975 resultados para medium voltage network
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Distribution companies are facing numerous challenges in the near future. Regulation defines correlation between power quality and revenue cap. Companies have to take measures for reliability increase to successfully compete in modern conditions. Most of the failures seen by customers originate in medium voltage networks. Implementation of network automation is the very effective measure to reduce duration and number of outages, and consequently, outage costs. Topic of this diploma work is study of automation investments effect on outage costs and other reliability indices. Calculation model have been made to perform needed reliability calculations. Theoretical study of different automation scenarios has been done. Case feeder from actual distribution company has been studied and various renovation plans have been suggested. Network automation proved to be effective measure for increasing medium voltage network reliability.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The aim of this thesis is to investigate the thermal loading of medium voltage three-level NPC inverter’s semiconductor IGCT switches in different operation points. The objective is to reach both a fairly accurate off-line simulation program and also so simple a simulation model that its implementation into an embedded system could be reasonable in practice and a real time use should become feasible. Active loading limitation of the inverter can be realized with a thermal model which is practical in a real time use. Determining of the component heating has been divided into two parts; defining of component losses and establishing the structure of a thermal network. Basics of both parts are clarified. The simulation environment is Matlab-Simulink. Two different models are constructed – a more accurate one and a simplified one. Potential simplifications are clarified with the help of the first one. Simplifications are included in the latter model and the functionalities of both models are compared. When increasing the calculation time step a decreased number of considered components and time constants of the thermal network can be used in the simplified model. Heating of a switching component is dependent on its topological position and inverter’s operation point. The output frequency of the converter defines mainly which one of the switching components is – because of its losses and heating – the performance limiting component of the converter. Comparison of results given by different thermal models demonstrates that with larger time steps, describing of fast occurring switching losses becomes difficult. Generally articles and papers dealing with this subject are written for two-level inverters. Also inverters which apply direct torque control (DTC) are investigated rarely from the heating point of view. Hence, this thesis completes the former material.
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Nowadays power drives are the essential part almost of all technological processes. Improvement of efficiency and reduction of losses require development of semiconductor switches. It has a particular meaning for the constantly growing market of renewable sources, especially for wind turbines, which demand more powerful semiconductor devices for control with growth of power. Also at present semiconductor switches are the key component in energy transmission, optimization of generation and network connection. The aim of this thesis is to make a survey of contemporary semiconductor components, showing difference in structures, advantages, disadvantages and most suitable applications. There is topical information about voltage, frequency and current limits of different switches. Study tries to compare dimensions and price of different components. Main manufacturers of semiconductor components are presented with the review of devices produced by them, and a conclusion about their availability was made. IGBT is selected as a main component in this study, because nowadays it is the most attractive component for usage in power drives, especially at the low levels of medium voltage. History of development of IGBT structure, static and dynamic characteristics are considered. Thesis tells about assemblies and connection of components and problems which can appear. One of key questions about semiconductor materials and their future development was considered. For the purpose of comparison strong and weak sides of different switches, calculation of losses of IGBT and its basic competitor – IGCT is presented. This master’s thesis makes an effort to answer the question if there are at present possibilities of accurate selection of switches for electrical drives of different rates of power and looks at future possible ways of development of semiconductor market.
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Thyristor-based onload tap-changing ac voltage stabilizers are cheap and robust. They have replaced most mechanical tap-changers in low voltage applications from 300 VA to 300 M. Nevertheless, this replacement hardily applies to tap-changers associated to transformers feeding medium-voltage lines (typically 69 kV primary, 34.5 kV line, 10 MVA) which need periodical maintenance of contacts and oil. The Electric Power Research Institute (EPRI) has studied the feasibility of this replacement. It detected economical problems derived from the need for series association of thyristors to manage the high voltages involved, and from the current overload developed under line fault. The paper reviews the configurations used in that field and proposes new solutions, using a compensating transformer in the main circuit and multi-winding coils in the commutating circuit, with reduced overload effect and no series association of thyristors, drastically decreasing their number and rating. The stabilizer can be installed at any point of the line and the electronic circuit can be fixed to ground. Subsequent works study and synthesize several commutating circuits in detail.
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With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.
