Stochastic optimal bid to electricity markets with environmental risk constraints

There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) in the current energy market framework. Environmental policy issues have become more and more important for fossil-fuelled power plants and they have to be considered in their management, giving rise to emission limitations. This work allows to investigate the influence of both the allowances and emission reduction plan, and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The Iberian Electricity Market and the Spanish National Emissions and Allocation Plans are the framework to deal with the environmental issues in the day-ahead market bidding strategies. To address emission limitations, some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), have been extended. This study offers to electricity generation utilities a mathematical model to determinate the individual optimal generation bid to the wholesale electricity market, for each one of their generation units that maximizes the long-run profits of the utility abiding by the Iberian Electricity Market rules, the environmental restrictions set by the EU Emission Trading Scheme, as well as the restrictions set by the Spanish National Emissions Reduction Plan. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed and the most remarkable results will be presented.

A survey on voltage sag events in power systems

This paper aims to survey the techniques and methods described in literature to analyse and characterise voltage sags and the corresponding objectives of these works. The study has been performed from a data mining point of view

Unusual voltage sag event detection in power systems

Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed

Analyse comparée de régimes institutionnels de gestion des réseaux urbains de l'eau en station touristique de montagne : les cas de Crans-Montana (Suisse) et de Morzine-Avoriaz (France)

