977 resultados para Smart grids Distribution
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This paper proposes a smart battery charging strategy for Electric Vehicles (EVs) targeting the future smart homes. The proposed strategy consists in regulate the EV battery charging current in function of the total home current, aiming to prevent overcurrent trips in the main switch breaker. Computational and experimental results were obtained under real-time conditions to validate the proposed strategy. For such purpose was adapted a bidirectional EV battery charger prototype to operate in accordance with the aforementioned strategy. The proposed strategy was validated through experimental results obtained both in steady and transient states. The results show the correct operation of the EV battery charger even under heavy load variations.
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Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament.. Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament.
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Sähkönjakeluverkkoyhtiöllä on sähkön siirtopalveluun alueellinen monopoli. Siirtohinnoittelun reunaehdot tulevat sähkömarkkinalaista ja hintojen kohtuullisuutta valvoo ja sääntelee Energiamarkkinavirasto. Tässä työssä selvitetään Turku Energia Sähköverkot Oy:lle kustannusvastaavat aiheuttamisperiaatteen mukaiset siirtohinnat. Samalla muodostetaan yleis-, yö- ja kausituotteiden perusmaksuihin asiakkaan liittymispisteen pääsulakkeen kokoon perustuva porrastus. Sulakeporrastuksen käyttöönotolla pystytään kehittämään siirtohinnoittelun kustannusvastaavuutta ja noudattamaan aiheuttamisperiaatteen mukaista hinnoittelupolitiikkaa entistä paremmin. Työssä tutkitaan siirtohinnoittelun kehitysnäkymiä myös pidemmällä tähtäimellä. Älykkäiden sähköverkkojen kehittyminen ja erityisesti etäluettavien mittareiden käyttöönotto tulevat luomaan kehitysmahdollisuuksia siirtohinnoitteluun tulevaisuudessa. Laitteista saatavia tarkkoja sähkönkulutus- ja tehotietoja voidaan käyttää kustannusvastaavuuslaskennan taustalla. Jotta verkon käyttö olisi sen mitoitukseen nähden mahdollisimman tehokasta, tulisi kuorman jakautua mahdollisimman tasaisesti ajan suhteen. Verkossa esiintyviä kulutushuippuja pystytään tulevaisuudessa mahdollisesti tasoittamaan esimerkiksi kuorman ohjauksen avulla, jonka tehokeinona voidaan käyttää siirtohinnoittelua. Siirtohinnoilla voidaan mahdollisesti vaikuttaa myös esimerkiksi kulutuksen ja tuotannon ajoittamiseen sekä kannusta asiakkaita loistehon kompensointiin. Siirtotuotteiden täytyy myös kehittyä asiakkaiden tarpeiden kehittymisen rinnalla ja esimerkiksi sähkön laadun tuotteistaminen voi olla eräs keino vastaamaan tiukentuneisiin vaatimuksiin.
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The present study deals with innovation diffusion as the central component of innovation process and takes smart meters as a concrete example from the electric power industry. Smart meters are seen as key enablers of the industry-wide shift towards smart grids and are recognized by the European Union as means of reaching its environmental and energy goals. However, the spread of smart meters through the market, especially in Central East Europe (CEE), is not corresponding to the expectations and identified benefits. The current work synthesizes available data for the under-researched geographical region of CEE and clarifies the process of smart meter diffusion and drivers behind it. In addition to innovation theories the methods applied are rate of adoption and thematic analysis. The results prove the large gap between optimal and actual diffusion as well as the lagging position of CEE in comparison to the EU’s market leaders. The smart metering market is driven from bottom-up and the majority of CEE countries have already carried out or started the initial activities. Therefore, in coming years more intensive smart meters deployment will be seen.
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Euroopan unionin asettamat uusiutuvan energian lisäämistavoitteet ovat kasvattaneet hajautetun tuotannon määrää Euroopassa. Eri hajautetun tuotannon verkkokoodit asettavat tuotantolaitoksille omat vaatimuksensa, mikä vaikeuttaa eri toimijoita, joten yhtenäiselle verkkokoodille on tarvetta. ENTSO-E onkin luomassa tällä hetkellä Euroopan unionille yhtenäisiä pilottiverkkokoodeja, joiden tarkoitus on myöhemmin kattaa kaikkia tuotantolaitoksia koko Euroopassa. Tämän vuoksi ENTSO-E:n verkkokoodien vaatimuksia on syytä tutkia. Tässä diplomityössä tarkastellaan hajautetun tuotannon nykyisiä ja ENTSO-E:n kehitteillä olevia verkkokoodeja. Työssä tutkitaan myös älykkäiden verkkojen ja verkkokoodien kehitystä. Verkkokoodien vertailuja suoritetaan pohjoismaisesta näkökulmasta, mutta vertailuun on otettu myös muita Euroopan maita. Tarkastelu painottuu siirto- ja jakeluverkkokoodien osalta tuulivoimalle asetettaviin vaatimuksiin. Mikrotuotannon verkkokoodien ja käytännön toimien tarkastelu keskittyy invertterin kautta verkkoonliitettäviin tuotantolaitoksiin, joissa aurinkotuotanto on merkittävin tuotantomuoto.
