Hybrid intelligent control for smart grid functionalities integration

Orientador: Alexandre Rasi AokiCoorientador: Germano Lambert-TorresTese (doutorado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Engenharia Elétrica. Defesa : Curitiba, 31/07/2020Inclui referências: p. 108-117Resumo: Ao longo dos anos, as redes de distribuição de energia estão ficando mais inteligentes e automatizadas, consequentemente problemas complexos emergem, onde estes são os gatilhos para melhorar antigos estudos e iniciar novas linhas de pesquisa. A Rede Elétrica Inteligente é o conceito abrangente para entender os novos problemas e alterar o comportamento tradicional do sistema para uma nova abordagem, partindo para uma rede com mais intercomunicação entre os elementos ativos. Para contribuir com avanços, a ideia principal desta tese é iniciar uma nova linha de pesquisa para combinar diferentes funcionalidades do Sistema Avançado de Gerenciamento da Distribuição (ADMS), a serem resolvidas por apenas um algoritmo ao mesmo tempo. Para iniciar os estudos dessa linha de desenvolvimento, foram selecionados os problemas mais comuns que causam grande impacto nas redes de distribuição, as interrupções inesperadas e as sobrecargas, resolvidas pelos algoritmos de Auto-Recuperação e Descarte de Carga, respectivamente. Os estudos atuais concentram-se em resolver o problema de Auto-Recuperação primeiro e depois, se o sistema iniciar ou manter uma sobrecarga, executar o descarte de carga para reduzir a carga e manter o sistema no modo operacional. No entanto, em vez de ter as duas funcionalidades trabalhando em um modo sequencial, por que não desenvolver um algoritmo exclusivo para processar o problema e resolvê-lo ao mesmo tempo, de forma simultânea? Assim, esta tese traz exatamente esse novo tipo de abordagem por meio da metodologia de Aprendizado por Reforço (um algoritmo de Machine Learning para tomar decisões) através do algoritmo Q-Learning. Em que os elementos do Q-Learning foram adaptado para reproduzir o ambiente como a rede de distribuição, a recompensa como a maximização da carga e as ações como a troca de posição das chaves (Auto- Recuperação) e a porcentagem de reduções de carga (Descarte da carga), a interagir no sistema para determinar o próximo estado (topologia). Para provar o algoritmo desenvolvido, foi utilizado um sistema urbano real com cinco alimentadores interconectados, onde o sistema foi dividido em um caso de três alimentadores, para determinar a escolha da política (a ?-greed foi a selecionada), criar alguns casos básicos e ser comparada com outras abordagens sequenciais. O caso completo foi usado para sobrecarregar o sistema e analisar os resultados para casos complexos. Em todas as simulações, os resultados encontraram uma boa solução após o estado de isolamento para maximizar a restauração da carga, e em alguns casos em que o sistema foi acionado por uma sobrecarga, o algoritmo pode, no mesmo momento, reconfigurar o sistema para evitar a sobrecarga e aplicar a redução de carga. Portanto, este trabalho forneceu uma nova linha de estudo e contribuir com uma nova linha de pesquisas a ser aprofundado em trabalhos futuros. Palavras-chave: ADMS. Auto-Recuperação. Descarte de Carga. Aprendizado por Reforço. Q-Learning. Rede de Distribuição. Abordagem Simultânea.Abstract: Along the year, the distribution networks are getting more intelligent and automated, consequently complex problems emerge, where these are the triggers to improve old studies or start new lines of researches. The Smart Grid is the broad concept to understand the new problems and change the traditional system behavior for a new approach, where more intelligence and intercommunication is improved to solve the several distribution problems. To contribute on the network enhancements, the main idea of this thesis is to start a new line of research to combine different Advanced Distribution Management System (ADMS) functionalities to be solved by only one algorithm at the same time. To start the studies on this line of strategy, it was selected the most usual problems that has a big impact in distribution networks, the unexpected outages and the overloads, which are solved by Self-Healing and Load Shedding algorithms respectively. The current studies focus to solve the Self-Healing problem first and after, if the system initiate or maintain an overload, executes the Load Shedding to reduce the load and keeps the system in an operative mode. However, instead of having both functionalities working in a sequential mode, why not developed a unique algorithm to process both problem and solve them at the same time? Thus, this thesis brings exactly this new type of approach through the Reinforcement Learning methodology (a Machine Learning algorithm to take decisions) using the Q-Learning algorithm. The Q-Learning elements were adapted to reproduces environment as the distribution network, the reward as the maximization of load and the actions as the switch commutation (Self-Healing) and percentual of load reductions (Load Shedding) to be selected and interact on the system to determine the next state (topology). To prove the algorithm developed, it was used a real urban system with five interconnected feeders, where the system was divided in a three-feeder case, to determine the policy choice (?-greed was selected), create some basic cases and be compared with other Self-Healing + Load Shedding sequential approaches. The complete case was used to overload the system and analyze the results for complex cases. In all simulations the results could find a good solution after the isolation state to maximizes the load restoration, and some cases where the system was trigger by an overload the algorithm could at the same moment reconfigure the system to avoid the overload and apply the load curtailment. Thus, this work provided a new line of study and contribute for new researches on this area to go deeper and improve ADMS algorithms. Keyworlds: ADMS. Self-Healing. Load Shedding. Reinforcement Learning. Q-Learning. Distribution Network. Simultaneous Approac

