The Swedish electricity market was de-regulated in 1996, followed by new laws and a new regulation applied to the natural monopolies of electrical distribution systems (EDS). These circumstances have motivated distribution systems operators (DSOs) to introduce more comprehensive analysis methods. The laws, the regulation and additional incentives have been investigated within this work and results from this study can be valuable when developing risk methods or other quantitative methods applied to EDS. This tendency is not unique for Sweden, the results from a comparative study of customer outage compensation laws between Sweden and UK is for example included. As a part of investigating these incentives, studies of the Swedish regulation of customer network tariffs have been performed which provide valuable learning when developing regulation models in different countries. The Swedish regulatory model, referred to as the Network Performance Assessment Model (NPAM), was created for one of the first de-regulated electricity markets in the world and has a unique and novel approach. For the first time, an overall presentation of the NPAM has been performed including description of the underlying theory as a part of this work. However, the model has been met by difficulties and the future usage of the model is uncertain. Furthermore, the robustness of the NPAM has been evaluated in two studies with the main conclusion that the NPAM is sensitive toward small variations in input data. Results from these studies are explained theoretically investigating algorithms of the NPAM. A pre-study of a project on developing international test systems is presented and this ongoing project aims to be a useful input when developing risk methods. An application study is included with the approach to systematically describe the overall risk management process at a DSO including an evaluation and ideas of future developments. The main objective is to support DSOs in the development of risk management, and to give academic reference material to utilize industry experience. An idea of a risk management classification has been concluded from this application study. The study provides an input to the final objective of a quantitative risk method. / QC 20101125

In this paper, a periodic maintenance model is formulated assumingcontinuous monitoring, imperfect preventive maintenance (PM) and perfect correctivemaintenance (CM) using three decision variables, (I, N, Z). The model is derived in aninfinite horizon context where the mean cost per unit time is modelled. PM actionsare performed N − 1 times at time instants iT for i = 1, ..., N − 1, where T = ∆T · Iand ∆T is a fixed positive number representing the minimum time allowed betweenPM actions and I is a time interval multiple representing the decision of how oftenPM actions should be performed. The N:th maintenance activity is either a plannedreplacement (if Z = 0) or a corrective replacement from letting the component runto failure (if Z = 1). Imperfect PM is modelled using age reductions, either using aconstant r or a factor γ. Previous research on assumptions of these types has beenlimited as the assumptions yield models of high complexity which are not analyticallytractable. However, assumptions of this type are considered more realistic than othermore thoroughly researched assumptions, using e.g. minimal CM. Therefore, twocomplimentary optimisation methods are proposed and evaluated, namely, completeenumeration and a specially derived genetic algorithm which can be used for differentproblem sizes respectively. Carefully determined solution bounds enabled completeenumeration to be applicable for many input parameter values which is a great strengthof the proposed model. / I denna rapport modelleras en periodisk underhållsmodell baserat på antagandenakontinuerlig tillsyn,. ofullständigt förebyggande underhåll (FU) och perfektavhjälpande underhåll (AU) genom tre beslutsvariabler (I, N, Z). Modellen härledsinom ramen för en oändlig planeringshorisont där genomsnittskostnaden pertidsenhet modelleras. FU åtgärder utförs vid N − 1 stycken tillfällen vid tidpunkternaiT för i = 1, ..., N − 1, där T = ∆T · I och ∆T är ett givet positivt tal som representerarden minsta tillåtna tiden mellan FU åtgärder och I är en tidsintervallmultipelsom representerar beslutet kring hur ofta FU åtgärder ska utföras. Den N:teunderhållsåtgärden är antingen ett planerat utbyte (om Z = 0) eller ett avhjälpandeutbyte från att låta komponenten arbeta tills dess att den går sönder (om Z = 1).Ofullständigt FU modelleras genom åldersreduktion, antingen genom en konstantr eller en faktor γ. Det har visat sig finnas få tidigare studier som baseras påliknande antaganden då antaganden av denna typ resulterar i modeller av högkomplexitet som inte går att optimera analytiskt. Dock anses antaganden av dennatyp vara mer realistiska än andra mer välstuderade antaganden som exempelvisminimalt AU. Därför föreslås och utvärderas två kompletterande optimeringsmetodertill modellen, nämligen, total genomsökning och en specifikt anpassad genetiskalgoritm som kan användas för olika problemstorlekar. Genom att härleda effektivalösningsavgränsningar kunde optimering med hjälp av total genomsökning bli möjligtför många olika värden på modell parametrarna vilket är en stor fördel med denslutgiltiga modellen.

This diploma thesis concerns issues of predictive and condition based maintenance system of machine tools with using a vibrodiagnostics. It studies and researches its impacts through the basic processes of the maintenance system and characterizes the vibration diagnosis as its tool and mean. There is also described a process of putting condition based maintenance into practice in the practical part of the thesis. The development is realized at Siemens Ltd. Brno with all its requirements and aspects such as a maintenance audit which means the decision on the suitability of condition based maintenance within the current maintenance system, technical analysis as a part of introduction of vibration diagnosis and the practical example of acquiring, recording and assessment of measured vibration. Prior to the end the economic evaluation of the planned predictive maintenance system and the design of the general model of development and implementation of the maintenance system into practice are included.

<p dir="ltr">Workflow management systems (WMSs) are commonly used to organize/automate sequences of tasks as workflows to accelerate scientific discoveries. During complex workflow modeling, a local interactive workflow environment is desirable, as users usually rely on their rich, local environments for fast prototyping and refinements before they consider using more powerful computing resources.</p><p dir="ltr">This dissertation delves into the innovative development of the CyberWater framework based on Workflow Management Systems (WMSs). Against the backdrop of data-intensive and complex models, CyberWater exemplifies the transition of intricate data into insightful and actionable knowledge and introduces the nuanced architecture of CyberWater, particularly focusing on its adaptation and enhancement from the VisTrails system. It highlights the significance of control and data flow mechanisms and the introduction of new data formats for effective data processing within the CyberWater framework.</p><p dir="ltr">This study presents an in-depth analysis of the design and implementation of Generic Model Agent Toolkits. The discussion centers on template-based component mechanisms and the integration with popular platforms, while emphasizing the toolkit’s ability to facilitate on-demand access to High-Performance Computing resources for large-scale data handling. Besides, the development of an asynchronously controlled workflow within CyberWater is also explored. This innovative approach enhances computational performance by optimizing pipeline-level parallelism and allows for on-demand submissions of HPC jobs, significantly improving the efficiency of data processing.</p><p dir="ltr">A comprehensive methodology for model-driven development and Python code integration within the CyberWater framework and innovative applications of GPT models for automated data retrieval are introduced in this research as well. It examines the implementation of Git Actions for system automation in data retrieval processes and discusses the transformation of raw data into a compatible format, enhancing the adaptability and reliability of the data retrieval component in the adaptive generic model agent toolkit component.</p><p dir="ltr">For the development and maintenance of software within the CyberWater framework, the use of tools like GitHub for version control and outlining automated processes has been applied for software updates and error reporting. Except that, the user data collection also emphasizes the role of the CyberWater Server in these processes.</p><p dir="ltr">In conclusion, this dissertation presents our comprehensive work on the CyberWater framework's advancements, setting new standards in scientific workflow management and demonstrating how technological innovation can significantly elevate the process of scientific discovery.</p>