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Älykkäiden sähköverkkojen (Smart Grid) avulla pyritään vastaamaan sähkönkäytön tehostamisvaatimuksiin. Pientuotanto on yksi tärkeimmistä älykkäiden sähköverkkojen osatekijöistä. Suomessa yksityishenkilöiden innostus omaan sähköntuotantoon ei ole vielä virinnyt, monista eri tekijöistä johtuen. Tulevaisuuden sähköverkoissa pientuotannon rooli on kuitenkin merkittävä. Diplomityössä tarkastellaan pientuotannon yleistymisen edellytyksiä ja tuotannon pienjänniteverkkoon liittämistä. Pientuotannon potentiaalia tarkastellaan eri tuotantomuotojen ja niiden kannattavuuden näkökulmasta. Työn tärkein osuus keskittyy verkkoonliittämismääräyksiin ja sähköturvallisuuteen. Pienjänniteverkkoon liitetty tuotantolaitos on uusi syöttöpiste verkossa ja aiheuttaa esimerkiksi suojaushaasteita. Lisäksi aihepiiri on vielä uusi ja toimintamenetelmät ovat osin vaillinaisia. Työssä esitetään tärkeimmät haasteet, pohditaan niiden merkittävyyttä ja käydään läpi ratkaisuvaihtoehtoja. Selviä teknisiä esteitä pientuotannon yleistymiselle ei Suomessa ole.
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Production and generation of electrical power is evolving to more environmental friendly technologies and schemes. Pushed by the increasing cost of fossil fuels, the operational costs of producing electrical power with fossil fuels and the effect in the environment, like pollution and global warming, renewable energy sources gain con-stant impulse into the global energy economy. In consequence, the introduction of distributed energy sources has brought a new complexity to the electrical networks. In the new concept of smart grids and decen-tralized power generation; control, protection and measurement are also distributed and requiring, among other things, a new scheme of communication to operate with each other in balance and improve performance. In this research, an analysis of different communication technologies (power line communication, Ethernet over unshielded twisted pair (UTP), optic fiber, Wi-Fi, Wi-MAX, and Long Term Evolution) and their respective characteristics will be carried out. With the objective of pointing out strengths and weaknesses from different points of view (technical, economical, deployment, etc.) to establish a richer context on which a decision for communication approach can be done depending on the specific application scenario of a new smart grid deployment. As a result, a description of possible optimal deployment solutions for communication will be shown considering different options for technologies, and a mention of different important considerations to be taken into account will be made for some of the possible network implementation scenarios.
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In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.
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The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids. © 2013 IEEE.
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In dealing with computer networks, these allow the flow of information through the resources of various equipment's. This work describes the implementation through the encapsulation of Protocol DNP3, usually employed in Smart Grid communication, in a simulator of discrete events. The NS-2 is a simulator in open source of network events, that facilitate the development of communication networks scenarios considering the protocols involved, in wireless or wired technologies. The objective of this work is to develop the DNP3 protocol encapsulation over a TCP/IP in the in the discrete event Simulator NS-2, allowing an analysis of behavior of a middle or large network sized in Smart Grid applications. © 2013 IEEE.
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Engenharia Elétrica - FEIS
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Faced with an imminent restructuring of the electric power system, over the past few years many countries have invested in a new paradigm known as Smart Grid. This paradigm targets optimization and automation of electric power network, using advanced information and communication technologies. Among the main communication protocols for Smart Grids we have the DNP3 protocol, which provides secure data transmission with moderate rates. The IEEE 802.15.4 is another communication protocol also widely used in Smart Grid, especially in the so-called Home Area Network (HAN). Thus, many applications of Smart Grid depends on the interaction of these two protocols. This paper proposes modeling, in the traditional network simulator NS-2, the integration of DNP3 protocol and the IEEE 802.15.4 wireless standard for low cost simulations of Smart Grid applications.
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Smart grids are the focus of major study today because of the necessity of modernization in electrical systems and reduction of greenhouse gas emissions that increases global warming. Reaching the best deployment method, you must first of all know the current electrical system and how to use them for the benefit of this new technology. Preparing the action plan we should be aware of the main points of smart grids in each step of the electricity system - generation, transmission and distribution. Analyzed these topics, this work will focus on the first step in the implementation of the smart grids: the smart meters, tool which is already being implemented in Brazil. The main characteristics and applications of these devices, as well as their communication structure with the core distributors will be showed during the paper. Finally, we present a case study which will be discussed and analyzed based in the results obtained with the implementation of smart meters in the city of Vancouver, Canada, where we have a considerable savings already in the first year, with fully paying the initial investment and still have a profit
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Pós-graduação em Engenharia Elétrica - FEIS