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In the 2000’s Finland suffered from storms that caused long outages in electricity distribution, longest up to two weeks. These major disturbances increased the importance of supply security. In 2013 new Electricity Market Act was announced. It defined maximum duration for outages, 6 h for city plan areas and 36 h for other areas. The aim for this work is to determine required major disturbance proof level for a study area and find tools for prioritizing overhead lines for cabling renovation to improve supply security. Three prioritization methods were chosen to be studied: A: prioritization line sections by customer outage costs they cause, B: maximizing customers major disturbance proof network and C: minimizing excavation costs in medium voltage network. Profitability calculations showed that prioritization method A was the most profitable and C had the weakest profitability. The prioritization method C drove renovation into unreasonable locations in the study area in reliability point of view. Therefore universal rule prioritization methods couldn’t be made from the prioritization methods. This led to the conclusion that every renewing area need to be evaluated in a case by case basis.
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The Distribution Network Operators (DNOs) role is becoming more difficult as electric vehicles and electric heating penetrate the network, increasing the demand. As a result it becomes harder for the distribution networks infrastructure to remain within its operating constraints. Energy storage is a potential alternative to conventional network reinforcement such as upgrading cables and transformers. The research presented here in this paper shows that due to the volatile nature of the LV network, the control approach used for energy storage has a significant impact on performance. This paper presents and compares control methodologies for energy storage where the objective is to get the greatest possible peak demand reduction across the day from a pre-specified storage device. The results presented show the benefits and detriments of specific types of control on a storage device connected to a single phase of an LV network, using aggregated demand profiles based on real smart meter data from individual homes. The research demonstrates an important relationship between how predictable an aggregation is and the best control methodology required to achieve the objective.
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Reinforcing the Low Voltage (LV) distribution network will become essential to ensure it remains within its operating constraints as demand on the network increases. The deployment of energy storage in the distribution network provides an alternative to conventional reinforcement. This paper presents a control methodology for energy storage to reduce peak demand in a distribution network based on day-ahead demand forecasts and historical demand data. The control methodology pre-processes the forecast data prior to a planning phase to build in resilience to the inevitable errors between the forecasted and actual demand. The algorithm uses no real time adjustment so has an economical advantage over traditional storage control algorithms. Results show that peak demand on a single phase of a feeder can be reduced even when there are differences between the forecasted and the actual demand. In particular, results are presented that demonstrate when the algorithm is applied to a large number of single phase demand aggregations that it is possible to identify which of these aggregations are the most suitable candidates for the control methodology.
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This paper assesses the impact of the location and configuration of Battery Energy Storage Systems (BESS) on Low-Voltage (LV) feeders. BESS are now being deployed on LV networks by Distribution Network Operators (DNOs) as an alternative to conventional reinforcement (e.g. upgrading cables and transformers) in response to increased electricity demand from new technologies such as electric vehicles. By storing energy during periods of low demand and then releasing that energy at times of high demand, the peak demand of a given LV substation on the grid can be reduced therefore mitigating or at least delaying the need for replacement and upgrade. However, existing research into this application of BESS tends to evaluate the aggregated impact of such systems at the substation level and does not systematically consider the impact of the location and configuration of BESS on the voltage profiles, losses and utilisation within a given feeder. In this paper, four configurations of BESS are considered: single-phase, unlinked three-phase, linked three-phase without storage for phase-balancing only, and linked three-phase with storage. These four configurations are then assessed based on models of two real LV networks. In each case, the impact of the BESS is systematically evaluated at every node in the LV network using Matlab linked with OpenDSS. The location and configuration of a BESS is shown to be critical when seeking the best overall network impact or when considering specific impacts on voltage, losses, or utilisation separately. Furthermore, the paper also demonstrates that phase-balancing without energy storage can provide much of the gains on unbalanced networks compared to systems with energy storage.
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This paper introduces a method for the supervision and control of devices in electric substations using fuzzy logic and artificial neural networks. An automatic knowledge acquisition process is included which allows the on-line processing of operator actions and the extraction of control rules to replace gradually the human operator. Some experimental results obtained by the application of the implemented software in a simulated environment with random signal generators are presented.
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A existência do regime de neutro em subestações de distribuição de energia elétrica é essencial para o bom funcionamento de toda a rede. Existe um vasto leque de opções no que diz respeito aos regimes de neutro. Cada opção tem as suas vantagens e desvantagens, e cabe às empresas do setor elétrico a escolha do regime de neutro mais adequado em função das caraterísticas da rede. A escolha do regime de neutro tem influência direta no desempenho global de toda a rede de média tensão. O principal objetivo desta dissertação é o estudo e a análise das vantagens e inconvenientes dos vários regimes de neutro: neutro isolado, neutro impedante, ligado diretamente à terra, neutro ressonante, analisando as suas vantagens e inconvenientes. É feito um estudo aprofundado do regime de neutro ressonante, também designado por regime de neutro com a Bobine de Petersen. Este trabalho descreve, ainda, de forma sucinta a situação de Portugal relativamente aos regimes de neutro que utiliza e a sua perspetiva futura. Por fim é apresentado um caso de estudo, que diz respeito a uma rede de média tensão (30 kV) alimentada pela subestação de Serpa. Foram estudados os regimes de neutro como a bobine de Petersen, reatância de neutro e neutro isolado. Foi também estudada a influência na ocorrência de um defeito fase-terra e a influência na ocorrência de defeitos francos e resistivos em vários pontos da rede.
