Global ETD Search

1	Frequency Control : Optimal distribution of FCR-N in real-time Ekmarker, Linda January 2014 (has links) Frequency control systems are used to keep the grid frequency at the nominal value of 50.00 Hz. Vattenfall employ hydropower plants for this purpose as they can easily adapt their production to counteract frequency deviations. This master thesis focuses on trying to improve Vattenfall’s mechanism to provide FCR-N (Frequency Containment Reserve in Normal operation) for primary frequency control, i.e. the turbine governor. The efforts are made to operate the plants more efficiently, decreasing distribution losses and thus increasing the profits. The current control system was modelled in MATLAB’s simulation tool Simulink to understand its complexity and to be used as base for comparison. Then a new model was developed based on the idea to introduce a global governor for the frequency control in each plant which controls the input signal to the individual turbine governors of each unit. OPT-data (tabulated data indicating how to operate a plant at the highest possible efficiency) was used to determine how to optimally distribute the FCR-N among the active units in a plant in real-time. The conclusions which can be drawn from this master thesis are that it is possible to make a more optimal distribution of FCR-N in real-time. However, it has not been possible to make a good comparison between the two models and the results regarding the profits which can be made by introducing this new type of governor are therefore inconclusive. It is of crucial importance to make a better match of the regulating strengths of the two models in order to perform the comparison. Improving the parameter values for the proportional and integral gains of the individual controllers and the precision of the OPT-table lookups may further improve the new model and also make it possible to perform a valid comparison between the two models. Frequency control FCR-N Hydropower Optimisation Turbine governor
2	Frekvensstyrning med Kaplanturbin Strömstedt, Hemi January 2023 (has links) Det här examensarbetet inriktar sig på att med ett simuleringsprogram försöka utröna om det skulle gå att använda feedback control av löphju-let på en kaplanturbin för att reglera frekvensen ut på elnätet. Detta görs idag med hjälp av att öka eller minska magnetiseringen av generatorn. Det blir också en jämförelse för att se om det blir någon skillnad på resultatet mellan PID/PI. Resultatet mellan PID och PI är väldigt snar-lika och på frågan om det skulle gå att frekvens styra med löphjulet är svaret antagligen, det beror på hur mycket turbinens svängmassa på-verkar varvtalsändringen. Det skulle däremot ge ökat underhåll och större förslitning på lager och packningar. / This degree project focuses on using a simulation program to try to find out if it would be possible to use feedback control of the impeller on a Kaplan turbine to regulate the frequency on the power grid. This is done today by increasing or decreasing the magnetization of the genera-tor. There will also be a comparison to see if there is any difference in the result between PID/PI. The result between PID and PI is very close, and to the question of whether it would be possible to control the fre-quency with the impeller, the answer is probably, it depends on how much the turbine's swing mass affects the speed change. However, this would result in increased maintenance and greater wear and tear on bearings and seals. Frequency Containment Reserve FCR FCR-N PID PI Frequency Containment Reserve FCR FCR-N PID PI Annan elektroteknik och elektronik
3	Operation strategies of using energy storage for improving cost efficiency of wind farms. : Examining emergency power supply and support services. Lundquist, Philip January 2021 (has links) With the increase in the world energy demand and environmental incentives, renewable energy sources (RES) need to determine their place as some of the primary power sources in future power systems. However, due to uncertain energy production, renewable energy sources cause unbalance in the power system due to the unsynchronized supply and electricity demand. The intermittent power production causes undesired power fluctuation, affecting the power quality and reliability of the power source. Energy storage is one solution that is debated to increase the reliability of renewable energy production. This thesis aims to model and simulate hybrid energy storage system (HESS), constructed of hydrogen and ultracapacitor energy storage, to investigate different operation strategies for everyday use and crises. The two different energy storage technologies complement each other, where hydrogen fuel cells can produce power for long periods of time while the ultracapacitor can quickly maintain the balance of production and consumption of electricity for a short instance. The HESS showed promising results for emergency power supply and supported service operation strategies. In case of a power shortage, the HESS could cover for the disconnected production. The ultracapacitor proved to be a suitable component due to its ability to support the shortcomings of a hydrogen energy storage system. Moreover, the HESS could meet the requirements to deliver support services. However, further studies have to be done to investigate how the HESS can deliver multiple support services to increase profit and help maintain the power system's balance and security. Hydrogen energy storage Hybrid energy storage Support services FCR-N Emergency power supply Energy Systems Energisystem