Prévision hydrologique à court terme par réseaux de neurones artificiels pour différentes combinaisons, spatialisations et sources des intrants.

Le potentiel de l’utilisation des réseaux de neurones artificiels en prévision hydrologique à court terme (un à sept jours à l’avance) a été démontré dans plusieurs études. Toutefois, les exemples d’utilisation en opérationnel restent limités et la compréhension de l’intérêt de plusieurs variables d’intrants au modèle pas encore entièrement déterminée. Le rôle de la spatialisation des intrants dans ce type de modèle n’est pas connu. Cette thèse examine le rôle de différents intrants, de leur discrétisation spatiale à un modèle de prévision hydrologique à court terme. Elle vise également à confronter différentes sources de données utilisées comme intrants au modèle. Le modèle de réseaux de neurones développé est un modèle à rétropropagation avec une couche cachée à six neurones. Quatre bassins versants situés en Nouvelle Angleterre (Androscoggin et Susquehanna) ou dans le sud du Québec (Au saumon et Magog) servent de cas d’étude pour faire la prévision durant l’été, défini du 1er mai au 31 octobre. Le modèle de prévision hydrologique vise à prévoir le débit au pas de temps journalier. Au minimum une variable météorologique et une variable d’état sont utilisées comme intrants au modèle ; la variable d’état est aussi mise à jour à chaque pas de temps en étant une sortie du modèle. Deux environnements de travail sont exploités. L’environnement virtuel sert à identifier les variables d’intrants et la spatialisation les plus pertinentes pour la prévision hydrologique à court terme sur les bassins à l’étude. Le modèle hydrologique à base physique HYDROTEL est utilisé pour générer des séries de pseudo-observations hydrométéorologiques sur chaque site d’étude. Les expériences menées dans cet environnement virtuel révèlent que la meilleure configuration d’intrants utilise la température, la précipitation, l’humidité du sol en surface et le débit. De plus, elles révèlent que les modèles global et spatialisé ont des résultats équivalents. Basé sur les résultats obtenus en environnement virtuel, l’environnement réel utilise des données d’observations pour le débit et l’humidité et des données de réanalyses de température et de précipitation pour la météo. Les résultats montrent un réel potentiel dans l’utilisation d’un réseau de mesure in situ de l’humidité au sol pour faire de la prévision hydrologique. En revanche, la qualité des prévisions est très réduite pour les faibles débits

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen

ICTERI 2020: ІКТ в освіті, дослідженнях та промислових застосуваннях. Інтеграція, гармонізація та передача знань 2020: Матеріали 16-ї Міжнародної конференції. Том II: Семінари. Харків, Україна, 06-10 жовтня 2020 р.

This volume represents the proceedings of the Workshops co-located with the 16th International Conference on ICT in Education, Research, and Industrial Applications, held in Kharkiv, Ukraine, in October 2020. It comprises 101 contributed papers that were carefully peer-reviewed and selected from 233 submissions for the five workshops: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. The volume is structured in six parts, each presenting the contributions for a particular workshop. The topical scope of the volume is aligned with the thematic tracks of ICTERI 2020: (I) Advances in ICT Research; (II) Information Systems: Technology and Applications; (III) Academia/Industry ICT Cooperation; and (IV) ICT in Education.Цей збірник представляє матеріали семінарів, які були проведені в рамках 16-ї Міжнародної конференції з ІКТ в освіті, наукових дослідженнях та промислових застосуваннях, що відбулася в Харкові, Україна, у жовтні 2020 року. Він містить 101 доповідь, які були ретельно рецензовані та відібрані з 233 заявок на участь у п'яти воркшопах: RMSEBT, TheRMIT, ITER, 3L-Person, CoSinE, MROL. Збірник складається з шести частин, кожна з яких представляє матеріали для певного семінару. Тематична спрямованість збірника узгоджена з тематичними напрямками ICTERI 2020: (I) Досягнення в галузі досліджень ІКТ; (II) Інформаційні системи: Технології і застосування; (ІІІ) Співпраця в галузі ІКТ між академічними і промисловими колами; і (IV) ІКТ в освіті

