Markkinaehtoinen hinnoittelu ja loppuasiakasmyynnin mallintaminen sähkökaupan riskienhallinnassa

Markkinauudistuksen myötä sähkökauppa pörssin kautta on lisääntynyt voimakkaasti ja tukkusähkölle on muodostunut yleisesti tunnustettu markkinahinta. Pörssikauppaan sisältyy monia riskejä, joiden hallinta on pörssikauppaa harjoittavan osapuolen toiminnan edellytys. Tukkusähkön hinnan markkinaehtoinen määräytyminen ja pörssikaupan riskit ovat muuttaneet sähkön vähittäismyynnin hinnoittelutarpeita. Työssä esitetään markkinaehtoinen hinnoittelumenetelmä, jossa markkinahinta-, aluehinta- ja profiiliriskit otetaan huomioon. Erityisesti tutkitaan hinnoittelussa vaikeimmin huomioitavissa olevan profiiliriskin muodostumista ja esitetään menetelmä sen hallintaan. Lisäksi esitetään menetelmät suojaustason optimointiin ja suojaustuotteiden toimitusjaksoista poikkeavan sähköntoimituksen hinnoitteluun. Kilpaillussa ympäristössä pärjää parhaiten se, joka toimii kustannustehokkaimmin ja hallitsee riskinsä parhaiten. Työn lopuksi esitetään kuinka myyntisopimuskannan salkuttamista voidaan käyttää hyväksi näihin tavoitteisiin pyrittäessä.

Viron sähkömarkkinoiden vapautumisen hyödyntäminen ISS-konsernin liiketoiminnassa

Euroopan Unionin tavoitteena on vapauttaa ja yhdentää sähkömarkkinoita. Sähkömarkkinoiden vapautumisella ja yhdentymisellä EU:ssa taataan toimivat sisämarkkinat siirtovarmuudeltaan ja vähennetään energiariippuvuutta kolmansista maista. Sähkömarkkinoiden vapautuminen on toteutunut vaiheittain ja Virossa sähkömarkkinat ovat edelleen osittain säännöstellyt. EU:n lainsäädännön mukaan sähkömarkkinat tuli vapauttaa vuoteen 2007 mennessä, mutta Viro sai siirtymäkauden vuoteen 2013 saakka mm. rakenteellisten ongelmien vuoksi. Imatran Seudun Sähköllä on omistuksessa Virossa toimiva sähköyhtiö, Imatra Elekter AS. Työn tavoitteena oli selvittää Viron sähkömarkkinoiden toimintaa, markkinoiden vapautumisen vaikutuksia ja vapautumisen hyödyntämismahdollisuuksia Imatran Seudun Sähkön liiketoiminnassa. Viron sähkömarkkinat ovat hyvin erikoiset ja kilpailutilanne markkinoiden vapautumisen jälkeen on haastava. Markkinat ovat hyvin keskittyneet yhden osapuolen suuren markkinaosuuden vuoksi ja sähkön tuotanto perustuu lähes yksinomaan yhdellä polttoaineella keskitetysti tuotettuun energiaan. Huolimatta näistä seikoista markkinoilla on paljon myös mahdollisuuksia, joita tässä työssä selvitettiin. Työn tuloksena saatiin muodostettua liiketoimintastrategia energia- ja verkkoliiketoiminnalle. Lisäksi työssä pohdittiin energian tuotantomahdollisuuksia Virossa ja selvitystyö tuotti tulokseksi varteenotettavia energian tuotantomahdollisuuksia.

La Previsione dei Consumi Elettrici nel Mercato Energetico Italiano : un nuovo modello empirico con struttura triangolare