4	Variations in the primary control availability : An investigation of market conditions’ influence on the FCR-N product Mann, Johan, Dahlin, Kasper January 2015 (has links) The systematic implementation of intermittent energy production sources has made the energy system more volatile and unpredictable than ever before. This development increases the importance of balancing services, in particular the primary control. However, the current research that has been conducted on the primary regulation products is limited. Specifically, the factors that drive the variation in availability and price of the primary control are unknown and the procurement is in some aspects based on perception rather than quantitative analysis. This study has investigated which these factors are and their relative significance on the availability and price of the primary control product called Frequency Containment Reserve for Normal Operation – FCR-N. The study was conducted according to methods with both qualitative and quantitative aspects to cover the complex nature of the problem from different views. The study was done in collaboration with Fortum POT at their office to gain insight and support from a market actor. Given the research questions, the result from this study is threefold. Firstly, the factors that affect the FCR-N availability have been identified and other factors have been categorised as insignificant. Secondly, the factors’ relative significances are stated to show their dependency with the FCR-N product. Lastly, an outlier case study showed how extreme situations changes the conditions for the FCR-N procurement. It has been concluded that the FCR-N price for normal operation on the Nordic electricity market can be generalised successfully through the identified parameters. It is also shown that deviations from normal operations have the possibility to create deviations in the FCR-N availability, indicating that these hours of extreme values need additional analysis in order to fully understand the available capacity. However, the significance of the researched parameters will be an indication in analysis of both the normal case and during deviations as these are the most important measures for the FCR-N availability and price. Primary control primary regulation electricity market FCR-N frequency control. Energy Engineering Energiteknik
5	Identification of AdvantagesConnected to Aggregation of SeveralBattery Energy Storage Systems Darle, Maria, Lindqvist, Saga January 2021 (has links) In this study, an examination regarding what benefits an aggregatedpopulation of Battery Energy Storage Systems (BESSs) could result incompared to when the individual units in the population are being usedseparately has been executed. The increased flexibility and reducedsafety margins as results of the aggregation was also examined. Thestudy was executed on behalf of the smart energy service companyCheckWatt AB and the study furthermore rests upon results of earlierperformed master theses on behalf of the company. By investigating previous work and studies through a literature study,the enabling of anumerical study was done. The numerical study wasbased on a simple model of a Virtual Power Plant (VPP) where severalBESSs are smartly controlled in order to be used for both local peakshaving and as common providers of the frequency reserve FrequencyContainment Reserve - Normal (FCR-N). The study involved the formation of a numerical model which simulated cases of both aggregated and non-aggregated populations of up to 45 load profile units, this in order for advantages and differences to be distinguished. The data used inthe simulations was received mainly from the CheckWatt AB andconsisted of photovoltaic (PV) electricity production and load data of 45 customers of the company. A sensibility analysis of the numericalstudy was also performed, which showed that the studied model andsystem were quite stable. The results of the simulations of the case of the study proved thatthere are some advantages connected to aggregation of several BESSs,and that the aggregation enabled an added value and a higher level offlexibility within the system. The safety margins connected todelivery of FCR-N could be reduced when aggregating several BESS,while a more extensive study is requested regarding safety marginsconnected to peak shaving. The study’s results further showed that anaggregator can be used as a sustainable and flexible solution forbalancing the electrical grid in the transition to a sustainableenergy system allowing a higher penetration of intermittentenergy sources. Virtual Power Plant Aggregator FCR-N Battery Energy Storage System BESS Peak Shaving Frequency Regulation Engineering and Technology Teknik och teknologier
