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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
61

Analyse quantitative des architectures des marchés électriques : illustration des dynamiques de court et long termes / Quantitative assessment of electricity market designs : illustrations of short-term and long-term dynamics

Hary, Nicolas 28 March 2018 (has links)
Suite aux réformes des marchés électriques, la question du market design, c’est-à-dire l’étude des nouveaux marchés destinés à remplacer l’ancien monopole, est devenue centrale dans la littérature économique. Toutefois, les caractéristiques techniques de l’électricité rendent cette tâche complexe et l’intervention des pouvoirs publics est souvent nécessaire pour établir les règles du jeu efficaces que les acteurs de marché devront suivre. Cela explique pourquoi le market design demeure un sujet d’actualité. Cette thèse contribue aux discussions actuelles en étudiant plusieurs architectures de marché à mettre en place afin d’assurer la fiabilité du système électrique de la façon la plus efficace.La fiabilité est d’abord étudiée sous sa dimension de court terme, appelée sûreté. Pour garantir un équilibre en temps réel, l’opérateur du système doit s’assurer de disposer d’un niveau suffisant de réserves: c’est l’objectif du modèle de sûreté. Dans cette thèse, les impacts économiques induits par un changement de modèle de sureté pour le système électrique français sont évalués. Une modélisation de type Agent-Based est développée pour simuler les décisions des acteurs sur plusieurs marchés de court terme. Les résultats montrent que le modèle de sureté français actuel conduit à des coûts inférieurs à ceux du modèle alternatif mis en œuvre dans d’autres pays européens. Le maintien du modèle actuel en France apparait donc justifié.La dimension long terme de la fiabilité, à savoir l’adéquation, est ensuite étudiée. Les performances économiques d’un marché de capacité et d’un mécanisme de réserve stratégique, deux solutions conçues pour résoudre le problème d’adéquation, sont comparées. Afin de considérer la nature cyclique des investissements, ces mécanismes sont étudiés d’un point de vue dynamique par l’intermédiaire d’une modélisation de type System Dynamics. Celle-ci simule les décisions d'investissements et de fermetures prises par les acteurs de marché, en considérant leurs comportements imparfaits. Les principaux résultats montrent que le marché de capacité résout la question de l'adéquation à un coût moindre. / Following power market reforms, market design, i.e. the study of new markets to replace efficiently the previous monopoly, becomes central in the economic literature. However, due to several technical characteristics of electricity, this task is complex. A third party is then required to help design these markets in an efficient way and to set the rules under which private decentralized market players will interact. This complexity explains why market design remains a work in progress. This thesis contributes to the current discussions by giving insights on the most efficient market designs to implement to ensure the reliability of power systems.A first focus is made on the short-term dimension of reliability, i.e. the security of power systems. To maintain a balanced system, the system operator has to ensure the availability of a sufficient level of reserves in real time: this is the aim of the security model. In this thesis, a quantitative assessment of the economic impacts that a transition to a different security model would have for the French power system is carried out. An agent-based modelling is developed to simulate the decisions of profit-maximizing players on several short-term markets. Simulations show that the current French security model results in lower costs than the alternative one implemented in several European countries, and should therefore be maintained for the French power system.A second focus is made on the long-term dimension of reliability, i.e. the adequacy. The economic performances of a capacity market and a strategic reserve mechanism, two mechanisms designed to solve the adequacy issue, are compared. In order to capture the cyclical nature of investments, these mechanisms are studied from a dynamic point of view. To this end, a long-term model is developed based on a System Dynamics approach. It simulates the investment and shutdown decisions made by market players considering their imperfect behaviours. Main results show that the capacity market solves the adequacy issue at a lower cost than the strategic reserve mechanism.
62

