Reaaliaikaisen PMU-mittaustiedon hyödyntäminen voimajärjestelmän valvonnassa

Tämä työ on tehty Fingrid Oyj:lle. Työn tavoitteena oli tutkia, miten reaaliaikaista PMU-mittaustietoa voidaan hyödyntää voimajärjestelmän valvonnassa. Voimajärjestelmän dynaamisia ilmiöitä ovat jännite- ja kulmastabiilius. Työssä tutkittiin voimajärjestelmän kulmastabiiliutta PSS/E-ohjelmalla simuloitujen mittaustulosten perusteella. Fouriermuunnoksen tulokset osoittavat, että huonoiten vaimeneva taajuuskomponentti on 0,3 Hz taajuus. Lisäksi tiedetään, että huonosti vaimeneva taajuuskomponentti rajoittaa siirtokapasiteettia. Voimajärjestelmän stabiiliutta voidaan esittää Wide Area Monitoring -järjestelmien (WAMS) avulla. WAMS perustuu Phasor Measurement -laitteen (PMU) reaaliaikaiseen mittaustekniikkaan. Jännitteen vaihekulman mittaaminen mahdollistaa voimajärjestelmän tilan määrittämisen reaaliajassa. Työssä on esitelty Fingridin käytössä oleva WAMS ja lisäksi esitelty kolmen eri laitetoimittajan WAMS:n rakennetta ja operaattorin käyttöön tarkoitettuja käyttöliittymiä. WAMS:n rakenteet ovat pääpiirteittäin samanlaisia, mutta stabiiliuden visuaalisessa esittämisessä on eroja. PMU -mittaustietoja on mahdollista tuoda käytönvalvontajärjestelmään erillisellä tiedonsiirtoprotokollalla. PMU-mittaustiedon hyödyntäminen käytönvalvontajärjestelmän toimintaaluenäytöllä mahdollistaa verkon tilan esittämisen reaaliajassa. Roottorin kulmastabiilius esitetään Fingridin käytönvalvontajärjestelmässä vaihekulmaerojen avulla ja työssä on esitetty, kuinka vaihekulmaeron arvolla on vaikutus tehonsiirtoon. Vaihekulmaeron arvo kuvaa vian jälkeisen tehoheilahtelun voimakkuutta. PMU-mittaustiedon esittäminen antaa operaattorille selkeämmän kuvan ylläpitää tehonsiirto turvallisella tasolla ja epästabiilin heilahtelun havainnoiminen vähentää suurhäiriön riskiä. Tulevaisuudessa siirtoverkon kehittyessä tarvitaan operaattorin käyttöön myös nopeita stabiilisuutta esittäviä työkaluja.

Elintarviketehtaan tuotantolinjan kunnonvalvonnan kehittäminen

Tutkimuksen tavoitteena oli kunnonvalvontajärjestelmän kehittäminen nykyaikaiselle elintarviketeollisuuden tuotantolinjalle. Työssä etsittiin olemassa olevia kunnonvalvontamenetelmiä ja -sovelluksia erityisesti jäätelötuotantolaitteiden tarpeisiin. Kirjallisuudesta löydettiin sovelluksia lähinnä yksittäisille komponenteille ja kone-elimille. Tutkimuksen kohteena oleva tuotantolinja käytiin läpi toimintojen ja komponenttien osalta. Tehtaan laitekantaa ja valmiutta kunnonvalvonnan käyttöönotolle käsiteltiin yleisellä tasolla. Kunnonvalvontajärjestelmää kehitettäessä käytettiin hyväksi kirjallisuudesta löytyneitä menetelmiä, joista soveltuvimpia käytettiin kunnonvalvontametodien kartoittamiseen. Kunnonvalvontametodit muodostettiin toiminnanohjausjärjestelmästä ja linjan käyttöönotosta saatujen tietojen avulla. Tietoja käytettiin vika-vaikutusanalyysissä, joka oli pohjana komponentti- ja menetelmäkohtaisessa analyysissa. Kriittisiä ja tuotannon tehokkuuteen vaikuttavia koneenosia ja kokonaisuuksia tarkasteltiin kunnonvalvontamenetelmien soveltuvuuden avulla. Tutkimuksen edetessä kehitettiin kokonaisvaltaiset toiminnanohjausjärjestelmän avulla toimivat eritasoiset kunnonvalvontahypoteesit, joiden avulla linjan yksittäisten komponenttien kuntoa voidaan valvoa. Lisäksi tutkimuksessa kehitettiin uusia kunnonvalvontasovelluksia, joita on mahdollista käyttää myös tehtaan muilla linjoilla. Kunnonvalvontahypoteeseja käytettiin kokonaisen kunnonvalvontajärjestelmän luomiseen. Tehtaalla on mahdollisuus valita käyttöönotettavan kunnonvalvonnan taso hypoteesien sekä kunnossapitostrategian avulla.