6	Vindkraftens möjligheter på stödtjänstmarknaden : Teststudier för en befintlig vindkraftpark / The potential of wind power on the Swedish ancillary service markets : test studies of an existing wind farm Wästerby, Alva January 2021 (has links) I takt med att Sveriges elsystem byggs ut och allt större andel elenergi kommer från förnybar och väderberoende elproduktion såsom vind, så ökar även behovet av stödtjänster som kan balansera frekvensen i elsystemet. Frekvensen i elsystemet fungerar som en indikator på om elsystemet är i balans och för att elsystemet ska vara i balans krävs att elproduktionen hela tiden motsvarar elanvändningen. Examensarbetet har utrett möjligheterna att leverera stödtjänster från en redan befintlig vindkraftpark och har även undersökt hur möjligheterna ser ut i framtiden i och med att marknaderna för stödtjänster utvecklas. I dagsläget finns fem olika frekvensreglerande stödtjänster i Sverige. Dessa är Fast frequency Reserve (FFR), Frequency Containment Reserve-Normal (FCR-N), Frequency Containment Reserve-Disturbance (FCR-D), automatic Frequency Restoration Reserve (aFRR) och manual Frequency Restoration Reserve (FRR). Dessa stödtjänster upphandlas av Svenska kraftnät för att upprätthålla balans mellan produktion och konsumtion i elsystemet. För varje stödtjänst finns olika krav och specifikationer som bland annat vilken frekvens som de aktiveras vid, hur lång tid aktiveringen får ta samt hur långt i förväg de upphandlas etcetera. I kontakt med sakkunniga och i litteratur så framgår det att det är möjligt att leverera någon typ av frekvenstjänst från de allra flesta vindparker. För att börja leverera stödtjänster krävs att vindturbinen har en effektomriktare, vilket de flesta vindkraftverk har i dagsläget. Därefter handlar det främst om program och mjukvaruinställningar i effektomriktaren. Annars fungerar det i stort sett som vanlig pitch-reglering av turbinerna. Inom detta projekt så har även driftdata från en verklig vindpark i Blaiken studerats, där tre olika testkörningar genomförts. I testkörningarna har man testat att styra produktionen från turbinerna genom att göra nedregleringar och uppregleringar för att dokumentera hur parken reagerar. Utifrån data från testkörningarna som jämförs med krav för olika stödtjänster kan slutsatser dras om att stödtjänsterna mFRR, aFRR samt FCR-N bör kunna levereras från Blaiken. De är stödtjänsterna med de mest generösa aktiveringstiderna. Resultatet visar även på möjligheter att jobba med parkstyrningssystemet för att förbättra parkens reglerförmåga och i bästa fall skulle detta kunna medföra att parken även klarar kraven för aktiveringstid av FCR-D. stödtjänster elnätet vindkraft frekvensreglering FFR FCR-N FCR-D aFRR mFRR Annan elektroteknik och elektronik Energy Systems Energisystem
7	Machine Learning Algorithms for Energy Trading of Battery Energy Storage Systems : Reinforcement learning for trading energy on dual electricity markets Haratian, Arash January 2024 (has links) The battery energy storage system (BESS) holds the promise of becoming an essential element in our energy landscape. With the increasing need for renewable energy and electrification, a BESS serves as backup power, grid frequency balancing, and playing a crucial role in achieving 100% renewable electricity production by 2040 in Sweden. This thesis aims to study intelligent energy trading algorithms for BESS with two markets. The algorithms would allow BESS to trade simultaneously with two markets, day-ahead (energy) market and FCR-N.The problem of trading is solved using reinforcement learning (RL) particularly, multi-agent reinforcement learning (MARL), are proposed as potential solutions for learning energy trading strategies across multiple markets, addressing a gap in current research. In this study two main algorithms are used: Deep Q-networks (DQN), and Advantage Actor-Critic (A2C). These two algorithms are adapted to the MARL’s paradigms. This thesis answers three main questions. First, if any of the MARL variations of the two mentioned algorithms have any advantage over the others. The results suggest that the CTDE variation of A2C performs the best, followed by centralized variation of A2C. Second, the discrete action spaces and continuous action spaces are compared. The algorithms with continuous action spaces achieved higher revenues. The continuous action spaces let the agents decide the exact volumes of the energy to trade. This is while in the discrete action spaces the agents can only choose the volumes from a defined set of values. Third and last, the results from the experiments suggest that trading with two markets results in higher revenue than trading with one market. All the MARL algorithms have higher revenue compared to the simple hard-rule strategy designed for trading with two markets. This thesis shows that the RL and MARL algorithms can be used for creating profitable trading agents and for identifying successful trading strategies. Reinforcement Learning Multi-Agent Reinforcement Learning Machine Learning Artificial Intelligence AI Statistics trading algorithms Day-ahead FCR-N Battery Energy Storage System Computer and Information Sciences Data- och informationsvetenskap Probability Theory and Statistics Sannolikhetsteori och statistik Energy Systems Energisystem
