This report addresses the parameter settings for a protective relay designed to safeguard a 15 kW wind turbine located in Rimbo, Norrtälje municipality, against unintentional islanding. This type of situation arises when distributed energy resources continue to supply local loads, even if the main grid has been unintentionally disconnected. The previous protection system experienced malfunctions and has been replaced with a new protective relay to ensure reliable protection. The new protective relay introduces two parameters (relay settings) associated with unintentional islanding protection function, namely RoCoF (rate of change of frequency) hysteresis, and delay, which were not defined in the previous protective relay. This report aims to determine suitable relay settings and verify that the relay operates as intended, taking into account both local and national requirements for connected generators. When these requirements did not specify or recommend a specific value, reference was made to practices in neighbouring countries, and consideration was given to the generator owner's benefit. Testing the relay with the chosen settings was crucial to ensure a correct understanding and accurate input of the settings. The testing was conducted in a laboratory environment with carefully defined signals of controlled frequency and voltage, while the relay's trip output was logged. The report includes information about the current settings along with a theoretical background to explain their functionality. It also presents test results and the provided information on parameter configurations. Additionally, recommended settings for RoCoF hysteresis and implementation delay are suggested, aiming to enhance protection against inadvertent operation. The results confirmed that the relay can be used in Rimbo, Norrtälje municipality, according to the parameters described in the report. / Denna rapport behandlar parameterinställningar för ett skyddsrelä som skyddar en 15 kW vindkraftsturbin i Rimbo, Norrtälje kommun, mot oavsiktlig ödrift. Denna typ av situation uppstår när distribuerade energiresurser försätter att mata lokala laster, även om stamnätet har kopplats bort oavsiktlig. Det tidigare skyddssystemet har blivit skadat och ersatt med ett nytt skyddsrelä för att säkerställa ett tillförlitligt skydd. Det nya skyddsreläet introducerar två parametrar (reläinställningar) relaterade till skyddsfunktionen mot oavsiktlig ödrift, nämligen RoCoF (frekvensderivata intervall) hysteres och fördröjning, som inte var definierade i det tidigare skyddsrelät. Denna rapport syftar till att fastställa lämpliga reläinställningar och verifiera att reläet fungerar enligt avsikt, med hänsyn till både lokala och nationella krav för anslutna generatorer. När dessa krav inte specificerade eller rekommenderade ett specifikt värde, refererades det till praxis i närliggande länder och hänsyn togs till generatorägarens fördel. Testning av reläet med de valda inställningarna var av central betydelse för att säkerställa en korrekt förståelse och korrekt inmatning av inställningarna. Testningen utfördes i en laborationsmiljö med noggrant definierade signaler av kontrollerad frekvens och spänning, samtidigt som reläets utlösningsutgång loggades.  Rapporten inkluderar information om de aktuella inställningarna tillsammans med en teoretisk bakgrund för att förklara deras funktion. Den presenterar också resultat från tester och den tillhandahållna informationen om parameterinställningar. Dessutom rekommenderas inställningar för RoCoF-hysteres och fördröjning för implementering, med målet att förbättra skyddet mot oavsiktlig ödrift. Resultaten konstaterade att reläet kan användas i Rimbo, Norrtälje kommun enligt de parametrar som beskrivs i rapporten.

No description available.

No description available.