Price Based Unit Commitment With Reserve Considerations

Okuslug, Ali 01 January 2013 (has links) (PDF)
In electricity markets of modern electric power systems, many generation companies, as major market participants, aim to maximize their profits by supplying the electrical load in a competitive manner. This thesis is devoted to investigate the price based unit commitment problem which is used to optimize generation schedules of these companies in deregulated electricity markets. The solution algorithm developed is based on Dynamic Programming and Lagrange Relaxation methods and solves the optimization problem for a generation company having many generating units with different cost characteristics. Moreover, unit constraints including ramp-rate limits, minimum ON/OFF times, generation capacities of individual units and system constraints such as total energy limits, reserve requirements are taken into account in the problem formulation. The verification of the algorithm has been carried out by comparing the results of some sample cases with those in the literature. The effectiveness of the algorithm has been tested on several test systems. Finally, the possible utilization of the method by a generation company in Turkish Electricity Market to develop bidding strategies is also examined based on some case studies.
63

Smarta elnät i Sverige : Energibranschens förutsättningar och förväntningar

Simm Lindbäck, Johan January 2012 (has links)
The need for a more efficient electrical grid has made the smart grid concept popular in recent years. The aims of this study are to identify the conditions in Sweden for implementing a smart grid and to analyse the opinions of stakeholders. One finding is that the large capacity of Sweden’s existing electrical grid decreases the immediate need for smart grid solutions. However, the rapid increase in wind power might push the development of a smart grid in the coming years. By employing case study methodology, five different smart grid projects in Sweden are discussed, using different theoretical frameworks, including actor network theory, discourse analysis, technological trajectories, diffusion of innovation and timing of entry. Norra Djurgardsstaden, a large construction project in Stockholm in which smart grid technology is used, is then analysed. The differing views of the parties involved in the project raise the question of whether more coordination is needed. Another project at Falbygdens Energi focuses on energy storage in batteries. This project poses the question of whether the regulation of the Swedish power market needs to be reformed to support the smart grid and to encourage new ways of collaborating and doing business. The final discussion concludes by suggesting new research questions.
64

Alternative Feasibility Studies For Altiparmak Dam And Hepp

Ak, Mumtaz 01 October 2011 (has links) (PDF)
Hydropower is the most important domestic energy source of Turkey. Thus, wise planning and development of the unused hydropower potential of the country is vital. There are many hydroelectric power plants under planning stage in our country. Altiparmak HEPP is one of them. General Directorate of Electrical Power Resources Survey and Development Administration (EIE) and ANC Enerji conducted two separate feasibility studies for Altiparmak HEPP in 2001 and 2009, respectively. Traditionally, the energy income calculations for HEPPs are based on DSI or EIE Methods in Turkey. Both of these methods evaluate the firm and the secondary energy generations separately. Besides they use fixed prices for these two types of energies. However, hourly electricity prices are used for electricity trading in Turkey. A detailed economic analysis of Altiparmak HEPP is conducted in this study. The economic analysis included various factors, such as tailwater level change, varying operating levels for different seasons and precipitation and evaporation amounts which are not conventionally included in feasibility studies. Moreover, the energy income calculations are conducted with four different methods, the DSI Method, the EIE Method, the ANC Method and the Variable Price Method (VPM). The VPM is developed in this study and it allows utilization of hourly electricity prices in calculating energy income of the HEPP. To shed some light on how hourly electricity prices develop, this thesis includes a chapter on the electricity market which explains the details of electricity trading in our country after the Electricity Market Balancing and Settlement Regulation became active in 2009.
65

Study of UPLAN based resources planning & analysis by power generation utilities in the deregulated electricity market

Chakrabarti, Sambuddha 05 January 2011 (has links)
Generators bid into the deregulated electricity market in order to get committed & dispatched for meeting demands. In order to maximize their revenues & minimize the cost, systematic planning of the resources and analyzing the results is crucial to the success of any generation utility. UPLAN Network Power Model provides a convenient way to model & simulate the different expected conditions related to transmission, fuel costs & other variables which are of significant importance for generation planning and also allows us to analyze the way the output variables like capacity factors of generators, prices for Energy and Ancillary Services are affected by them. Based on a very simple model, this report describes the typical approach to UPLAN based resources planning & analyzes the significance of the results. Before that it also tried to understand the way UPLAN works for a very simple three bus model by stepwise introduction of complexity & analysis of results of the simulation runs. A few other issues like the Power Purchase Agreements, Congestion & Congestion Revenue Rights & the way Electricity is traded in the Deregulated Market are also presented. / text
66

