Previsão de avarias em transformadores de potência através da análise de ensaios físico-químicos

Os Transformadores de potência são máquinas de elevada importância ao nível dos Sistemas Elétricos de Energia (SEE) uma vez que são estas máquinas que possibilitam a interligação dos diferentes níveis de tensão da rede e a transmissão de energia elétrica em Corrente Alternada (CA). Geralmente, estas máquinas são de grandes dimensões e de elevado nível de complexidade construtiva. Caracterizam-se por possuírem períodos de vida útil bastante elevados (vinte a trinta anos) e preços elevados, o que conduz a um nível de exigência de fiabilidade muito elevada, uma vez que não e viável a existência de muitos equipamentos de reserva nos SEE. Com o objetivo de tentar maximizar o período de vida útil dos transformadores de potência e a sua fiabilidade, tenta-se, cada vez mais, implementar conceitos de manutenção preventiva a este tipo de máquinas. No entanto, a gestão da sua vida útil e extremamente complexa na medida em que, estas máquinas têm vários componentes cruciais e suscetiveis de originar falhas e, quase todos eles, encontram-se no interior de uma cuba. Desta forma, não e possível obter uma imagem do seu estado, em tempo real, sem colocar o transformador fora de serviço, algo que acarreta custos elevados. Por este motivo, desenvolveu-se uma técnica que permite obter uma indicação do estado do transformador, em tempo real, sem o retirar de serviço, colhendo amostras do óleo isolante e procedendo a sua análise físico-química e Analise Gases Dissolvidos (DGA). As análises aos óleos isolantes tem vindo a adquirir uma preponderância muito elevada no diagnóstico de falhas e na analise do estado de conservação destes equipamentos tendo-se desenvolvido regras para interpretação dos parâmetros dos óleos com carácter normativo. Considerando o conhecimento relativo a interpretação dos ensaios físico-químicos e DGA ao oleol, e possível desenvolver ferramentas capazes de otimizar essas mesmas interpretações e aplicar esse conhecimento no sentido de prever a sua evolução, assim como o surgimento de possíveis falhas em transformadores, para assim otimizar os processos de manutenção. Neste campo as Redes Neuronais Artificiais (RNAs) têm um papel fundamental

Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.

Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.

Portugal

In 2014, the wind energy sector achieved a maturity status within the Portuguese power system. While it still experienced some additional capacity deployment (222 MW), after 15 years of intense deployment Portugal reached 4, 953 MW of installed wind power capacity by the end of 2014. Wind power represents 25% (considering only mainland Portugal) of the total operational capacity and 42% of renewable energy capacity in the country. In 2014, Portuguese wind parks produced 12.1 TWh maintaining a wind energy contribution of 24% of the annually electricity consumption. This high wind penetration was influenced by the favorable wind conditions observed in the first three months of the year over central and northern regions of mainland Portugal that also correspond to the largest concentration of installed wind capacity.

Bidirectional battery charger with grid-to-vehicle, vehicle-to-grid and vehicle-to-home technologies

This paper presents the development of na on-board bidirectional battery charger for Electric Vehicles (EVs) targeting Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), and Vehicle-to-Home (V2H) technologies. During the G2V operation mode the batteries are charged from the power grid with sinusoidal current and unitary power factor. During the V2G operation mode the energy stored in the batteries can be delivered back to the power grid contributing to the power system stability. In the V2H operation mode the energy stored in the batteries can be used to supply home loads during power outages, or to supply loads in places without connection to the power grid. Along the paper the hardware topology of the bidirectional battery charger is presented and the control algorithms are explained. Some considerations about the sizing of the AC side passive filter are taken into account in order to improve the performance in the three operation modes. The adopted topology and control algorithms are accessed through computer simulations and validated by experimental results achieved with a developed laboratory prototype operating in the different scenarios.