The Swedish electricity system is transitioning due to the establishment of climate policy goals and trends related to technology and demographics. The transition has resulted in an increased demand for electricity. The increased demand for electricity in combination with lack of forecasts, planning and coordination between actors in the electricity sector has led to the occurrence of grid congestion. Extending the network is time-consuming and requires substantial investments. Instead, an alternative is to utilise the available grid capacity more efficiently by implementing flexibility solutions. Flexibility can be achieved by implementing incentives such as grid tariffs. This solution has recently gained much attention in Sweden, but it is not apparent how grid tariffs should be designed. The purpose of this thesis is to investigate how distribution grid tariffs could be designed to incentivise different actors to contribute to flexibility in a way that results in an efficient use of the electrical grid. A qualitative study was performed, collecting empirical data through semistructured interviews with actors in the Swedish electricity market. The aim is that the results from this thesis will act as a basis for DSOs planning to design grid tariffs with the purpose to utilise the grid more efficiently. The findings present a ToU capacity charge with off-peak periods that are free of charge as the preferable main price signal in the tariff to achieve efficient utilisation of the grid. It is further argued that other structural elements can complement the ToU capacity charge. A small fixed charge could be added in order to contribute to the cost reflectiveness of the grid tariff. A small energy charge could be incorporated in order to provide consumer with incentives to be flexible below the current metered maximum power and strengthen the signal from the ToU capacity charge. A small energy charge can avert difficulties related to providing incentives below the current metered maximum, as it still can provide some incentives to be flexible, or strengthen the signal from the ToU capacity charge. Further, the energy charge can ensure sustainability if customers respond well to a ToU capacity charge and to compensate solar PV customers. Furthermore, recommendations to further enable the grid tariffs potential to provide price signals include shifting the focus of the revenue cap from CapEx to OpEx and exploring the hampering signals of the energy tax as well as contradicting price signals from the wholesale electricity price. / Det svenska elsystemet genomgår en förändring till följd av införandet av klimatmål och trender relaterade till teknik och demografi. Denna förändring har resulterat i ett ökat effektbehov. Ett ökat effektbehov i kombination med bristande prognostisering, planering och samordning mellan aktörer inom elsektorn har lett till uppkomsten av kapacitetsbrist. Att bygga ut elnätet är tar tid och kräver större investeringar. Ett alternativ är att istället utnyttja det befintliga elnätet mer effektivt genom att implementera flexibilitetslösningar. Flexibilitet kan uppnås genom att införa incitament i form av elnätstariffer. Denna lösning har nyligen fått mycket uppmärksamhet i Sverige, men det är inte klart inte hur dessa elnätstariffer ska utformas. Syftet med detta arbete är att undersöka hur distributionsnätets tariffer kan utformas för att stimulera olika aktörer att bidra med flexibilitet på ett sätt som resulterar i en effektiv användning av det befintliga elnätet. En kvalitativ studie genomfördes där empiriska data samlades in genom semistrukturerade intervjuer med aktörer på den svenska elmarknaden. Syftet är att resultaten från detta arbete ska fungera som ett underlag för nätägare som planerar att utforma elnätstariffer med syftet att utnyttja nätet mer effektivt. Resultaten visar att en ToU-effektavgift med gratis off-peak perioder bör vara den huvudsakliga prissignalen i en elnätstariff som ämnar att utnyttja det befintliga nätet mer effektivt. Det visar även att andra strukturella element kan komplettera ToU-effektavgiften. En mindre fast avgift kan adderas i syfte att göra elnätstariffen mer kostnadsriktig. En mindre energiavgift kan införas för att ge kunder incitament att vara flexibla även under den nuvarande uppmätta maximala effekten och stärka signalen från ToU-effektavgiften. Vidare kan energiavgiften säkerställa tillräckliga intäkter för nätägaren om kunderna svarar bra på en ToU-effektavgift och för att kompensera kunder med solceller. Ytterligare rekommendationer för att möjliggöra prissignaler genom elnätstariffer inkluderar att skifta fokus på intäktsramen från CapEx till OpEx och utforska de hämmande prissignalerna från energiskatten och de motstridiga prissignalerna från elhandelspriset.