La station touristique représente un espace urbain consacré principalement au tourisme, tout en comprenant également une population résidente permanente. Du point de vue de la gestion des réseaux urbains de l'eau, cette caractéristique induit pour ce type de lieu des usages propres à tout espace urbain mais également des spécificités liées à la forte fluctuation saisonnière de la population résidente ou encore à la présence d'usages particuliers tels que l'irrigation des golfs, la production de neige artificielle ou le thermalisme. Dès lors, la planification de l'approvisionnement est délicate et peu prévisible. Ces difficultés sont renforcées par le fait que les concentrations temporelles de la demande coïncident généralement avec des périodes de stress hydrique notable. Dans le cas de stations balnéaires, les pics de fréquentation interviennent en général durant l'été lorsque la ressource en eau est peu disponible. Le problème est similaire dans les stations touristiques de montagne où l'eau est généralement indisponible car stockée sous forme de neige durant les mois de forte fréquentation. De plus, ces difficultés sont souvent renforcées par la localisation géographique des stations touristiques, fréquemment situées dans des espaces sensibles du point de vue de la ressource en eau, avec des situations de pénuries temporelles, voire structurelles. Ces problématiques propres à la plupart des stations touristiques mènent souvent à de fortes rivalités entre, d'une part, les différents usages touristiques de la ressource, et d'autre part, les usages autochtones et touristiques. Les particularités liées au tourisme tendent ainsi à renforcer les rivalités entre différents types de secteurs d'activité (approvisionnement en eau potable, tourisme, hydroélectricité, enneigement artificiel, irrigation, etc.). Ces différents usages de la ressource mis en concurrence nécessitent dès lors la mise en oeuvre de réglementations structurées à travers des politiques publiques ainsi que des droits de propriété et selon des composantes nationales, régionales et locales ; soit un cadre institutionnel que nous proposons d'appeler Régime Institutionnel de Ressource (RIR) (Knoepfel et al. 2001, 2007). A travers cette thèse de doctorat, nous répondons à différentes questions de recherche. Nous tentons d'abord de comprendre comment ces différents RIR sont-ils mis en oeuvre dans le cadre d'espaces touristiques ? Comment ceux-ci sont-ils concrétisés par les acteurs et quels sont leurs effets en termes de durabilité technique, environnementale, sociale et économique des réseaux urbains de l'eau ? Nous questionnons ensuite les effets du tourisme sur la gestion des infrastructures de réseau à l'échelle de la station touristique et de son bassin versant et nous interrogeons sur les effets du tourisme en termes de gestion des eaux urbaines. Nous portons notre attention sur deux stations touristiques situées dans deux contextes institutionnels différents (Crans-Montana en Suisse et Morzine-Avoriaz en France) et y étudions trois types de régimes institutionnels en particulier : la régie directe (gestion publique), l'affermage (gestion déléguée) et la gestion privée des infrastructures. Les résultats de cette thèse de doctorat indiquent tout d'abord dans quelle mesure le tourisme modifie de façon significative la perception et les modalités de gestion de la ressource en eau et des infrastructures. Ils montrent ensuite que l'espace fonctionnel de la gestion de ces infrastructures correspond rarement aux limites du réseau hydrographique naturel et quelles en sont les implications en termes de durabilité. Enfin, la comparaison de différents régimes institutionnels révèle les forces et les faiblesses de chaque modèle de gestion dans le cas spécifique des stations touristiques et également les différentes solutions adoptées localement pour la mise en oeuvre d'un arrangement institutionnel permettant un usage plus ou moins durable des infrastructures de réseau et du réseau hydrographique naturel. - Tourism resort represents an urban area mainly dedicated to tourism while including at the same time a permanent residential population. From the point of view of urban water networks, this characteristic induces a strong seasonal fluctuation of residential population and involves special water uses such as golf irrigation, production of artificial snow or functioning of thermal baths. Therefore, water supply planning can be tricky and difficult to predict. These difficulties are reinforced by the fact that temporary concentrations of water demand coïncidé generally with periods of water stress. In the case of seaside resorts, frequenting peaks arise in general during summer when water resource is less available. The problem is similar in mountainous tourist resorts where water is generally unavailable as it is stored as snow during months of highest frequenting. Furthermore, these difficulties are often reinforced by resorts' geographical localisations, which are often situated in sensitive areas in terms of temporary or structural water shortages. These problematic issues often lead to strong rivalries between tourists' water uses on the one hand, and between locals and tourists uses on the other hand. Thus, features of tourism tend to reinforce rivalries between different sectors of activity (supply of drinking water, tourism, hydroelectricity, artificial snow, irrigation, etc.). These different and competing water uses need the implementation of rules structured through public policies and property rights and through national, regional and local legal components; We propose to call this framework as an Institutional Resource Regime (IRR) (Knoepfel et al. 2001, 2007, 2009). Through this PhD thesis, we answer different research questions. We firstly aim to understand how those different IRR are implemented within tourism spaces? How do actors materialize them and what are their effects in term of technical, environmental, social and economical sustainability of urban water networks? We then, investigate effects of tourism on water networks infrastructures' management at the scale of the tourist resort and its river basin. We focus our attention on two tourist resorts situated within two different institutional contexts (Crans-Montana, Switzerland and Morzine-Avoriaz, France) and study three types of institutional regime in particular: public, delegated and private management of infrastructures. Results of this PhD thesis indicate firstly how tourism modifies in a significant way the perception and management modalities of water resource and infrastructures. Results also show that functional space of infrastructures management rarely matches with the limits of the natural river basin and indicates what it means in terms of sustainability. Finally, the comparison of different institutional regimes reveals the strengths and weakness of each management model in the specific case of tourist resorts and shows the different solutions in locally implementing an institutional arrangement for a more or less sustainable management of network infrastructures and natural water system.

A hybrid method for sag source location in power network

The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification

Visual management of sags and incidents gathered in distribution substations for power quality management

Monitor a distribution network implies working with a huge amount of data coining from the different elements that interact in the network. This paper presents a visualization tool that simplifies the task of searching the database for useful information applicable to fault management or preventive maintenance of the network

Power and selection of contract terms: The case from the Brazilian orange juice sector

ABSTRACT We propose a model to explain how contract terms are selected in the presence of a form of economic power: contract power. The orange juice sector is used to illustrate an analysis that demonstrates the effects of contract power on the economic organization of the sector. We define contract power as the ability to exploit contractual gaps or failures of contractual provisions, which are strategically left incomplete. Empirical evidence from content analysis of antitrust documents supports the logic of contract power in the orange juice sector in three forms: avoiding changes to payment methods from weight to solid contents (quality); using information asymmetries to manipulate indexes that calculate the formula of orange prices; and deliberately harvesting oranges late in order to dehydrate the fruit, which consequently reduces weight and price. The paper contributes to understanding the selection of contract terms and the debate about how antitrust offices can deal with this issue.