L'obiettivo principale della tesi è lo sviluppo di un modello empirico previsivo di breve periodo che sia in grado di offrire previsioni precise ed affidabili dei consumi di energia elettrica su base oraria del mercato italiano. Questo modello riassume le conoscenze acquisite e l'esperienza fatta durante la mia attuale attività lavorativa presso il Romagna Energia S.C.p.A., uno dei maggiori player italiani del mercato energetico. Durante l'ultimo ventennio vi sono stati drastici cambiamenti alla struttura del mercato elettrico in tutto il mondo. Nella maggior parte dei paesi industrializzati il settore dell'energia elettrica ha modificato la sua originale conformazione di monopolio in mercato competitivo liberalizzato, dove i consumatori hanno la libertà di scegliere il proprio fornitore. La modellazione e la previsione della serie storica dei consumi di energia elettrica hanno quindi assunto un ruolo molto importante nel mercato, sia per i policy makers che per gli operatori. Basandosi sulla letteratura già esistente, sfruttando le conoscenze acquisite 'sul campo' ed alcune intuizioni, si è analizzata e sviluppata una struttura modellistica di tipo triangolare, del tutto innovativa in questo ambito di ricerca, suggerita proprio dal meccanismo fisico attraverso il quale l'energia elettrica viene prodotta e consumata nell'arco delle 24 ore. Questo schema triangolare può essere visto come un particolare modello VARMA e possiede una duplice utilità, dal punto di vista interpretativo del fenomeno da una parte, e previsivo dall'altra. Vengono inoltre introdotti nuovi leading indicators legati a fattori meteorologici, con l'intento di migliorare le performance previsive dello stesso. Utilizzando quindi la serie storica dei consumi di energia elettrica italiana, dall'1 Marzo 2010 al 30 Marzo 2012, sono stati stimati i parametri del modello dello schema previsivo proposto e valutati i risultati previsivi per il periodo dall'1 Aprile 2012 al 30 Aprile 2012, confrontandoli con quelli forniti da fonti ufficiali.

The role of information systems in business process redesign : a case of Turkish electricity market

This study is specifically concerned with the effect of the Enterprise Resource Planning (ERP) on the Business Process Redesign (BPR). Researcher’s experience and the investigation on previous researches imply that BPR and ERP are deeply related to each other and a study to found the mentioned relation further is necessary. In order to elaborate the hypothesis, a case study, in particular Turkish electricity distribution market and the phase of privatization are investigated. Eight companies that have taken part in privatization process and executed BPR serve as cases in this study. During the research, the cases are evaluated through critical success factors on both BPR and ERP. It was seen that combining the ERP Solution features with business processes lead the companies to be successful in ERP and BPR implementation. When the companies’ success and efficiency were compared before and after the ERP implementation, a considerable change was observed in organizational structure. It was spotted that the team composition is important in the success of ERP projects. Additionally, when the ERP is in driver or enabler role, the companies can be considered successful. On the contrary, when the ERP has a neutral role of business processes, the project fails. In conclusion, it can be said that the companies, which have implemented the ERP successfully, have accomplished the goals of the BPR.

Developing of Service Platform Thinking in Modern Electricity Distribution Business

Palvelukehitystoiminta sitoo huomattavan määrän resursseja ja on pitkäkestoista toimintaa. Innovatiivisuuteen tähtäämällä ja systemaattisella tuotekehitystyöllä yritys parantaa jatkuvuutta omassa liiketoiminnassaan. Alusta-ajattelu tuo uuden ulottuvuuden tuotteiden ja palveluiden kehitykseen. Alustan kehittäminen tukemaan tuote- ja palvelukehitystoimintaa ja yksinkertaistamaan tuote/palvelurakenteita antaa yrityksissä lisäpotentiaalia esimerkiksi lyhentyneiden kehitysaikojen, paremman kompleksisuuden hallinnan ja kustannustehokkuuden nousun myötä. Toimintojen tehostuminen yritystasolla saa aikaan mahdollisuuksien lisääntymisen nykyisillä liiketoimintasektoreilla. Palvelualustan kehityksellä päästään palvelurakenteen mallintamisen kautta parempaan liiketoiminnan hallitsemiseen ja systemaattisempaan tuotekehityksen läpivientiin. Palvelualustan yhtenä tärkeimpänä hyötynä on, että palvelun rakenteellisuus saadaan kuvattua alustaan. Lisäksi on tärkeää määritellä vastuutukset alustan kehityksessä, sekä pystyä mallintamaan informaation kulku (rajapinnat) prosesseissa.

From the Resource-Base to Firm Boundaries in the Electricity Network Business - Case Lappeenrannan Energia Oy

Tutkielman tavoitteena oli selvittääcase -yrityksen resurssi- ja kyvykkyyspohjaa resurssiperustaisen näkemyksen mukaan, sekä yrityksen rajoja transaktiokustannusteorian mukaan. Tutkimusongelmia lähestyttiin kirjallisuuskatsauksella, puoli-strukturoiduilla teemahaastatteluilla, sekä kyselylomakkeilla. Tutkielman päätuloksiksi voidaan Tukea löydetty resurssikuilu, resurssien ja kyvykkyyksien tutkinta, sekä kyselylomakkeiden rakentaminen ja käyttö. Tutkielman paljastamasta kuilusta voidaan erottaa kolme päähaastetta; ikääntyvät sähköverkot, ikääntyvä henkilökunta ja liiketoimintaosaamisen puute. Lisäksi resurssien ja kyvykkyyksien tutkinta nosti esille organisaation rutiineja ja prosesseja, ja kyselylomakkeet osoittautuivat varsin toimiviksi tutkimuksen kontekstissa. Yhteenvetona voidaan todeta, että sähköverkkoliiketoiminta ja case yritys ovat suuren rakennemuutoksen alla, joka tuo mukanaan suuria haasteita myös lähitulevaisuudessa.