The traditional electricity market, holding centralized authority over consumers, is no longer adequate seeing a shift towards a more electrified, decentralized, and digitalized society. Increased energy prices, raising concerns about climate change, and tightening governmental regulations have resulted in that an extensive diffusion of renewable energy sources has evolved. This development is expected to change the structure of the sector, despite that an appropriate market design that can deal with these remains to be identified. The purpose of this study was to investigate how a business model of a digital platform, managing energy trading within a local community could be designed. This study contributes to a new dimension of energy transitions within a Multi-Level Perspective by studying a particular field of the transition in terms of flexibility market platforms. The rising need for flexible solutions, making the consumer a prosumer, and enabling shared energy through a digital platform involves uncertainty and challenges, where a suitable business model linking new technology to the emerging market needs to be defined. Despite the novelty of the research field of local energy markets, the aim of investigating business model designs for a local energy market platform has been reached through an exploratory case study and integration of theories from several fields. This study makes an analytical contribution of investigating five pioneering projects, all developing digital platforms enabling integration of flexibility into the electricity market. This further contributes to the design-implementation gap of theories when developing a local energy market, by suggesting the most vital parameters to take into account. Based on the findings, a suggestion on a suitable business model design and a corresponding market design was developed. The main objective of the proposed market design is to serve as a basis to bring forward flexibility available from prosumers and their controllable demand and supply arrangement, including renewable energy technology generation and storage devices. The intention is to maintain a balanced and transparent distribution network at the lowest possible costs, while, at the same time functioning as reserve storage towards the main grid, reducing the risk of capacity shortage. Additional insights were raised that can be helpful in the evaluation of utilizing flexibility energy assets before making grid investments, following the recently presented recommendation of the EU's Clean Energy package. / Den traditionella elmarknaden, karaktäriserad av en centraliserad styrning, är inte längre hållbar då utvecklingen av marknaden går mot ett allt mer elektrifierat, decentraliserat och digitaliserat samhälle. Ökande energipriser, växande oro för klimatfrågor tillsammans med en allt snävare reglering av energimarknaden har resulterat i en omfattande ökning av förnybara energikällor. Denna utveckling förväntas förändra sektorns struktur, där en lämplig marknadsdesign som kan hantera detta återstår att identifiera. Syftet med denna studie var att undersöka hur en affärsmodell för en digital plattform, anpassad för att hantera lokal energidelning, kan utformas. Denna studie bidrar till en ny dimension av energitransformationen från ett multi-nivå-perspektiv genom att studera ett särskilt område av övergången i form av flexibla marknadsplattformar. Det ökande behovet av flexibla lösningar, där konsumenter blir prosumenter och energi delas lokalt via digitala plattform innebär osäkerheter och utmaningar. En lämplig affärsmodell som kan anknyta de nya tekniska lösningarna som krävs till lokala energimarknader bör därav definieras. Trots att forskningsområdet som berör lokala energimarknader kan anses relativt nytt och delvis outforskat, har målet att undersöka affärsmodellkoncept för en lokal energimarknadsplattform uppnåtts genom en fallstudie och iterationer av teorier inom flertalet områden. Denna studie bidrar med en analytisk undersökning av fem innovativa projekt som alla utvecklar digitala plattformar för att möjliggöra integrering av flexibilitet till elmarknaden. Detta bidrar även till det kunskapsgap som har identifierats mellan design och implementering fas vid utvecklandet av lokala energimarknader, genom föreslagna parameter som anses grundläggande och som bör tas hänsyn till. Baserat på resultatet presenterades ett förslag på en lämplig design för affärsmodell samt en tillhörande marknadsdesign. Huvudsyftet med den föreslagna marknadsdesignen är att utgöra en grund för gynnandet av en mer flexibel elektricitet hantering. Detta möjliggörs genom introduktionen av prosumenter till marknaden, där allt mer elektricitet produceras från förnybara källor och där konsumtion samt produktion regleras med hjälp av integrerade lagringsenheter. Målet är att upprätthålla ett balanserat och transparent distributionsnät till lägsta möjliga kostnad, medan marknaden även fungerar som ett reservlager mot kraftnätet, vilket minskar risken för kapacitetsbrist runt om i Sverige. Ytterligare insikter från denna studie påvisar hur de befintliga energitillgångarna kan utnyttjas på ett mer flexibelt och effektivt sätt, vilka stöds av de nyligen presenterade rekommendationerna från EU:s Clean Energy-paket.