Leader corruption depends on power and testosterone

We used incentivized experimental games to manipulate leader power-the number of followers and the discretion leaders had to enforce their will. Leaders had complete autonomy in deciding payouts to themselves and their followers. Although leaders could make prosocial decisions to benefit the public good they could also abuse their power by invoking antisocial decisions, which reduced the total payouts to the group but increased leader's earnings. In Study 1 (N = 478), we found that both amount of followers and discretionary choices independently predicted leader corruption. In Study 2 (N = 240), we examined how power and individual differences (e.g., personality, hormones) affected leader corruption over time; power interacted with testosterone in predicting corruption, which was highest when leader power and baseline testosterone were both high. Honesty predicted initial level of leader antisocial decisions; however, honesty did not shield leaders from the corruptive effect of power.

Villisca Municipal Power Plant, Independent Auditor's Reports Financial Statements and Supplemental Information Schedule of Findings, December 31, 2003

Other Audit Report - Utilities

Power Comic Reader : Lector de comics para plataforma iOS

Lector de comics para plataforma iOS para dispositivos iPad.

Interplay of spectral efficiency, power and doppler spectrum for reference-signal-assisted wireless communication

Expressions relating spectral efficiency, power, and Doppler spectrum, are derived for Rayleigh-faded wireless channels with Gaussian signal transmission. No side information on the state of the channel is assumed at the receiver. Rather, periodic reference signals are postulated in accordance with the functioning of most wireless systems. The analysis relies on a well-established lower bound, generally tight and asymptotically exact at low SNR. In contrast with most previous studies, which relied on block-fading channel models, a continuous-fading model is adopted. This embeds the Doppler spectrum directly in the derived expressions, imbuing them with practical significance. Closed-form relationships are obtained for the popular Clarke-Jakes spectrum and informative expansions, valid for arbitrary spectra, are found for the low- and high-power regimes. While the paper focuses on scalar channels, the extension to multiantenna settings is also discussed.

Optimum power allocation for parallel Gaussian channels with arbitrary input distributions

The mutual information of independent parallel Gaussian-noise channels is maximized, under an average power constraint, by independent Gaussian inputs whose power is allocated according to the waterfilling policy. In practice, discrete signalling constellations with limited peak-to-average ratios (m-PSK, m-QAM, etc) are used in lieu of the ideal Gaussian signals. This paper gives the power allocation policy that maximizes the mutual information over parallel channels with arbitrary input distributions. Such policy admits a graphical interpretation, referred to as mercury/waterfilling, which generalizes the waterfilling solution and allows retaining some of its intuition. The relationship between mutual information of Gaussian channels and nonlinear minimum mean-square error proves key to solving the power allocation problem.

High-SNR power offset in multiantenna communication

The analysis of the multiantenna capacity in the high-SNR regime has hitherto focused on the high-SNR slope (or maximum multiplexing gain), which quantifies the multiplicative increase as function of the number of antennas. This traditional characterization is unable to assess the impact of prominent channel features since, for a majority of channels, the slope equals the minimum of the number of transmit and receive antennas. Furthermore, a characterization based solely on the slope captures only the scaling but it has no notion of the power required for a certain capacity. This paper advocates a more refined characterization whereby, as function of SNRjdB, the high-SNR capacity is expanded as an affine function where the impact of channel features such as antenna correlation, unfaded components, etc, resides in the zero-order term or power offset. The power offset, for which we find insightful closed-form expressions, is shown to play a chief role for SNR levels of practical interest.