Analyse variationnelle de problèmes d'optimisation structurés et problèmes d'équilibre, avec application aux marchés de l'électricité

Pistek, Miroslav 26 March 2015 (has links)
Cette thèse est consacrée à l'analyse variationnelle des problèmes d'équilibre avec contraintes d'équilibre (problème d'optimisation bi-niveaux). Ce travail tire sa motivation de modèles de marchés de l'électricité issus de la théorie des jeux non coopératifs. Dans de tels marchés, un régulateur, appelé ISO (Independant System Operator), gère le clearing et les flux d'électricité entre zones d'enchère. Nous avons développé cette analyse variationnelle selon différents axes. Tout d'abord et sur un modèle spécifique, nous avons analysé de façon exhaustive la notion de meilleure réponse d'un producteur, grâce à la détermination d'une formule explicite pour l'unique solution du problème de bas niveau de l'ISO. Puis, pour un modèle plus général de marché, la stabilité des points M(ordukhovitch)-stationnaires a été étudiée via la notion de codérivée limiting de second ordre des opérateurs multivoques. En fin, le concept d'opérateur normal limiting a été introduit et des règles de calcul ont été obtenues, fournissant ainsi un nouvel outil performant pour l'analyse quasiconvexe. L'idée de base a été l'utilisation, pour des cônes normaux à des sous-niveaux d'une fonction, de la construction limiting classiqueen analyse variationnelle moderne. Cette approche est motivée par l'hypothèse de la quasiconvexité des fonctions de coût généralement faite dans de nombreux jeux non-coopératifs. / This thesis is focused on nonsmooth variational analysis of equilibrium problems with equilibrium constraints. Such an eff ort is directly motivated by a model of electricity markets encountered in non-cooperative game theory. In such a marketthere is the so-called Independent System Operator (ISO), a regulator entity that manages the market clearing and the electricity dispatch. This market structure makes the problem of electricity markets challenging from the mathematicalpoint of view. In this area, we discovered several possibilities for further development. First, the best responses of producers in a speci fic variant of a model are fully analysed. This progress was due to an analytical formula for a uniquesolution to the lower level ISO problem. Then, for a more general model of the market, stability of the so-called M(ordukhovich)-stationarity points is provided based on the concept of coderivatives. To this end, the respective second order limiting coderivative was computed. Finally, the concept of limiting normal operator is proposed, a new tool for quasiconvex analysis exhibiting workable calculus rules. The basic idea is to employ the same limiting construction that is used in modern variational analysis in connection with normal cones to sets. This topic is motivated by the classical assumption in many non-cooperative games where the loss function of players is often assumed to be quasiconvex.
67

Improving Deterministic Reserve Requirements for Security Constrained Unit Commitment and Scheduling Problems in Power Systems

January 2015 (has links)
abstract: Traditional deterministic reserve requirements rely on ad-hoc, rule of thumb methods to determine adequate reserve in order to ensure a reliable unit commitment. Since congestion and uncertainties exist in the system, both the quantity and the location of reserves are essential to ensure system reliability and market efficiency. The modeling of operating reserves in the existing deterministic reserve requirements acquire the operating reserves on a zonal basis and do not fully capture the impact of congestion. The purpose of a reserve zone is to ensure that operating reserves are spread across the network. Operating reserves are shared inside each reserve zone, but intra-zonal congestion may block the deliverability of operating reserves within a zone. Thus, improving reserve policies such as reserve zones may improve the location and deliverability of reserve. As more non-dispatchable renewable resources are integrated into the grid, it will become increasingly difficult to predict the transfer capabilities and the network congestion. At the same time, renewable resources require operators to acquire more operating reserves. With existing deterministic reserve requirements unable to ensure optimal reserve locations, the importance of reserve location and reserve deliverability will increase. While stochastic programming can be used to determine reserve by explicitly modelling uncertainties, there are still scalability as well as pricing issues. Therefore, new methods to improve existing deterministic reserve requirements are desired. One key barrier of improving existing deterministic reserve requirements is its potential market impacts. A metric, quality of service, is proposed in this thesis to evaluate the price signal and market impacts of proposed hourly reserve zones. Three main goals of this thesis are: 1) to develop a theoretical and mathematical model to better locate reserve while maintaining the deterministic unit commitment and economic dispatch structure, especially with the consideration of renewables, 2) to develop a market settlement scheme of proposed dynamic reserve policies such that the market efficiency is improved, 3) to evaluate the market impacts and price signal of the proposed dynamic reserve policies. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2015
68