Kansallisen energia- ja ilmastopolitiikan toteuttaminen puolustushallinnossa

Tässä diplomityössä selvitetään kansallisen energia- ja ilmastopolitiikan toteuttamiseen vaikuttavia tekijöitä puolustushallinnossa. Tavoitteena on tunnistaa, minkälaisia haasteita ja edellytyksiä toteuttamiseen liittyy ja minkälaisia toimenpiteitä ja päätöksiä politiikan toteuttaminen hallinnossa edellyttää. Tutkimuskysymyksiä lähestytään strategiakirjallisuuden, olemassa olevan tutkimustiedon sekä kvalitatiivisen haastattelututkimuksen kautta. Tutkimuksen tarkoitus on edesauttaa hallinnon oman energia- ja ilmastostrategian laadintaa sekä toimia johdon työkaluna toteuttamispäätösten tekemisessä. Merkittävimmiksi toteuttamiseen vaikuttaviksi tekijöiksi tunnistettiin resursointikysymykset, johdon sitoutuminen sekä puolustustoimialan erityispiirteet. Lisäksi vaikutuksia tunnistettiin olevan muun muassa kiinteistö- ja energiasopimusjärjestelyillä, asenteilla sekä puolustusvoimauudistuksella. Kirjallisuuskatsauksen teoreettisille käsitteille löydettiin pitkälti vastineet empiirisestä tutkimuksesta, mutta osa haasteista nousi esiin nimenomaan puolustushallinnon toimintaympäristöstä. Osa tuloksista on yleistettävissä laajemmin energia- ja ilmastotoimenpiteille, valtiosektorille ja muille toimialoille. Saatujen tulosten perusteella on mahdollista määrittää reunaehdot hallinnonalan oman energia- ja ilmasto-ohjelman laadinnalle sekä ennakoida toteuttamisedellytyksiä. Ohjelman toteuttamista tukevina jatkotoimenpide-ehdotuksina esitetään yhteistyöverkoston yhteistä julkista sitoutumista energia- ja ilmastopolitiikan edistämiseen, konkreettisten toimintaohjelmien laatimista sekä tietoisuuden kasvattamista toiminnan ilmastovaikutuksista ja ilmastonmuutoksen vaikutuksista toimintaan viestinnän ja seurantajärjestelmien keinoin sekä osana päätöksentekoprosesseja.

Collective Action in Commons: Its Diverse Ends and Consequences

Collective Action in Commons: Its Diverse Ends and Consequences explores new ways in which collective action theories can contribute to our understanding of natural resource management, especially the management of common-pools. Combining classical collective action theories and lessons from earlier empirical works, the study shows that cooperation among resource users is not only a possible solution to “the tragedy of the commons”, but it can be a part of the problem as well. That is, successful cooperation may increase the likelihood of resource depletion, for example, through more effective resource utilization or collusion against sanctioning and monitoring systems. The study also explores how analytic narratives can be used to tell the story behind problems of resource use and their solutions, including the diverse roles of cooperation.

Households’ willingness to engage in demand response in the Finnish retail electricity market: an empirical study