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Diplomityössä määritellään sähkönjakeluverkon suunnitteluperusteet. Suunnitteluperusteet antavat ohjeet verkostosuunnittelijoille siitä, miten sähköverkko suunnitellaan sähköteknisesti oikein, taloudelliset näkökohdat huomioiden. Työn alussa määritellään kaikkiin suunnittelutehtäviin vaikuttavat sähkötekniset ja taloudelliset laskentaparametrit. Oikeiden parametrien käyttäminen on ehdottoman tärkeää totuudenmukaisten lopputulosten saavuttamiseksi. Eniten lopputuloksiin vaikuttaville laskentaparametreille suoritetaan työn loppuosassa herkkyysanalyysi, jotta tulevaisuuden mahdollisesti erilaiset olosuhteet voitaisiin huomioida. Varsinaisissa suunnitteluun liittyvissä osioissa käsitellään keski- ja pienjänniteverkkojen suunnittelunlisäksi jakelumuuntajan mitoittaminen, sekä määritellään rajat erilaisille verkoston rakenteille. Erityisesti elinkaarikustannusajattelua painotetaan suunnittelutehtävissä ottamalla huomioon komponenttien koko pitoaikana syntyvät kustannukset.
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Tämän työn tavoitteena on tarkastella keskijänniteverkonja sähköasemien kehittämistarpeita kahdella kohdealueella Kymenlaakson Sähköverkko Oy:n verkossa. Tarkastelun pohjatiedoiksi selvitettiin verkon sähköinen nykytila, luotettavuus, verkon topologia, kuormitusten jakautuminen ja muodostettiintulevaisuuden kuormitusennusteet. Lisäksi tarkasteltiin sähköasemien korvattavuus. Keskeiseksi työn sisällöksi muodostui kevytsähköasemien eri sijoituspaikkojen kannattavuustarkastelut, ottaen huomioon uuden keskijännitesyöttöpisteen vaikutukset keskijänniteverkon vahvistustarpeisiin, häviöihin ja käyttövarmuuteen. Laskelmat suoritettiin elinkaarikustannusperiaatteella huomioiden investointien, keskeytyksestä aiheutuneen haitan, häviöiden, kunnossapidon javiankorjauksen kustannukset. Työn tuloksena saatiin investointistrategiaehdotukset, joiden pohjalta verkkoyhtiö voi tehdä lähitulevaisuuden ratkaisuja sekä valmistautua tuleviin investointeihin.
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Tässä diplomityössä tutkittiin ilmastonmuutoksen vaikutusta sähköverkkoliiketoimintaan. Ilmastonmuutosennusteet laadittiin RCAOilmastomallin antamien laskelmien perusteella. Ilmastomuuttujien ennusteet tehtiin ajanjaksolle 2016 - 2045 ja ennusteiden vertailujaksona käytettiin ajanjaksoa 1960 - 1990. Ennusteet laadittiin sadannalle, lämpötilalle, kuuraantumiselle, huurteelle, ukkoselle, routaantumiselle ja tuulisuudelle. Ilmastomuuttujien vaikutukset arvioitiin sekä tekniseltä että taloudelliselta kannalta. Ilmastonmuutoksen myötä on odotettavissa, että ilmastomuuttujien aiheuttamat rasitukset verkkoliiketoimintaa kohtaan tulevat olemaan niistä saatuja hyötyjä suuremmat. Vikamäärien kasvu on merkittävin ja haastavin ilmastonmuutoksen aiheuttama haitta. Ukkonen, lumikuormat ja tuuli tulevat aiheuttamaan nykyistä enemmän vikoja erityisesti keskijänniteverkoissa avojohdoille ellei verkkoja kehitetä vikavarmemmiksi. Lämpötilan nousun seurauksena lämmitystarve laskee ja jäähdytystarve nousee. Tämä näkyy merkittävimmin voimakkaasti lämpötilariippuvaisten käyttäjäryhmien sähkönkulutuksessa ja huippukuormissa.