Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Distributed energy resources in an electricity retailer’s short-term profit optimization

Liberalization of electricity markets has resulted in a competed Nordic electricity market, in which electricity retailers play a key role as electricity suppliers, market intermediaries, and service providers. Although these roles may remain unchanged in the near future, the retailers’ operation may change fundamentally as a result of the emerging smart grid environment. Especially the increasing amount of distributed energy resources (DER), and improving opportunities for their control, are reshaping the operating environment of the retailers. This requires that the retailers’ operation models are developed to match the operating environment, in which the active use of DER plays a major role. Electricity retailers have a clientele, and they operate actively in the electricity markets, which makes them a natural market party to offer new services for end-users aiming at an efficient and market-based use of DER. From the retailer’s point of view, the active use of DER can provide means to adapt the operation to meet the challenges posed by the smart grid environment, and to pursue the ultimate objective of the retailer, which is to maximize the profit of operation. This doctoral dissertation introduces a methodology for the comprehensive use of DER in an electricity retailer’s short-term profit optimization that covers operation in a variety of marketplaces including day-ahead, intra-day, and reserve markets. The analysis results provide data of the key profit-making opportunities and the risks associated with different types of DER use. Therefore, the methodology may serve as an efficient tool for an experienced operator in the planning of the optimal market-based DER use. The key contributions of this doctoral dissertation lie in the analysis and development of the model that allows the retailer to benefit from profit-making opportunities brought by the use of DER in different marketplaces, but also to manage the major risks involved in the active use of DER. In addition, the dissertation introduces an analysis of the economic potential of DER control actions in different marketplaces including the day-ahead Elspot market, balancing power market, and the hourly market of Frequency Containment Reserve for Disturbances (FCR-D).

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.

The obstacles for cross-border transmission network investments in the Nordic electricity market: Case South-West link

The Nordic electricity market is often seen as an example of how to create a working, developed and integrated electricity market. Nevertheless, this thesis studies the obstacles of transmission network investments and the market integration challenges in the Nordic electricity market. The main focus is in the Nordic Transmission system operators (TSOs), which have a key role in grid development. This study introduces a case study of cancellation of South-West link, Western part, which was seen as essential grid investment in order to improve the Nordic electricity market functioning but ended up with cancellation in 2013. This study includes semi-structured theme interviews of the experts among Nordic electricity industry stakeholders. Despite the political will to create more equal prices for electricity in the Nordic market, the differing national regulation, mixed incentives created by bottleneck income and the focus moving from Nordic integration to European integration may create challenges to the Nordic electricity market integration in the future.

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.

Optimization of a dynamic district heating power plant

The purpose of this Thesis is to find the most optimal heat recovery solution for Wärtsilä’s dynamic district heating power plant considering Germany energy markets as in Germany government pays subsidies for CHP plants in order to increase its share of domestic power production to 25 % by 2020. Different heat recovery connections have been simulated dozens to be able to determine the most efficient heat recovery connections. The purpose is also to study feasibility of different heat recovery connections in the dynamic district heating power plant in the Germany markets thus taking into consideration the day ahead electricity prices, district heating network temperatures and CHP subsidies accordingly. The auxiliary cooling, dynamical operation and cost efficiency of the power plant is also investigated.

Utilisation of Short Term Electricity Derivatives in Industrial Energy Management