If electricity users adjusted their consumption patterns according to time-variable electricity prices or other signals about the state of the power system, generation and network assets could be used more efficiently, and matching intermittent renewable power generation with electricity demand would be facilitated. This kind of adjustment of electricity consumption, or demand response, may be based on consumers’ decisions to shift or reduce electricity use in response to time-variable electricity prices or on the remote control of consumers’ electric appliances. However, while demand response is suggested as a solution to many issues in power systems, actual experiences from demand response programs with residential customers are mainly limited to short pilots with a small number of voluntary participants, and information about what kinds of changes consumers are willing and able to make and what motivates these changes is scarce. This doctoral dissertation contributes to the knowledge about what kinds of factors impact on residential consumers’ willingness and ability to take part in demand response. Saving opportunities calculated with actual price data from the Finnish retail electricity market are compared with the occurred supplier switching to generate a first estimate about how large savings could trigger action also in the case of demand response. Residential consumers’ motives to participate in demand response are also studied by a web-based survey with 2103 responses. Further, experiences of households with electricity consumption monitoring systems are discussed to increase knowledge about consumers’ interest in getting more information on their electricity use and adjusting their behavior based on it. Impacts of information on willingness to participate in demand response programs are also approached by a survey for experts of their willingness to engage in demand response activities. Residential customers seem ready to allow remote control of electric appliances that does not require changes in their everyday routines. Based on residents’ own activity, the electricity consuming activities that are considered shiftable are very limited. In both cases, the savings in electricity costs required to allow remote control or to engage in demand response activities are relatively high. Nonmonetary incentives appeal to fewer households.

Recurrence Quantification Analysis of System Signals for Detecting Tool and Chatter in Turning

In this thesis, the applications of the recurrence quantification analysis in metal cutting operation in a lathe, with specific objective to detect tool wear and chatter, are presented.This study is based on the discovery that process dynamics in a lathe is low dimensional chaotic. It implies that the machine dynamics is controllable using principles of chaos theory. This understanding is to revolutionize the feature extraction methodologies used in condition monitoring systems as conventional linear methods or models are incapable of capturing the critical and strange behaviors associated with the metal cutting process.As sensor based approaches provide an automated and cost effective way to monitor and control, an efficient feature extraction methodology based on nonlinear time series analysis is much more demanding. The task here is more complex when the information has to be deduced solely from sensor signals since traditional methods do not address the issue of how to treat noise present in real-world processes and its non-stationarity. In an effort to get over these two issues to the maximum possible, this thesis adopts the recurrence quantification analysis methodology in the study since this feature extraction technique is found to be robust against noise and stationarity in the signals.The work consists of two different sets of experiments in a lathe; set-I and set-2. The experiment, set-I, study the influence of tool wear on the RQA variables whereas the set-2 is carried out to identify the sensitive RQA variables to machine tool chatter followed by its validation in actual cutting. To obtain the bounds of the spectrum of the significant RQA variable values, in set-i, a fresh tool and a worn tool are used for cutting. The first part of the set-2 experiments uses a stepped shaft in order to create chatter at a known location. And the second part uses a conical section having a uniform taper along the axis for creating chatter to onset at some distance from the smaller end by gradually increasing the depth of cut while keeping the spindle speed and feed rate constant.The study concludes by revealing the dependence of certain RQA variables; percent determinism, percent recurrence and entropy, to tool wear and chatter unambiguously. The performances of the results establish this methodology to be viable for detection of tool wear and chatter in metal cutting operation in a lathe. The key reason is that the dynamics of the system under study have been nonlinear and the recurrence quantification analysis can characterize them adequately.This work establishes that principles and practice of machining can be considerably benefited and advanced from using nonlinear dynamics and chaos theory.

Options for support to agriculture and food security under climate change

Agriculture and food security are key sectors for intervention under climate change. Agricultural production is highly vulnerable even to 2C (low-end) predictions for global mean temperatures in 2100, with major implications for rural poverty and for both rural and urban food security. Agriculture also presents untapped opportunities for mitigation, given the large land area under crops and rangeland, and the additional mitigation potential of aquaculture. This paper presents a summary of current knowledge on options to support farmers, particularly smallholder farmers, in achieving food security through agriculture under climate change. Actions towards adaptation fall into two broad overlapping areas: (1) accelerated adaptation to progressive climate change over decadal time scales, for example integrated packages of technology, agronomy and policy options for farmers and food systems, and (2) better management of agricultural risks associated with increasing climate variability and extreme events, for example improved climate information services and safety nets. Maximization of agriculture’s mitigation potential will require investments in technological innovation and agricultural intensification linked to increased efficiency of inputs, and creation of incentives and monitoring systems that are inclusive of smallholder farmers. Food systems faced with climate change need urgent, broad-based action in spite of uncertainties.