Change of Electricity Distribution Industry: Drivers and Opening Business Opportunities

As a result of the recent regulatory amendments and other development trends in the electricity distribution business, the sector is currently witnessing radical restructuring that will eventually impact the business logics of the sector. This report represents upcoming changes in the electricity distribution industry and concentrates on the factors that are expected to be the most fundamental ones. Electricity network companies nowadays struggle with legislative and regulatory requirements that focus on both the operational efficiency and the reliability of electricity distribution networks. The forces that have an impact on the distribution network companies can be put into three main categories that define the transformation at a general level. Those are: (1) a requirement for a more functional marketplace for energy, (2) environmental aspects (combating climate change etc.), and (3) a strongly emphasized requirement for the security of energy supply. The first point arises from the legislators’ attempt to increase competition in electricity retail markets, the second one concerns both environmental protection and human safety issues, and the third one indicates societies’ reduced willingness to accept interruptions in electricity supply. In the future, regulation of electricity distribution business may lower the threshold for building more weather-resistant networks, which in turn means increased underground cabling. This development pattern is reinforced by tightening safety and environmental regulations that ultimately make the overhead lines expensive to build and maintain. The changes will require new approaches particularly in network planning, construction, and maintenance. The concept for planning, constructing, and maintaining cable networks is necessary because the interdependencies between network operations are strong, in other words, the nature of the operation requires a linkage to other operations.

Analysis of electricity distribution network operation business models and capitalization of control room functions with DMS

Electricity distribution network operation (NO) models are challenged as they are expected to continue to undergo changes during the coming decades in the fairly developed and regulated Nordic electricity market. Network asset managers are to adapt to competitive technoeconomical business models regarding the operation of increasingly intelligent distribution networks. Factors driving the changes for new business models within network operation include: increased investments in distributed automation (DA), regulative frameworks for annual profit limits and quality through outage cost, increasing end-customer demands, climatic changes and increasing use of data system tools, such as Distribution Management System (DMS). The doctoral thesis addresses the questions a) whether there exist conditions and qualifications for competitive markets within electricity distribution network operation and b) if so, identification of limitations and required business mechanisms. This doctoral thesis aims to provide an analytical business framework, primarily for electric utilities, for evaluation and development purposes of dedicated network operation models to meet future market dynamics within network operation. In the thesis, the generic build-up of a business model has been addressed through the use of the strategicbusiness hierarchy levels of mission, vision and strategy for definition of the strategic direction of the business followed by the planning, management and process execution levels of enterprisestrategy execution. Research questions within electricity distribution network operation are addressed at the specified hierarchy levels. The results of the research represent interdisciplinary findings in the areas of electrical engineering and production economics. The main scientific contributions include further development of the extended transaction cost economics (TCE) for government decisions within electricity networks and validation of the usability of the methodology for the electricity distribution industry. Moreover, DMS benefit evaluations in the thesis based on the outage cost calculations propose theoretical maximum benefits of DMS applications equalling roughly 25% of the annual outage costs and 10% of the respective operative costs in the case electric utility. Hence, the annual measurable theoretical benefits from the use of DMS applications are considerable. The theoretical results in the thesis are generally validated by surveys and questionnaires.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Questions arising in the consideration of the financial and business aspects of municipal electricity supply.

Reprinted from Proceedings of the Incorporated Municipal Electrical Association, 26th annual meeting, 1921, p. 13-92.

Multi-agent simulation of continental, regional, and micro electricity markets

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

ANN based day-ahead spinning reserve forecast for electricity market simulation

Electricity market players operating in a liberalized environment require adequate decision support tools, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. This paper deals with short-term predication of day-ahead spinning reserve (SR) requirement that helps the ISO to make effective and timely decisions. Based on these forecasted information, market participants can use strategic bidding for day-ahead SR market. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.