Mycorrhizal Networks (MNs) facilitate the exchange of resources including energy, water, nutrients, and information between trees and plants in forest ecosystems. This work explored MNs as an inspiration for new market models in transactive energy networks, which similarly involve exchanges of energy and information between buildings in local communities. Specific insights from the literature on the structure and function of MNs were translated into an energy model with the aim of addressing challenges associated with the proliferation of distributed energy resources (DERs) at the grid edge and the incorporation of DER aggregations into wholesale energy markets. First, a systematic review of bio-inspired computing interventions applied to microgrids and their interactions with modern energy markets established a technical knowledge base within the context of distributed electrical systems. Second, a bio-inspired design process built on this knowledge base to yield a structural and functional blueprint for a computational mycorrhizal energy market simulation. Lastly, that computational model was implemented and simulated on a blockchain-compatible, multi-agent software platform to determine the effect that mycorrhizal strategies have on transactive energy market performance. The structural translation of a mapped ectomycorrhizal network of Douglas-firs in Oregon, USA called the 'wood-wide web' created an effective framework for the organization of a novel mycorrhizal energy market model that enabled participating buildings to redistribute percentages of their energy assets on different competing exchanges throughout a series of week-long simulations. No significant changes in functional performance –- as determined by economic, technical, and ecological metrics – were observed when the mycorrhizal results were compared to those of a baseline transactive energy community without periodic energy asset redistribution. Still, the model itself is determined to be a useful tool for further exploration of innovative, automated strategies for DER integration into modern energy market structures and electrical infrastructure in the age of Web3, especially as new science emerges to better explain trigger and feedback mechanisms for carbon exchange through MNs and how mycorrhizae adapt to changes in the environment. This dissertation concludes with a brief discussion of policy implications and an analysis applying the ecological principles of robustness, biodiversity, and altruism to the collective energy future of the human species. / Doctor of Philosophy / Beneath the forest floor, a network of fungi connects trees and plants and allows them to exchange energy and other resources. This dissertation compares this mycorrhizal network (mycorrhiza = fungus + root) to a group of solar-powered buildings generating energy and exchanging it in a local community marketplace (transactive energy markets). In the analogy, the buildings become the plants, the solar panels become the leaves, and the electrical grid represents the mycorrhizal network. Trees and plants produce their own energy through photosynthesis and then send large portions of it down to the roots, where they can trade it or send it to neighbors via the mycorrhizal network. Similarly, transactive energy markets are designed to allow buildings to sell the energy they produce on-site to neighbors, usually at better rates. This helps address a major infrastructure challenge that is arising with more people adding roof-top solar to their homes. The grid that powers our buildings is old now and it was designed to send power from a central power plant out to its edges where most homes and businesses are located. When too many homes produce solar power at the same time, there is nowhere for it to go, and it can easily overload the grid leading to fires, equipment failures, and power outages. Mycorrhizal networks solve this problem in part through local energy balancing driven by cooperative feedback patterns that have evolved over millennia to sustain forest ecosystems. This work applies scientific findings on the structure and function of mycorrhizal networks (MNs) to energy simulation methods in order to better understand the potential for building bio-inspired energy infrastructure in local communities. Specifically, the mapped structure of a MN of douglas-fir trees in Oregon, USA was adapted into a digital transactive energy market (TEM) model. This adaptation process revealed that a single building can connect to many TEMs simultaneously and that the number of connections can change over time just as symbiotic connections between organisms grow, decay, and adapt to a changing environment. The behavior of MNs in terms of when those connections are added and subtracted informed the functionality of the TEM model, which adds connections when community energy levels are high and subtracts connections when energy levels are low. The resulting 'mycorrhizal' model of the TEM was able to change how much energy each connected household traded on it by changing the number of connections (more connections mean more energy and vice versa). Though the functional performance of the mycorrhizal TEM did not change significantly from that of a typical TEM when they were the context of decentralized computer networks (blockchains) and distributed artificial intelligence. A concluding discussion addresses ways in which elements of this new model could transform energy distribution in communities and improve the resilience of local energy systems in the face of a changing climate.

Recently, due to the increasing adoption of distributed energy resource (DER) technologies including battery energy storage (BES) and electric vehicle (EV) systems, bidirectional power converters are becoming more popular. These converters are broadly utilized as interface devices and provide a bidirectional power flow in applications where the primary power supply can both supply and receive energy. A dc capacitor, called the dc-link, is an important component of such bidirectional converters. For a wide range of applications, the converter is required to control the dc-link voltage. Commonly, a proportional-integrating (PI) controller is used by the dc capacitor voltage controller to generate a set-point for the inner current controller. This approach tightly regulates the dc-link voltage to a given value. The research presented in this dissertation shows that such an approach compromises the stability margins of the converter for reverse power flow and weak grid conditions. It is shown that by allowing a small variation of dc capacitor voltage in proportion to the amount of power flowing through the converter, the stability and robustness margins are improved. This approach also simplifies the design process and can be applied to both dc/dc and dc/ac (single-phase and three-phase) converters. Moreover, it grants an inherent power sharing capability when multiple converters share the same dc-link terminals; removing the need to a communication link between parallel converters. The proposed controller is equipped with a current limiting mechanism to protect the converter during low-voltage/over-current transients. Detailed analyses, simulations, comparisons, and experimental results are included to illustrate the effectiveness of the proposed control approach. To mathematically establish the properties of the proposed method in a single-phase dc/ac application, this dissertation also derives a new and systematic modeling approach for a grid-connected bidirectional single-phase inverter controlled in stationary frame. Implementing the control system in the stationary frame has advantages over rotating frame. However, the combination of dc and ac state variables and nonlinearities make its stability analysis challenging. In the proposed model, an imaginary subsystem is properly generated and augmented to allow a full transformation to a synchronous rotating frame. The proposed modeling strategy is modular and has a closed form which facilitates further extensions. It is successfully used to demonstrate enhanced stability margins of the proposed controller.

