt zusätzliche Fragen zur Exposition. Im medizinischen Teil wurde neben Grösse, Gewicht und Blutdruck ein EKG zur Untersuchung der Herzrhythmusvariabilität (HRV), einem quantitativen Marker des autonomen Nervensystems, durchgeführt. Anhand der Pulswellengeschwindigkeit (PWV) wurde die arterielle Steifheit gemessen, die ein Indikator für kardiovaskuläre Risikofaktoren und Arteriosklerose ist. Die respiratorische Gesundheit wurde mit einer Messung des ausgeatmeten Stickstoffoxids (FeNO), einem Entzündungsmarker in der Atemluft, und einem Lungenfunktionstest untersucht. Darüber hinaus wurden beim ersten Termin ein Allergietest und jedes Mal ein ausführliches Interview durchgeführt. Für die Analyse der Gesundheitsdaten wurden mehrere Modelle entwickelt: Einerseits wurde die Korrelation der Exposition mit den verschiedenen Parametern vor Einführung des Rauchverbots in einer Querschnittsuntersuchung angeschaut. Darüber hinaus wurde die Exposition in einem longitudinalen Modell zu jedem Zeitpunkt mit den jeweiligen Gesundheitsdaten verglichen unter Berücksichtigung der Tatsache, dass mehrere Untersuchungen von einer Person stammen konnten. Als letztes wurde in einem Prä/Post?Modell ein Vergleich der Gesundheitsparameter vor und nach dem Rauchgesetz gemacht ohne Berücksichtigung der genauen Exposition. Die Modelle wurden jeweils für geeignete Kovariablen adjustiert. Der Verhaltens? und Akzeptanzfragebogen enthielt Fragen zum persönlichen Wissenstand und zur Einstellung zum Rauchverbot, zu Faktoren, die diese beeinflussen sowie zum Rauchstatus und –verhalten. Antworten wurden anhand von angemessenen statistischen Tests verglichen. Ergebnisse Die durchschnittliche Rauchexposition in der Interventionsgruppe sank um 2.4 Zigarettenäquivalente/Tag nach dem Rauchverbot während die Veränderung in der exponierten Kontrollgruppe signifikant kleiner war. In einer Querschnittsuntersuchung der Baseline Daten wurde festgestellt, dass die mittleren Lungenfunktionswerte der exponierten Gastgewerbemitarbeiter unter der schweizerischen Durchschnittsbevölkerung lag. Die FeNO Werte waren direkt mit der Exposition assoziiert, wobei eine Erhöhung der Exposition eine Verminderung des Entzündungsmarkers bedeutete. Im longitudinalen Modell, das die Exposition mit den Gesundheitsmassen verglich, korrelierten mehrere HRV Parameter signifikant mit der Exposition. Die Abnahme um ein Zigarettenäquivalent/Tag war mit einer Erhöhung der RMSSD (Quadratwurzel der Summe der quadrierten Differenzen zwischen benachbarten RR?Intervallen), der SDNN (Standardabweichung der RR?Intervalle), der HF? (High Frequency) und der TP? (Total Power) Komponente verbunden, sowie mit einer Abnahme der Pulswellengeschwindigkeit. Diese Assoziationen entsprachen der ursprünglichen Hypothese, die eine bessere Gesundheit mit niedrigerer Exposition voraussagte. Im Prä/Post?Modell ohne Berücksichtigung der genauen Exposition wurde bei mehreren Parametern eine signifikant unterschiedliche Entwicklung in der Interventionsgruppe im Vergleich zur Kontrollgruppe gestellt. So stiegen SDNN, RMSSD, HF, und TP in der Interventionsgruppe alle an, während sie in der Kontrollgruppe absanken. Der HF/LF (High Frequency/Low Frequency) Quotient verhielt sich umgekehrt, ein Effekt, der auch den Erwartungen entsprach. FeNO sank in der Interventionsgruppe ab, während sich die Kontrollgruppe mit einem kleinen Anstieg signifikant anders verhielt. Bei den Lungenfunktionsparametern konnte keine Veränderung beobachtet werden. Die Akzeptanz des Rauchverbots war von Anfang an höher bei den Nichtrauchern als bei den Rauchern. Sie erhöhte sich jedoch in beiden Gruppen im Kanton Basel Land, in dem ein umfassendes Rauchverbot eingeführt wurde, während das in den andern beiden Kantonen, die Ausnahmen zuliessen, nicht der Fall war. Diskussion In dieser Studie wurden klare Anzeichen einer verbesserten kardiovaskulären Gesundheit der nichtrauchenden Gastronomiemitarbeiter nach Einführung des Rauchverbots gefunden. Die Risikofaktoren für einen Herzinfarkt oder eine Arteriosklerose hatten sich in der Interventionsgruppe signifikant vermindert. Bei der Lungenfunktion konnte keine Veränderung festgestellt werden während beim FeNO zwar eine Abnahme beobachtet wurde, die jedoch nicht als klinisch relevant betrachtet werden kann. Somit scheinen die Herzrhythmusvariabilität und die Pulswellengeschwindigkeit die sensitivsten Marker zu sein, während die Lungenfunktion womöglich entweder länger braucht, um sich zu erholen oder dauerhaft geschädigt bleibt. FeNO wird von sehr vielen Faktoren beeinflusst und sollte daher noch weiter erforscht werden. All diese Resultate sprechen für ein umfassendes Rauchverbot ohne Ausnahmen. Die erhöhte Akzeptanz dieser Form der Regelung, die wir fanden, unterstützt diese Empfehlung weiter. Trotzdem wurde eine Initiative der Lungenliga, die genau diese Vereinheitlichung des Gesetzes verlangte, im September 2012 abgelehnt. Während des lebhaften Abstimmungskampfes wurden auch erste Studienresultate publiziert. Der Misserfolg der Kampagne wirft die Frage auf, ob Gesundheit als politisches Argument attraktiv ist, wenn dabei eine Einschränkung der persönlichen Entscheidungsfreiheit droht. Ausserdem muss die Rolle der Tabakindustrie, die in der Schweiz als wichtiger Arbeitgeber und Steuerzahler eine übermächtige Stellung hat, näher betrachtet und ins Bewusstsein der Bürger gerückt werden. Die vermeintliche persönliche Freiheit der Schweizer über ihr Rauchverhalten zu entscheiden scheint doch eher eine Selbsttäuschung zu sein, herbeigeführt mittels einer verdeckten Gehirnwäsche durch die wohl manipulativste Industrie der Welt