Estimativa da evapotranspiração espacial em uma região semiárida utilizando sensoriamento remoto

With the need to deploy management and monitoring systems of natural resources in areas susceptible to environmental degradation, as is the case of semiarid regions, several works have been developed in order to find effective models and technically and economically viable. Therefore, this study aimed to estimate the daily actual evapotranspiration (ETr) through the application of the Surface Energy Balance Algorithm for Land (SEBAL), from remote sensing products, in a semiarid region, Seridó of the Rio Grande do Norte, and do the validation of these estimates using ETr values obtained by the Penman-Monteith (standard method of the Food and Agriculture Organization-FAO). The SEBAL is based on energy balance method, which allows obtaining the vertical latent heat flux (LE) with orbital images and, consequently, of the evapotranspiration through the difference of flows, also vertical, of heat in the soil (G), sensitive heat (H) and radiation balance (Rn). The study area includes the surrounding areas of the Dourado reservoir, located in the Currais Novos/RN city. For the implementation of the algorithm were used five images TM/Landsat-5. The work was divided in three chapters in order to facilitate a better discussion of each part of the SEBAL processing, distributed as follows: first chapter addressing the spatio-temporal variability of the biophysical variables; second chapter dealing with spatio-temporal distribution of instant and daily radiation balance; and the third chapter discussing the heart of the work, the daily actual evapotranspiration estimation and the validation than to the study area

Aplicação integrada de métodos geofísicos em uma área de disposição de resíduos sólidos urbanos em Bauru-SP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Sistema de aquisição de dados para estudos de transiente de pressão e detecção de vazamentos em oleodutos

In February 2011, the National Agency of Petroleum, Natural Gas and Biofuels (ANP) has published a new Technical Rules for Handling Land Pipeline Petroleum and Natural Gas Derivatives (RTDT). Among other things, the RTDT made compulsory the use of monitoring systems and leak detection in all onshore pipelines in the country. This document provides a study on the method for detection of transient pressure. The study was conducted on a industrial duct 16" diameter and 9.8 km long. The pipeline is fully pressurized and carries a multiphase mixture of crude oil, water and natural gas. For the study, was built an infrastructure for data acquisition and validation of detection algorithms. The system was designed with SCADA architecture. Piezoresistive sensors were installed at the ends of the duct and Digital Signal Processors (DSPs) were used for sampling, storage and processing of data. The study was based on simulations of leaks through valves and search for patterns that characterize the occurrence of such phenomena

Termite pests in eucalyptus forests of brazil

The termite problem in eucalyptus forest plantations in Brazil has been registered since 1908. The main termite pests can be separated in four groups: a) seedling/sapling termites; b) heartwood termites; c) bark termites and d) wood termites. The termites in the first group attack root and stalk bases of young eucalyptus plants. The most common species are Syntermes spp. and Cornitermes spp. and they are a serious obstacle to early eucalyptus developing. The heartwood termites attack formed trees destroying eucalyptus heartwood. Coptotermes testaceus is the most cited species in reports, but more species probably occur. Plant mortality caused by seedling/sapling termites vary of 10-70 %. There are not effective control methods to heartwood termites. The main seedling/sapling termite control strategy is the chemical barrier around root systems of plants. Nowadays, studies are being carried out to determine monitoring systems to termite infestations. Early results indicate that proportionally, few areas really need insecticide application, due to spatial distribution of termites to be aggregated. Therefore, it is necessary to develope techniques rationalizing insecticide utilization in eucalyptus plantations, to keep production systems feasible and to be suitable for environmental exigencies.

SMEs in the environmental goods and services market: identifying areas of opportunity, policies and instruments: case studies: Argentina, Chile, Colombia and Mexico

Includes bibliography

A PZT-based technique for SHM using the coherence function

This paper presents a new approach for damage detection in structural health monitoring systems exploiting the coherence function between the signals from PZT (Lead Zirconate Titanate) transducers bonded to a host structure. The physical configuration of this new approach is similar to the configuration used in Lamb wave based methods, but the analysis and operation are different. A PZT excited by a signal with a wide frequency range acts as an actuator and others PZTs are used as sensors to receive the signal. The coherences between the signals from the PZT sensors are obtained and the standard deviation for each coherence function is computed. It is demonstrated through experimental results that the standard deviation of the coherence between the signals from the PZTs in healthy and damaged conditions is a very sensitive metric index to detect damage. Tests were carried out on an aluminum plate and the results show that the proposed methodology could be an excellent approach for structural health monitoring (SHM) applications.

The privatization of public water utilities

Includes bibliography

Estimação do diâmetro e rugosidade em um processo de furação utilizando multi sensores e redes neurais artificiais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)