8	Utvecklingen av marknadsvärdet för svenska frekvenshållningsreserver 2024–2030 : En prognos för utvecklingen av marknadsvärdet för frekvenshållningsreserverna FCR-N, FCR-D upp och FCR-D ned på den svenska balansmarknaden mellan 2024 och 2030 / The Development of the Market Value of Swedish Frequency Containment Reserves 2024–2030 : A forecast for the development of the market value for the frequency containment reserves FCR-N, FCR-D up and FCR-D down in the Swedish balancing market between 2024 and 2030 Ludvig, Aldén, Gustav, Espefält, Gabriel, Gabro January 2024 (has links) I takt med en ökad andel variabel förnybar elproduktion i Sveriges energimix blir elnätets flexibilitet allt viktigare för att upprätthålla en stabil elförsörjning. Detta arbete undersöker framtida prognoser för priser och volymer på de svenska frekvenshållningsreserverna FCR-N, FCR-D upp och FCR-D ned fram till år 2030. Prognoser för sådan utveckling är viktiga för elmarknadens aktörer och deras beslut att investera i flexibilitetsresurser. SARIMAX-modeller utvecklades baserade på historisk data och antaganden om framtida utvecklingar, vilka i sin tur grundades på en intervju med en branschexpert samt aktuella kartläggningar och rapporter. Resultaten visar på en markant nedåtgående pristrend. För FCR-N prognostiseras priserna sjunka med 367 % från 2024 till 2030, från 29 euro/MW till 5 euro/MW. FCR-D upp förväntas följa en liknande trend med ett prisfall på 325 %, från 20 euro/MW år 2024 till 4 euro/MW år 2030. Den kraftigaste prisnedgången prognostiseras för FCR-D ned, där priserna beräknas rasa med över 1900 % under samma period - från 61 euro/MW år 2024 till endast 3 euro/MW år 2030. Vad gäller volymer visar prognoserna på en relativt stabil utveckling kring upphandlingsplanerna, med en viss ökning för FCR-D ned på 44 % från 2024 till 2030. Den pågående etableringen av batterilager förutses ha stor påverkan genom att öka konkurrensen och pressa priserna nedåt. De låga prisnivåerna 2030 kan dock göra det utmanande att motivera investeringar enbart baserat på intäkter från FCR-marknader. Vidare diskuteras modellernas begränsningar samt behovet av framtida forskning kring batteriteknik, råvaruaspekter och avancerade simuleringsmodeller för att bättre förstå marknadsdynamiken. / As the share of variable renewable electricity production increases in Sweden's energy mix, the flexibility of the power grid becomes increasingly important to maintain a stable electricity supply. This study aims to forecast prices and volumes of the Swedish frequency containment reserves FCR-N, FCR-D up, and FCR-D down until 2030. Forecasts of such developments are important for electricity market participants and their decisions to invest in flexibility resources. SARIMAX models were developed based on historical data and assumptions about future developments, which in turn were based on an interview with an industry expert as well as current reports. The results indicate a significant downward price trend. For FCR-N, prices are forecasted to decrease by 367% from 2024 to 2030, dropping from 29 euros/MW to 5 euros/MW. FCR-D up is expected to follow a similar trend with a 325% price drop, from 20 euros/MW in 2024 to 4 euros/MW in 2030. The sharpest price decline is forecasted for FCR-D down, where prices are estimated to plummet by over 1900% during the same period - from 61 euros/MW in 2024 to only 3 euros/MW in 2030. Regarding volumes, the forecasts show a relatively stable development around the procurement plans, with a certain increase for FCR-D down by 44% from 2024 to 2030. The ongoing establishment of battery storage is expected to have a major impact by increasing competition and putting downward pressure on prices. However, the low price levels in 2030 may make it challenging to justify investments based solely on revenues from FCR markets. Furthermore, the limitations of the models are discussed, as well as the need for future research on battery technology, raw material aspects, and advanced simulation models to better understand market dynamics. FCR frequency containment reserves FCR-N FCR-D up FCR-D down upregulation downregulation variable renewable energy VRE power grid power system flexibility electricity supply stable forecast electricity market SARIMAX time series modeling data price volume market value energy storage battery storage battery park batteries competition time series flexibility resource flexibility service risk system effect future scenarios scenario balancing market volume development investment decisions scenario analysis uncertainty management sensitivity analysis competitive situation commodity prices technology development policy impact capacity expansion profitability calculations risk management FCR frekvenshållningsreserver FCR-N FCR-D upp FCR-D ned uppreglering nedreglering variabel förnybar energiproduktion VRE elnät kraftsystem flexibilitet elförsörjning stabil prognos elmarknad SARIMAX tidsseriemodellering data pris volym marknadsvärde energilagring batterilager batteripark batterier konkurrens tidsserie flexibilitetsresurs flexibilitetstjänst risk systemeffekt framtidsscenarier scenario balansmarknad volymutveckling investeringsbeslut scenarioanalys osäkerhetshantering känslighetsanalys konkurrenssituation råvarupriser teknologiutveckling policypåverkan kapacitetsutbyggnad lönsamhetsberäkningar riskhantering Energy Systems Energisystem

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