    Improvement of cost estimating internal practice.

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    This thesis is concerned with understanding the internal costing practices employed by commercial and engineering disciplines of cost estimating for generating estimates at the conceptual design stage of complex hardware products. It examines whether there is a formal structure in the interaction between the two groups that can be represented within a model. The aim is to develop a framework that will formalise and improve the communication of commercial and engineering disciplines in cost estimating. A literature review examines the role of different costing techniques and the information requirements for generating cost estimates. The review identifies that there is a lack of research in the information requirements for cost estimating of specific manufacturing industries, and that the interaction of commercial and engineering disciplines of cost estimating at conceptual design stage is hindered by the different focuses of these groups. By conducting a survey study the author identifies the internal practice in cost estimating for the automotive industry. The survey establishesth at in order to improve the internal practice it is essential to establish a data infrastructure that fortnalises and enables the reuse of the cost estimates and improves the interaction between the two groups. The author identifies a common cost estimating process for the automotive industry. This study establishes the required data and information elements and information sources that need to be collected in order to have reliable data infrastructure. Using a case study approach, the author also establishes that it is essential to analyse the product functions in such a way that will enable the development of a detailed cost estimating model at the conceptual design stage, which will improve interaction between the commercial and engineering groups. The function-based cost estimating process becomes the focus of detailed studies using experts from the automotive industry. This results in a generic framework that provides a formalised structure to represent functional requirements in the form of a detailed cost estimating model. The thesis concludes that product functions need to be captured and analysedd uring the conceptuald evelopmento f a product and be associatedto cost estimates. The developed results provide both groups of cost estimating a structured, consistent approach to developing cost estimates at the conceptual design stage. The data infrastructure and the function-based cost estimating framework is validated through case studies and expert evaluation. The approach contributes towards improvement of the internal cost estimating practice with the automotive industry