Työn päätavoite on selvittää kuinka erityisesti sähkön markkinahinnan ennustamiseen ja johdannaismarkkinoiden tietämykseen perustuva lyhyen tähtäimen sähköjohdannaisten hyödyntäminen tapahtuu teollisessa energianhallinnassa. Tätä aihetta lähestytään luomalla prosessi lyhyen tähtäimen sähköjohdannaisten hyödyntämiselle. Prosessi esitellään ja selvitetään aina lähtökohdista todelliseen kaupankäyntiin asti erillisen esimerkkitehtaan avulla.Lyhyen tähtäimen sähköjohdannaisten hyödyntäminen teollisessa energianhallinnassa perustuu pääosin tulevaisuuden odotuksiin sähkön markkinahinnan kehittymisestä sekä tehtaiden operatiiviseen tilanteeseen. Operatiiviseen tilanteeseen perustuva lyhyen tähtäimen sähköjohdannaisten kaupankäynti on pääasiassa pitkän tähtäimen suojausten sopeuttamista lyhyelle tähtäimelle sopivaksi.Hinnan ennustamisella on suuri rooli lyhyen tähtäimen sähköjohdannaisten hyödyntämisprosessissa. Työssä esitelty hinnan ennustamismalli on sopiva päivä- ja viikkotason Nord Poolin Elspot -systeemihinnan ennustamiseen. Elspot -systeemihinnan ennustamismalli on suunniteltu käytännönläheiseksi ja sen perustana ovat todelliset fysikaaliset ja mitattavat suureet. Futuurimarkkinatietämys on tarpeen lyhyen tähtäimen johdannaisia käytettäessä. Työssä tutkitaan yleisiä markkinoiden odotuksia ja futuurimarkkinoiden tietoisuuden kehittymistä koskien tulevaa vallitsevaa tilannetta. Työssä luodaan myös työkalu, mikä auttaa kaupan laatijaa muodostamaan suuntaa-antavat todennäköisyydet eri hintanäkemyksille ja paikallistamaan mahdolliset markkinoiden epätodennäköiset hintaodotukset.Kokemukset Elspot -systeemihinnan ennustamismallin soveltamisesta ovat lupaavia. Lisäksi havainnot futuurimarkkinoiden käyttäytymisestä Nord Poolissa ja muodostettu työkalu suuntaa-antavien todennäköisyyksien selvittämiseksi auttavat kaupan laatijaa päätöksenteossa. Lyhyen tähtäimen sähköjohdannaisten hyödyntäminen teollisessa energianhallinnassa on periaatteessa mahdollista esitellyn prosessin avulla, vaikka täydellinen käyttöönotto vaatisi vielä joitakin järjestelyjä. Keskittymällä tilanteisiin jotka työssä kuvatulla prosessilla ovat hoidettavissa, työssä määritellyllä menettelyllä on mahdollisuudet saavuttaa epäedullisen hintakehityksen riskin väheneminen ja parempi taloudellinen tulos teollisen energianhallinnan sähkökaupankäynnissä.

Tukkusähkön hintapiikkeihin reagoinnin keinot sellu- ja kartonkitehtaalla.

Sähkön tukkuhinnat vaihtelivat hyvin voimakkaasti talvella 2009–2010. Työssä on esitetty rajahyötytarkasteluna yhdistetyn sellu- ja paperitehtaan mahdollisuudet lisätä vastapainesähkön tuotantoa sekä leikata sähkön kulutusta aikana, jolloin sähkön tuntihinta on korkea. Työssä tarkastellaan myös erilaisia sähkömarkkinaoperaatioita. Työn ensimmäisessä osiossa esitellään Stora Enson Imatran tehtaat. Myöhemmissä kappaleissa perehdytään pohjoismaisten sähkömarkkinoiden sekä kaasupörssin toimintaan. Jotta korkeista sähkön hinnoista voitaisiin hyötyä, tulee sähkön myyntitarjoukset jättää sähköpörssi Nord Poolin kaupankäyntijärjestelmään toimitusvuorokautta edeltävänä päivänä. Tässä työssä on määritetty sähköenergian mahdolliset myyntivolyymit sekä hinnat eri tuotantotilanteissa. Työssä pyritään parantamaan tehtaan sähkökaupankäynnin kannattavuutta käyttämällä eri sähkökaupan tuotteita. Työssä esitetään malleja, joiden avulla korkeita sähkön markkinahintoja voidaan pyrkiä hyödyntämään. Eri sähkömarkkinatuotteet soveltuvat myös riskienhallintaan voimakkaasti vaihtelevilla sähkömarkkinoilla

The evolution ofRussian power industry from monopoly to market operation

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Investment Determinants and Future Shape of Russia's Power Generation

