Investment focused strategies in electricity markets using the ITEM-game simulator

This paper presents a methodology to establish investment and trading strategies of a power generation company. These strategies are integrated in the ITEM-Game simulator in order to test their results when played against defined strategies used by other players. The developed strategies are focused on investment decisions, although trading strategies are also implemented to obtain base case results. Two cases are studied considering three players with the same trading strategy. In case 1, all players also have the same investment strategy driven by a market target share. In case 2, player 1 has an improved investment strategy with a target share twice of the target of players 2 and 3. Results put in evidence the influence of the CO2 and fuel prices in the company investment decision. It is also observed the influence of the budget constraint which might prevent the player to take the desired investment decision.

Estratégias de investimento em mercados liberalizados de energia elétrica

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo Energia

Autosimulaattoripeleihin soveltuvan kaksiakselisen liikealustan kehittäminen

Työssä kehitettiin kohtuuhintainen ja suorituskyvyltään riittävä autosimulaattoripelikäyttöön soveltuva liikealusta. Työssä tutustuttiin aluksi markkinoilla oleviin liikealustaratkaisuihin. Työssä selvitettiin myös liikealustaa koskevia turvallisuusmääräyksiä. Kehittäminen alkoi liikealustan vaatimusten määrittelyllä ja kuormituksien simuloinnilla. Runkorakenteet mitoitettiin kestämään simuloituja rasituksia. Liikealustan toimilaitteet valittiin simulointitulosten perusteella. Työssä suunniteltiin myös liikealustan ohjausjärjestelmä. Mekaanisien osien ja voimansiirron mitoittamisen jälkeen suoritettiin osien yksityiskohtainen suunnittelu. Alihankkijat valmistivat osat ja ne koottiin Älykkäiden koneiden laboratoriossa. Järjestelmän kokoamisen jälkeen viritettiin säätäjät ja testattiin liikealustan toimivuutta. Kehitettyä liikealustaa on käytetty muutamissa tapahtumissa. Asetetut tavoitteet saavutettiin ja liikealusta soveltuu kokemuksien perusteella hyvin rata-autosimulaattoripelien kanssa käytettäväksi.

Política de la lengua. Enunciados, poder y sociedad

El objetivo de este artículo es mostrar que el lenguaje está íntimamente vinculado con el mundo social y que aclarar tal relación depende de considerar en un mismo plano de dependencia a los enunciados y a las acciones –lo que obliga considerar al lenguaje como un tipo de comportamiento compartido. Eso quiere decir que el lenguaje no sirve solamente a las necesidades de la vida social como medio de intercomprensión. Sobre un fondo relativamente autónomo –caracterizable en las consideraciones sobre los matices semánticos introducidos por las significaciones implícitas– el lenguaje funciona en condiciones de realización que son relaciones sociales altamente segmentadas y jerarquizadas. La hipótesis es que el lenguaje se realiza socialmente, en la medida en que facilita a los individuos una forma de contacto. También insistimos en que como punto de partida para el análisis del carácter social del lenguaje es necesario reconocer el valor performativo que tienen los enunciados en cuanto comportan, en el ámbito de los hechos del habla, un cierto poder realizativo ajustado a condiciones sociales que determinan los caminos de tal realización.-----The aim of this article is to show that the language is intimately linked with the social world and that to clarify such a relation depends on considering in the same plane of dependence the enunciates and the actions - what it leads to consider the language as a type of shared behavior. That means that the language not only serves to the needs of the social life as way of interunderstanding. On a bottom relatively autonomous –caracterizable in the considerations on the semantic shades introduced by the implicit significances– the language works in conditions of accomplishment that are social relations highly segmented and ranked The hypothesis is that the language is made in the measure in which it facilitates a form of contact to the individuals. Also we insist that as point of item (game) for the analysis of the social character of the language it is necessary to recognize the interpretative value that has the enunsates in all that they endure, in the area of the facts of the speech, a certain execute-power fitted to social conditions that determine the ways of such a accomplishment.

Strategic bidding in electricity markets: an agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Strategic Bidding in Electricity Markets: An agent-based simulator with game theory for scenario analysis

Electricity markets are complex environments, involving a large number of different entities, with specific characteristics and objectives, making their decisions and interacting in a dynamic scene. Game-theory has been widely used to support decisions in competitive environments; therefore its application in electricity markets can prove to be a high potential tool. This paper proposes a new scenario analysis algorithm, which includes the application of game-theory, to evaluate and preview different scenarios and provide players with the ability to strategically react in order to exhibit the behavior that better fits their objectives. This model includes forecasts of competitor players’ actions, to build models of their behavior, in order to define the most probable expected scenarios. Once the scenarios are defined, game theory is applied to support the choice of the action to be performed. Our use of game theory is intended for supporting one specific agent and not for achieving the equilibrium in the market. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. The scenario analysis algorithm has been tested within MASCEM and our experimental findings with a case study based on real data from the Iberian Electricity Market are presented and discussed.

Hand receipt covering contents of components of end item (COEI), basic issue items (BII), and additional authorization list (AAL) for Multiple Integrated Laser Engagement System (MILES) simulator system, firing, laser, M80, NSN 1270-01-165-6240, for AH-1S helicopter.

"October 1988."

Hand receipt covering contents of components of end item (COEI), basic issue items (BII), and additional authorization list (AAL) for Multiple Integrated Laser Engagement System (MILES), simulator system, firing, laser, M82, NSN 1265-01-137-7697, for M1/M1A1 Abrams tank.

"November 1989."

MASCEM - an electricity market simulator providing coalition support for virtual power players

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.

Annual report of the Commissioners on Fisheries and Game.

1912

Annual report of the Commissioners on Fisheries and Game.

1916