    Development of an impact assessment framework for lean manufacturing within SMEs

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    The main aim of the research work presented in this thesis, is the development of a novel framework with the capability of assessing the impact of implementing lean manufacturing within small-to-medium sized manufacturing firms (SMEs). By assessing the impact of lean implementation, SMEs can make informed decisions on the viability of lean adoption at the conceptual implementation stage. Companies are also able determine their status in terms of lean manufacturing affordability. Thus, in order to achieve the above-stated aim, the following were the main set research objectives; (1) identifying the key drivers for implementing lean manufacturing within SMEs, (2) investigating the operational activities of SMEs in order to understand their manufacturing issues, (3) exploring the current level of lean manufacturing usage within SMEs so as to categorise users based on their levels of involvement, (4) identifying factors that determine the assessment of lean manufacturing, (5) developing an impact assessment framework for justifying lean manufacturing within SMEs, (6) developing a knowledge based advisory system and (7) validating the impact assessment framework and the developed knowledge based advisory system through real-life case studies, workshops, and expert opinions. A combination of research methodology approaches have been employed in this research study. This comprises literature review, observation of companies' practices and personal interview. The data collection process involved ten SMEs that provided consistent information throughout the research project life. Additionally, visitations to three large size manufacturing firms were also conducted. Hence, the framework and system development process passed through several stages. Firstly, the data were collected from companies who had successfully implemented lean manufacturing within their premise. The second development stage included the analysis and validation of the dataset through company practitioners. An impact assessment framework was thus developed with the aid of regression analysis as a predictive model. However, it was realised that there were few correlations between the dataset generated and analysis. The reasons for this were unclear. ,a knowledge based advisory system was adopted to conceptualise, enhance the robustness of the impact assessment framework and address the problem of the imprecise data in the impact assessment process. Three major factors of impact assessment were considered in the framework and the system development process, namely relative cost of lean implementation, a company lean readiness status and the level of value-added to be achieved (impact/benefits). Three knowledge based advisory sub-systems that consisted of the abovementioned factors were built. Results obtained from them were then fed into the final system. The three sub-systems were validated with the original set of data from companies. This enabled the assignment of a number of input variables whose membership functions aided the definition of the fuzzy expert system language (linguistic variables) used. The final system yielded heuristic rules that enable the postulation of scenarios of lean implementation. Results were sought and tested on a number of firms based within the UK, for the purposes validation. These also included expert opinions both in academic and industrial settings. A major contribution of the developed system is its ability to aid decision-making processes for lean implementation at the early implementation stage. The visualisation facility of the developed system is also useful in enabling potential lean users to make forecasts on the relative cost of lean projects upfront, anticipate lean benefits, and realise one' degree of lean readiness

    The implications of foreign aid fungibility for development assistance

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    A foreign aid or foreign lending policy that focuses exclusively on project financing may have unintended consequences, report the authors. New research shows that aid intended for crucial social and economic sectors often merely substitutes for spending that recipient governments would have undertaken anyway and the funds that are thereby freed up are spent for other purposes. If the aid funds something that would have been done anyway, traditional ways of evaluating the aid's effectiveness are not really accurate. Ifaid funds are fungible and the recipient's public spending program is unsatisfactory, project lending may not be cost-effective. If the recipient's public spending program is satisfactory, perhaps the donor should finance a portion of it instead of financing individual projects. One solution to the problem of fungibility, then, is that donors could tie assistance to an overall public spending program (in the recipient country) that provides adequate resources to crucial sectors. To make this kind of reform operational, the authors propose a new lending instrument: a public expenditure reform loan (PERL). A PERL would tie an institution's lending strategy to the recipient country's achievement of mutually agreed-upon development goals. Everyone agrees that better donor coordination is needed, but it has been difficult to achieve because some donors tend to prefer projects (usually with the national flag flying over them). By agreeing on a public expenditure program and financing a portion of it, the World Bank credibly ask other donors to do the same.Payment Systems&Infrastructure,Development Economics&Aid Effectiveness,Gender and Development,Decentralization,Economic Adjustment and Lending,Development Economics&Aid Effectiveness,Poverty Assessment,National Governance,Economic Adjustment and Lending,Public Sector Economics&Finance

    Stability and Accuracy Analysis of a Distributed Digital Real-Time Co-simulation Infrastructure

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    Co-simulation techniques are gaining popularity amongst the power system research community to analyse future scalable Smart Grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding up the widespread usage of these techniques for power system analysis. These issues are even further exacerbated when applied to Digital Real-Time Simulators (DRTS) with strict real-time constraints for Power Hardware-In-the-Loop (PHIL) tests.In this paper, we present an innovative Digital Real-Time Co-simulation Infrastructure that allows interconnecting differentDRTS through the Aurora 8B/10B protocol to reduce the effects of communication latency and respect real-time constraints. The proposed solution synchronizes the DRTS interconnection by means of the IEEE 1588 Precision Time Protocol (PTP) standard to align executions and results obtained by the co-simulated scenario. The Ideal Transformer Method (ITM) Interface Algorithm(IA), commonly used in PHIL applications, is used to interface theDRTS. Finally, we present time-domain and frequency-domain accuracy analyses on the obtained experimental results to demonstrate the potential of the proposed infrastructure. With the presented setup, a time step duration down to50μsis shown to be stable and accurate in running an Electro-Magnetic Transients(EMT) co-simulated power grid scenario by interconnecting two commercial DRTS (i.e. RTDS NovaCor), extending the scalability of future Smart Grid real-time simulations
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