The reformation of power sector is still in the process of development. The present day situation in Russian electricity power market ischaracterized as transitional period: competitive electricity market is forming, new companies are being created and the power of government regulation is decreasing. The main aim of the reformation is to attract much-needed private investments to the power sector. The electricity consumption increases very rapidly and power sector has to cope with high demand. The goal of this master's thesis is to analyze the nowadays situation in Russian power sector, such as generation structure, condition of electricity networks, electricity price formation for end-users, shape of fuel sector and investments risks and attraction.The final result of this work is creation of scenario of Russian power sector future shape and analysis of the present day situation.

Scenarios for electricity power sector development in the North-West of Russia

Focus of this thesisis made on development of electricity sector of Russian North-West. The objective was to determine the most likely scenarios for development of the most critical (western) part of Interregional Power System of North-West, from where the most part of Russian electricity exports to the countries of European Union take place. For this purpose all the involved sides were analyzed: generation, transmission system and electricity consumption in different regions of Russian North-West. The analysis was performed through investigation of existing generation andtransmission capacities and plans for their development to be performed by the generation and transmission companies operating in the region. Principles of Russian electricity sector restructuring and electricity market design are also discussed as well as factors that may influence on future electricity price in the region.

Regulation of Electricity Transmission and Distribution in Russia

The regulation of electricity transmission and distribution business is an essential issue for any electricity market; it is widely introduced in developed electricity markets of Great Britain, Scandinavian countries and United States of America and other. Those markets which were liberalized recently also need well planned regulation model to be chosen and implemented. In open electricity markets the sectors of electricity distribution and transmission remain monopolies, so called "natural monopolies", as introducing the competition into these sectors in most cases appears to be inefficient. Thatis why regulation becomes very important as its main tasks are: to set reasonable tariffs for customers, to ensure non-discriminating process of electricity transmission and distribution, at the same time to provide distribution companies with incentives to operate efficiently and the owners of the companies with reasonable profits as well; the problem of power quality should be solved at the same time. It should be mentioned also, that there is no incentive scheme which will be suitable for any conditions, that is why it is essential to study differentregulation models in order to form the best one for concrete situation. The aim of this Master's Thesis is to give an overview over theregulation of electricity transmission and distribution in Russia. First, the general information about theory of regulation of natural monopolies will be described; the situation in Russian network business and the importance of regulation process for it will be discussed next. Then there is a detailed description ofexisting regulatory system and the process of tariff calculation with an example. And finally, in the work there is a brief analysis of problems of present scheme of regulation, an attempt to predict the following development of regulationin Russia and the perspectives and risks connected to regulation which could face the companies that try to enter Russian electricity market (such as FORTUM OY).

Short-term forecasting of power demand in the Nord Pool market

Sähkönkulutuksen lyhyen aikavälin ennustamista on tutkittu jo pitkään. Pohjoismaisien sähkömarkkinoiden vapautuminen on vaikuttanut sähkönkulutuksen ennustamiseen. Aluksi työssä perehdyttiin aiheeseen liittyvään kirjallisuuteen. Sähkönkulutuksen käyttäytymistä tutkittiin eri aikoina. Lämpötila tilastojen käyttökelpoisuutta arvioitiin sähkönkulutusennustetta ajatellen. Kulutus ennusteet tehtiin tunneittain ja ennustejaksona käytettiin yhtä viikkoa. Työssä tutkittiin sähkönkulutuksen- ja lämpötiladatan saatavuutta ja laatua Nord Poolin markkina-alueelta. Syötettävien tietojen ominaisuudet vaikuttavat tunnittaiseen sähkönkulutuksen ennustamiseen. Sähkönkulutuksen ennustamista varten mallinnettiin kaksi lähestymistapaa. Testattavina malleina käytettiin regressiomallia ja autoregressiivistä mallia (autoregressive model, ARX). Mallien parametrit estimoitiin pienimmän neliösumman menetelmällä. Tulokset osoittavat että kulutus- ja lämpötiladata on tarkastettava jälkikäteen koska reaaliaikaisen syötetietojen laatu on huonoa. Lämpötila vaikuttaa kulutukseen talvella, mutta se voidaan jättää huomiotta kesäkaudella. Regressiomalli on vakaampi kuin ARX malli. Regressiomallin virhetermi voidaan mallintaa aikasarjamallia hyväksikäyttäen.