Metodologia de otimização de portfólio e avaliação de lances para leilões combinatórios de novos empreendimentos de geração / Portfolio optimization and bidding valuation methodology for combinatorial auctions of new power plants

Lacorte, Debora Yamazaki 21 August 2018 (has links)
Orientador: Paulo de Barros Correia / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-21T01:54:51Z (GMT). No. of bitstreams: 1 Lacorte_DeboraYamazaki_M.pdf: 3821412 bytes, checksum: 77a00f590584de1ac09d6c73af31ebc5 (MD5) Previous issue date: 2012 / Resumo: Leilões são empregados na comercialização de energia elétrica brasileira por se tratarem de mecanismos rápidos, seguros e eficientes para a alocação de bens. O objetivo do trabalho é sugerir uma possível implementação de um leilão combinatório como um mecanismo de investimento em novos empreendimentos de geração na exploração das complementaridades entre as fontes. A partir da visão de um participante do mecanismo, uma otimização de portfólio com diferentes empreendimentos de geração de energia é realizada na busca da combinação que minimize os riscos de exposição do agente ao PLD. Escolhido o portfólio ótimo, uma avaliação de lances é feita através do método de Monte Carlo na busca da distribuição dos lances prováveis no jogo, de forma a embasar a tomada de decisão do participante na competição contra seus adversários. A combinação de fontes complementares contribui na diminuição dos riscos de exposição ao preço spot, atuando principalmente numa melhora do valor de lances para agentes avessos ao risco relacionado às oscilações de preços do mercado / Abstract: Auctions are used in the Brazilian electricity market for being a rapid, safe and efficient method for allocation of goods. The objective of this work is to suggest a possible implementation of a combinatorial auction as a mechanism for investment in new generation projects by the exploitation of the existing complementarities between sources. From the perspective of a participant of the mechanism, a portfolio optimization with power plants of different sources is performed searching the combination of assets that minimizes the risks of exposure of the agent to the spot prices. After choosing the optimal portfolio, an evaluation of bids is done using the Monte Carlo method in order to find the distribution of bids that is likely to happen during the game in order to base the decision making of the participant in the competition against their opponents. The combination of complementary sources helps to reduce risks of exposure to the spot prices, working mainly in improved value bids for risk averse agents concerned with the market prices fluctuations / Mestrado / Planejamento de Sistemas Energeticos / Mestra em Planejamento de Sistemas Energéticos
69

Optimal Bidding Strategy for a Strategic Power Producer Using Mixed Integer Programming

Sadat, Sayed Abdullah 14 March 2017 (has links)
The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer’s bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool’s operation and guessing the rival producer’s bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties. First, the lower-level poor operation problem is replaced by Karush-Kuhn-Tucker (KKT) optimality condition, which is further converted to an MILP formulation except a bilinear item in the objective function. Secondly, duality theory is implemented to replace the bilinear item by linear items. Finally, two types of chance constraints are examined and modeled in MILP formulation. With the MILP formulation, the entire MPEC problem considering randomness in price guessing can be solved using off-shelf MIP solvers, e.g., Gurobi. A few examples and a case study are given to illustrate the formulation and show the case study results.
70

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.

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