[pt] Nos últimos anos tem se verificado um papel mais ativo do pequeno consumidor com relação ao uso da energia elétrica. O acesso mais facilitado às tecnologias de geração distribuída, principalmente produção local fotovoltaica em telhados de residências e também às novas gerações de medidores inteligentes, despertou o interesse de pequenos consumidores para gerar sua própria energia, reduzindo sua fatura com a distribuidora e também sua dependência da rede de distribuição. Nesse contexto, o objetivo da dissertação é avaliar, com base em medições inteligentes reais, o impacto nas faturas de consumidores residenciais causado pela introdução de uma Tarifa de Uso do Sistema de Distribuição, em reais/quilowatt, aplicada sobre a demanda máxima registrada. A opção pelo tema buscou atender lacunas na bibliografia nacional por tratar-se de um assunto inovador, não só no Brasil, e que está sendo estudado em diversos países no mundo simultaneamente. A metodologia pode ser dividida, basicamente, em quatro fases: (i) Apuração da receita de referência; (ii) Cálculo das tarifas de distribuição nas modalidades horária e em reais/quilowatt; (iii) Cálculo e avaliação das receitas obtidas pela aplicação das tarifas às medições dos clusters de estudo; e (iv) Cálculo e avaliação das receitas obtidas pela aplicação das tarifas às medições dos clusters de estudo, considerando geração fotovoltaica distribuída. Os resultados permitiram identificar os perfis de consumo que seriam mais impactados pela introdução de uma tarifação sobre a demanda e também os efeitos resultantes da instalação de painéis solares nas residências, assim demonstrar que essa modalidade de tarifação, ao refletir os custos da atividade de distribuição de energia, propicia estabilidade das tarifas e evita subsídios cruzados. / [en] In recent years there has been a more active role of small consumers in relation to the use of electricity. The easier access to distributed generation technologies, mainly local photovoltaic production in residential roofs and also the new generations of intelligent meters, has brought the interest of small consumers to generate their own energy, reducing their invoice with the distributor and also their dependence on the distribution network. In this context, the objective of this dissertation is to evaluate, based on real smart measurements, the impact on the invoices of residential customers caused by the introduction of a demand charge, in real/kilowatt, applied on the registered maximum demand. The option for the theme sought to address gaps in the national bibliography because it is an innovative subject, not only in Brazil, and which is being studied in several countries simultaneously. The methodology can be divided into basically four phases: (i) Calculation of the reference revenue; (ii) Calculation of distribution tariffs: hourly and based in real/kilowatt; (iii) Calculation and evaluation of the revenues obtained by applying the tariffs to the measurements from the clusters to be studied; and (iv) Calculation and evaluation of the revenues obtained by applying the tariffs to the measurements from the clusters to be studied, considering distributed photovoltaic generation. The results allowed to identify the consumption profiles, whether they would be more impacted by the introduction of a demand charge and the impacts caused by the installation of solar panels by the residences as well as demonstrating that this type of charge, reflecting the costs of distribution, provides tariff stability and avoids cross subsidies.