New Climate Change Related EC Directives and Their Interrelations to Green Electricity and Certificate Practices

Työn päätavoite on tutkia vihreän sähkön ja sertifikaattien kaupan ja EY:n uusien ilmastonmuutosta koskevien direktiivien ja direktiiviehdotusten välisiä yhteyksiä. Tutkimuksessa käsitellään direktiiviä sähköntuotannosta uusiutuvilla energialähteillä ja direktiiviehdotuksia Euroopan Unionin alueen päästökaupasta sekä yhdistetyn sähkön ja lämmön tuotannon lisäämisestä. Työ keskittyy erään suomalaisen metsäteollisuusyrityksen toimiin ilmastonmuutoksen hidastamiseksi. Tutkimus keskittyy pääosin EU:n suunnitelmaan aloittaa Unionin jäsenvaltioiden välinen päästökauppa, koska tämä järjestelmä tulee toteutuessaan olemaan teollisuuden kannalta merkittävä. Tilannetta on analysoitu neljän sellu- ja paperitehtaan hiilidioksidipäästölaskelmien avulla. Työssä kehitettyjä laskumalleja voidaan käyttää avuksi yhtiön muilla tehtailla. Tämän lisäksi työssä on luotu malli energiainvestointien arvioimiseksi tulevaisuudessa ottamalla päästöoikeuden hinnan vaikutus huomioon. Päästökaupan vaikutukset pohjoismaisilla vapautuneilla sähkömarkkinoilla on analysoity, koska teollinen sähkönhankinta on suuresti riippuvainen tästä markkinasta. Suomen metsäteollisuuden oma yhdistetty sähkön ja lämmön tuotanto erityisesti uusiutuvista energialähteistä tulee olemaan entistäkin tärkeämpää tiukentuvassa toimintaympäristössä. Tällä hetkellä on käynnissä kokeilu lisäarvon saamiseksi omalle sähköntuotannolle. Tällä haetaan kokemuksia ja valmiutta tulevaa päästökauppaa varten.

Comparison of electricity generation costs

The economical competitiveness of various power plant alternatives is compared. The comparison comprises merely electricity producing power plants. Combined heat and power (CHP) producing power will cover part of the future power deficit in Finland, but also condensing power plants for base load production will be needed. The following types of power plants are studied: nuclear power plant, combined cycle gas turbine plant, coal-fired condensing power plant, peat-fired condensing power plant, wood-fired condensing power plant and wind power plant. The calculations are carried out by using the annuity method with a real interest rate of 5 % per annum and with a fixed price level as of January 2008. With the annual peak load utilization time of 8000 hours (corresponding to a load factor of 91,3 %) the production costs would be for nuclear electricity 35,0 €/MWh, for gas based electricity 59,2 €/MWh and for coal based electricity 64,4 €/MWh, when using a price of 23 €/tonCO2 for the carbon dioxide emission trading. Without emission trading the production cost of gas electricity is 51,2 €/MWh and that of coal electricity 45,7 €/MWh and nuclear remains the same (35,0 €/MWh) In order to study the impact of changes in the input data, a sensitivity analysis has been carried out. It reveals that the advantage of the nuclear power is quite clear. E.g. the nuclear electricity is rather insensitive to the changes of nuclear fuel price, whereas for natural gas alternative the rising trend of gas price causes the greatest risk. Furthermore, increase of emission trading price improves the competitiveness of the nuclear alternative. The competitiveness and payback of the nuclear power investment is studied also as such by using various electricity market prices for determining the revenues generated by the investment. The profitability of the investment is excellent, if the market price of electricity is 50 €/MWh or more.