PROFILING - CONCEPTS AND APPLICATIONS

Profiling is an approach to put a label or a set of labels on a subject, considering the characteristics of this subject. The New Oxford American Dictionary defines profiling as: “recording and analysis of a person’s psychological and behavioral characteristics, so as to assess or predict his/her capabilities in a certain sphere or to assist in identifying a particular subgroup of people”. This research extends this definition towards things demonstrating that many methods used for profiling of people may be applied for a different type of subjects, namely things. The goal of this research concerns proposing methods for discovery of profiles of users and things with application of Data Science methods. The profiles are utilized in vertical and 2 horizontal scenarios and concern such domains as smart grid and telecommunication (vertical scenarios), and support provided both for the needs of authorization and personalization (horizontal usage).:The thesis consists of eight chapters including an introduction and a summary. First chapter describes motivation for work that was carried out for the last 8 years together with discussion on its importance both for research and business practice. The motivation for this work is much broader and emerges also from business importance of profiling and personalization. The introduction summarizes major research directions, provides research questions, goals and supplementary objectives addressed in the thesis. Research methodology is also described, showing impact of methodological aspects on the work undertaken. Chapter 2 provides introduction to the notion of profiling. The definition of profiling is introduced. Here, also a relation of a user profile to an identity is discussed. The papers included in this chapter show not only how broadly a profile may be understood, but also how a profile may be constructed considering different data sources. Profiling methods are introduced in Chapter 3. This chapter refers to the notion of a profile developed using the BFI-44 personality test and outcomes of a survey related to color preferences of people with a specific personality. Moreover, insights into profiling of relations between people are provided, with a focus on quality of a relation emerging from contacts between two entities. Chapters from 4 to 7 present different scenarios that benefit from application of profiling methods. Chapter 4 starts with introducing the notion of a public utility company that in the thesis is discussed using examples from smart grid and telecommunication. Then, in chapter 4 follows a description of research results regarding profiling for the smart grid, focusing on a profile of a prosumer and forecasting demand and production of the electric energy in the smart grid what can be influenced e.g. by weather or profiles of appliances. Chapter 5 presents application of profiling techniques in the field of telecommunication. Besides presenting profiling methods based on telecommunication data, in particular on Call Detail Records, also scenarios and issues related to privacy and trust are addressed. Chapter 6 and Chapter 7 target at horizontal applications of profiling that may be of benefit for multiple domains. Chapter 6 concerns profiling for authentication using un-typical data sources such as Call Detail Records or data from a mobile phone describing the user behavior. Besides proposing methods, also limitations are discussed. In addition, as a side research effect a methodology for evaluation of authentication methods is proposed. Chapter 7 concerns personalization and consists of two diverse parts. Firstly, behavioral profiles to change interface and behavior of the system are proposed and applied. The performance of solutions personalizing content either locally or on the server is studied. Then, profiles of customers of shopping centers are created based on paths identified using Call Detail Records. The analysis demonstrates that the data that is collected for one purpose, may significantly influence other business scenarios. Chapter 8 summarizes the research results achieved by the author of this document. It presents contribution over state of the art as well as some insights into the future work planned

Social work with airports passengers

Social work at the airport is in to offer to passengers social services. The main methodological position is that people are under stress, which characterized by a particular set of characteristics in appearance and behavior. In such circumstances passenger attracts in his actions some attention. Only person whom he trusts can help him with the documents or psychologically

Quantitative Techniques in Participatory Forest Management

Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management

Quantitative Techniques in Participatory Forest Management

Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management

Negoitation in Modernity : The BAZNAS (National Zakat Collection Agency) and the Philosophy of Zakat (Alms) Socialization in Indonesia

To pay Zakat (alms) is an obligation for a Muslim. However, this religious obligation cannot encourage Muslims in Indonesia to pay Zakat. In fact, in several cities, some Zakat organizations are established to collect the zakat. Some of them is the BAZNAS which is spread in most cities in Indonesia. In fact, this organization is a semi-government because there are some collaborations between the BAZNAS and local government in most regions. This collaboration indicates also that it tries to get benefit from the modern and established government structure. This article aims to know the BAZNAS negoitation with modernity, specifically it wants to deal with the BAZNAS zakat socialization. Using a case study, this article finds that the zakat organization like the BAZNAS Kepulauan Meranti Indonesia deals with a complicated negoitation with modernity through its zakat socialization. In fact, there is a religious understanding among Muslims there that to pay zakat is an obligation but it cannot deal with their religious awareness to pay zakat. This article identifies that disseminating the zakat payment obligation is a never ending project. The BAZNAS improves Muslim understanding about Zakat through socialization. Some socialization activities done are using modern instruments but some are not. Keywords : Zakat, BAZNAS (National Zakat Collection Agency), Socialization