Les réseaux électriques actuels connaîtront un profond changement dans les années à venir. La nouvelle génération est le Smart Grid (SG) ou le réseau électrique intelligent qui se caractérise par une couche d'information et de communication qui permet aux différents composants du réseau de communiquer. Il doit considérer tous les aspects du réseau électrique, le rendant plus intelligent et flexible. Cette notion est présentée comme une réponse à l'évolution du marché de l'électricité, visant à gérer l’augmentation de la demande tout en assurant une meilleure qualité de service et plus de sécurité.Premièrement, nous présentons une formulation de programmation linéaire mixte en entier pour optimiser les systèmes de production et de consommation d'énergie dans une maison intelligente avec un déploiement efficace de plusieurs ressources énergétiques distribuées. Ensuite, à travers la conception d'expériences avec la méthode de Taguchi, divers scénarios sont introduits en faisant varier des facteurs significatifs. Par la suite, une technique heuristique est proposée pour résoudre le problème de la gestion de l'énergie résidentielle en trouvant la solution optimale globale pendant plusieurs jours consécutifs avec une réduction significative du temps d'exécution.Deuxièmement, un modèle de gestion de l'énergie est assuré grâce à des modèles mathématiques pour optimiser l’utilisation du réseau, des ressources énergétiques renouvelables, des véhicules électriques et de la batterie, ainsi que pour différents types d'appareils thermiques et électriques. Une méthode de solution exacte est mise en œuvre pour réduire le coût de l'électricité dans une maison intelligente et pour trouver des modes de fonctionnement de différentes charges. Ensuite, un algorithme d'optimisation math-heuristique est proposé pour résoudre le problème avec un temps de simulation étendu.Enfin, nous étudions le problème de gestion de l'énergie dans un microréseau constitué de plusieurs maisons intelligentes. Chacune d'elles dépose de ressources énergétiques renouvelables, d’un véhicule électrique et d’appareils intelligents. Les ressources d'énergie renouvelable injectent l’excès de l'énergie dans un système de stockage d'énergie partagé. Un modèle mathématique linéaire mixte en entier pour la gestion d'énergie est proposé pour réduire le coût total de fonctionnement du microréseau. Des comparaisons avec des scénarios conventionnels où chaque maison intelligente possède son propre système de stockage d'énergie sont effectuées pour démontrer l’efficacité de la démarche proposée. / The current electricity grids will experience a profound change in the coming years. The new generation is the Smart Grid (SG) which is characterized by information and communication layer enabling the communication between the different components of the grid. It needs to consider all sides of power grid, making it more intelligent and flexible. This notion is presented as an answer to changes in the electricity market, aiming to manage the increased demand while ensuring a better quality of service and more safety.First, we present a mixed integer linear programming formulation to optimize the energy production and consumption systems in a smart home with an effective deployment of several distributed energy resources. Then through the design of experiments with the Taguchi method, diverse scenarios are introduced by varying significant factors. Afterward, a heuristic technique is proposed to solve the problem of residential energy management by finding the global optimum solution for many consecutive days with significant reduction of execution time.Second, an energy management model is proposed thanks to mathematical models to optimize the grid, renewable energy resources, battery and electric vehicles are presented as well as for different type of thermal and electrical appliances. An exact solution method is implemented to reduce the electricity cost in a smart home and find out operation modes of different loads. Then a math-heuristic optimization algorithm is proposed to solve the problem with extended simulation time horizon.Finally, we study a microgrid energy management problem which comprises multiple smart homes. Each of them owns renewable energy resources, one electric vehicle and smart appliances. The renewable energy resources inject the excess energy in the shared energy storage system. An optimized energy management model using mixed integer linear programming is proposed to reduce the total electricity cost in the microgrid. Comparisons with conventional scenarios where each smart home has its individual small energy storage system without sharing energy with their neighbors are done to ensure that the proposed formulation is well efficient.

The European policy focus on smart grids implies their development as an indispensable part of the future power system. However, the definition of a smart grid is broad and vague, and the actual implementation of a smart grid can differ significantly, depending on the stakeholders involved.This work aims to inform policy makers, the electricity industry and researchers about stakeholder interests and the technical complexities involved by presenting smart grids via a techno-institutional framework. This framework takes account of the technical nature of the electricity transport and supply service as well as the institutional nature of electricity markets, stakeholder perspectives and sector regulation. In addition, this work presents potential revenues resulting from flexibility management in smart grids and proposes a way forward for smart grids and flexibility management in Europe. / <p>QC 20170925</p>