Strategic planning of electricity systems: Integrating renewable energies

Tese de Doutoramento - Programa Doutoral em Engenharia Industrial e Sistemas (PDEIS)

Conceção técnica e avaliação económica de um veículo solar para venda de produtos refrigerados

Dissertação de mestrado integrado em Engenharia Mecânica

Disseny i aplicació del protocol d'instal·lació d'energia fotovoltaica en edificis aïllats de la xarxa elèctrica al PNAP

En el perímetre del parc es troben gran nombre d’edificacions amb mancances de subministrament elèctric per la gran dispersió de la població de la comarca. L’objectiu d’aquest estudi és desenvolupar un protocol per determinar la viabilitat de l’energia fotovoltaica en edificis aïllats i aplicar-la de forma pilot a dos edificis gestionats pels responsables del Parc Natural de l’Alt Pirineu: el Centre de Logística i Manteniment (CLM) i el Refugi del Fornet. Aquests han estat escollits per la seva representativitat com a edificis aïllats de la xarxa elèctrica convencional. S’ha elaborat una metodologia pròpia, el Protocol d’instal·lació d’energia fotovoltaica en edificis aïllats de la xarxa elèctrica. S’ha realitzat una anàlisi de sensibilitats del dimensionat fotovoltaic davant la modificació de diversos paràmetres rellevants. Això ha permès determinar les característiques òptimes de viabilitat per als dos edificis en estudi i el cost de la instal·lació fotovoltaica (17.183€ el CLM i 164.815 € el Refugi del Fornet). Els resultats obtinguts en els dos edificis pilot han mostrat el gran cost relatiu entre l’energia fotovoltaica i l’energia elèctrica produïda a partir de combustibles fòssils.

Control de la derivació de l'aigua de reg de Masjoan

RESUM Masjoan és una masia del segle XII on resideix la família Masferrer des del 1710. Actualment a Masjoan l’activitat principal és el cultiu i venta de plantes ornamentals, i l’explotació forestal per obtenir fusta. Pel que fa a l’aigua, tant per a la realització de l’activitat professional com per al subministrament de la casa, aquesta prové de mines d’aigua natural situades en la finca. L’objectiu d’aquest TFC ha estat dissenyar un sistema autònom per automatitzar el procés de derivació de l’aigua procedent d’una mina, i d’aquesta manera aprofitar millor els recursos naturals dels que és disposa. El desenvolupament d’aquest sistema, comprèn la selecció i configuració de sensors i actuadors, el disseny del circuit amb la realització de la placa, el disseny del sistema d’alimentació autònom, el software que controla el sistema, i dimensionar la resta d’elements de la instal•lació. Tot el sistema està controlat per un microcontrolador PIC16F876 i alimentat per un mòdul solar de 4W. En el disseny s’ha procurat, sobredimencionar les diferents etapes per possibles ampliacions o modificacions del sistema i que el circuit procures optimitzar el consum d’energia. Com a conclusions cal dir que s’han assolit els objectius proposats amb èxit. S’ha aconseguit un disseny funcional i estable que actualment es troba en funcionament.

Sellutehtaan varavoimajärjestelmän mitoitus ja teknistaloudellinen vertailu 400 ja 690 voltin jännitteillä

Tämän diplomityön tarkoitus on selvittää pienjakelujännitteen nostosta aiheutuvia vaikutuksia sellutehtaan varavoimaverkossa. Työn alussa esitellään varavoimaverkkoon kuuluvia osia, selvitetään erilaisten kuormien vaikutusta varavoimaverkon sähkön laatuun sekä kuormien jakoa varmennettuihin verkkoihin. Seuraavaksi suunnitellaan kaksi keskitettyä varavoimaverkkomallia eri pienjakelujännitteillä. Mallien nimellisjännitteet ovat 400 V ja 690 V. Varavoimaverkkomallien kuormat ja osastojen väliset etäisyydet on otettu valmiista sellutehtaista. Tässä diplomityössä painotutaan erityisesti varavoimaverkkomallien mitoitukseen ja jakelujännitteen nostosta aiheutuvien vaikutusten teknistaloudelliseen vertailuun. Vertailu tehdään keskijännitekojeiston ja varavoimakeskusten välisellä alueella, johon kuu-luvat jakelumuuntaja, varavoimakone, varavoimapääkeskus, kiskosillat, jakelukaapelit, kytkinvaroke- ja katkaisijalähdöt sekä mahdolliset välimuuntajat. Varavoimaverkkojen välisessä kustannusvertailussa käytetään nykyarvomenetelmää.

Kulmastabiilisuuden mallinnus

Työn tavoitteena oli kartoittaa vaihtoehtoisia menetelmiä perinteiselle aikatasossa tapahtuvalle kulmastabiilisuuden mallinnukselle käyttövarmuustarkastelussa. Vaihtoehtoisiin menetelmiin tutustuttiin kirjallisuuden avulla ja valittiin menetelmä testattavaksi pohjoismaisessa yhteiskäyttöjärjestelmässä. Vaihtoehtoisen menetelmän ominaisuusvaatimuksiin kuului nopeampi laskenta, luotettava stabiilien ja epästabiilien tilanteiden seulontakyky ja menetelmän antama indeksi stabiilisuus-/epästabiilisuusasteesta. Pääasiassa menetelmät, joihin tutustuttiin, arvioivat vain transienttia stabiilisuutta. SIME-menetelmä soveltui myös dynaamisen stabiilisuuden arviointiin. Suomessa voi dynaamisella stabiilisuudella olla tulevaisuudessa merkittävä rooli käyttövarmuustarkasteluissa. SIME-menetelmän toimivuutta testattiin osin yksinkertaistetulla Nordel-verkkomallilla, ja saadut tulokset olivat lupaavia. Menetelmä täytti uudelle menetelmälle asetetut vaatimukset, vaikka ongelmiakin esiintyi. Testauksessa käytetyn menetelmän edelleen kehittäminen ja menetelmän testaaminen täydellisellä verkkomallilla on suositeltavaa.

Modelling of North-West Russian market behavior considering technical restrictions of transmission grid

Nowadays the Finnish-Russian electric energy interaction is carried out through the back-to-back DC Vyborg substation and several power plants working synchronously with Finnish power system. Constant amount of energy flows in one direction — from Russia to Finland. But the process of electricity market development in Russian energy system makes the new possibilities of electrical cooperation available. The goal of master's thesis is to analyze the current state and possible evolution trends of North-West Russian system in relation with future possible change in power flow between Russia and Finland. The research is done by modelling the market of North-West Russia and examination of technical grid restrictions. The operational market models of North-West region of Russia for the years 2008 and 2015 were created during the research process. The description of prepared market models together with modelling results and their analysis are shown in the work. The description of power flow study process and results are also presented.

Automatic meter reading – benefits and applications

In liberalized electricity markets, which have taken place in many countries over the world, the electricity distribution companies operate in the competitive conditions. Therefore, accurate information about the customers’ energy consumption plays an essential role for the budget keeping of the distribution company and for correct planning and operation of the distribution network. This master’s thesis is focused on the description of the possible benefits for the electric utilities and residential customers from the automatic meter reading system usage. Major benefits of the AMR, illustrated in the thesis, are distribution network management, power quality monitoring, load modelling, and detection of the illegal usage of the electricity. By the example of the power system state estimation, it was illustrated that even the partial installation of the AMR in the customer side leads to more accurate data about the voltage and power levels in the whole network. The thesis also contains the description of the present situation of the AMR integration in Russia.

Electrical machine in a Hybrid Electrical Vehicle

Hybrid electric vehicles (HEV) have attracted very much attention during the latest years. Increasing environmental concern and an increase in fuel prices are key factors for the growing interest towards the HEV. In a hybrid electric vehicle the power train consists of both a mechanical power system and an electric power transmission system. The major subsystems in the mechanical power system are the internal combustion engine which powers the vehicle; electric power transmission including an energy storage, power electronic inverter, hybrid control system; the electric motor drive that runs either in the generating mode or in the motoring mode to process the power flow between the energy storage and the electrical machine. This research includes two advanced electric motors for a parallel hybrid: induction machine and permanent magnets synchronous machine. In the thesis an induction motor and a permanent magnet motor are compared as propulsion motors. Electric energy storages are also studied.

Prognosis of after spot volumes at the Scandinavian electricity market

The Thesis is dedicated to development of an operative tool to support decision making in after spot trading on the Nordic electricity market. The basics of the Nordic electricity market, trading mechanisms on the spot and after spot markets are presented in the Thesis. Mathematical equations that describe electricity balance condition in the power system are offered. The main driving factors that impact deviation of actual electricity balance from the scheduled one (object) in the power system have been explored and mathematically defined. The behavioral model of the object and principal trends in change of state of the object under an impact of the driving factors are determined with the help of regression analysis made in Microsoft Office Excel. The behavioral model gives an indication for the total regulation volume (Elbas trades volume, volume of regulation market, balance power) for a certain hour that serves as the base input in estimating prices on the after spot markets. Proposals for development of methodologies of forecasting the after spot electricity prices are offered.