Texto para discuss??o 22: utilizando a internet na administra????o p??blica

Este artigo visa contribuir para as discuss??es sobre a utiliza????o da internet no processo de reestrutura????o da administra????o p??blica no anos 90. O trabalho est?? dividido em tr??s partes: a primeira ser?? destinada a fazer uma breve descri????o da internet, suas especificidades e como a administra????o p??blica poder?? utiliz??-la diante do processo de redefini????o do papel do Estado nos anos 90. A apresenta????o de uma estrat??gia simplificada de implementa????o da internet ser?? o foco da segunda parte. Os coment??rios finais e conclus??es ser??o objetos da ??ltima parte

Internet no MARE

Este projeto refere-se ?? administra????o da home page do MARE. Contempla dois princ??pios b??sicos: informa????es atualizadas e textos ??geis, distintos daqueles existentes na imprensa tradicional. O objetivo principal ?? atender o cidad??o com servi??os e informa????es de qualidade. A grande contribui????o do projeto foi colocar em pr??tica princ??pios e conceitos que s??o a pr??pria ess??ncia da reforma administrativa proposta pelo Governo Federal como: administra????o gerencial, cobran??a de resultados e n??o de processos, atividades voltadas a oferecer servi??os de qualidade a um baixo custo e descentraliza????o das atividades

A Receita Federal na internet

Este projeto refere-se ?? inser????o no site do Minist??rio da Fazenda da home page do Imposto de Renda. Foram disponibilizados os programas do Imposto de Renda Pessoa F??sica e Jur??dica, bem como as principais informa????es sobre o preenchimento das declara????es. Como processo de melhoria no atendimento ao contribuinte foi disponibilizada tamb??m a entrega de declara????es via Internet. A avalia????o dos resultados tem sido muito positiva, tendo contribu??do de maneira significativa para a melhoria dos servi??os prestados

Vantagens e desvantagens do preg??o na gest??o de compras no setor p??blico: o caso da Funasa/PB

O presente artigo ?? parte de um estudo explorat??rio cujo objetivo foi analisar as vantagens e desvantagens na aquisi????o de bens e servi??os por meio das modalidades de licita????o preg??o presencial e eletr??nico no servi??o p??blico. Para isso, foi realizado um estudo de caso na Funda????o Nacional de Sa??de da Para??ba. A parte da pesquisa divulgada neste artigo, al??m de uma s??ntese sobre o referencial te??rico, apresenta as caracter??sticas investigadas da modalidade de licita????o preg??o, comparando suas formas presencial e eletr??nica na institui????o estudada. Os resultados apontam aspectos relevantes quanto ??s quest??es: vantagens e desvantagens do preg??o eletr??nico em rela????o ao preg??o presencial e vice-versa; recursos para atendimento de despesas; planejamento anual da FUNASA/PB; economia de pre??o; economia e repasse de recursos para outras necessidades; prazos de fornecimento; treinamento e capacita????o de pessoal. Conclui a exposi????o destacando alguns pontos fortes e fracos do processo, sugerindo medidas a serem avaliadas no que tange a capacita????o de pessoal e planejamento anual na FUNASA/PB.

O impacto da internet na gestão comercial das unidades hoteleiras portuguesas

RESUMO: O presente trabalho tem por objective o estudo da problemática das alterações induzidas pela internet na gestão comercial das unidade hoteleiras portuguesas. O estudo desenvolveu-se em duas fases. Na primeira, através de pesquisa e revisão bibliográfica, procedeu-se aà teorização dos conceitos e técnicas abordadas. A segunda assentou num trabalho de investigação realizado em duas vertentes: a primeira, onde se procurou conhecer a situação vivida através da recolha de dados sobre os sítios das unidades hoteleiras da amostra considerada; a segunda, onde se procurou, através da técnica Delphi, avaliar as perspectivas da evolução dessa mesma realidade. O trabalho realizado evidenciou que a internet, enquanto canal de comunicação e de comercialização, induziu alterações significativas, ainda que em diferentes graus, na forma de realizar a gestão comercial das unidades hoteleiras portuguesas. Alterações que se traduziram, no essencial, na: crescente importância da gestão da relação com os clientes; maior complexidade das políticas de produto e de preços; forte aceleração da acção comercial. Ou seja, a internet induziu não só a necessidade de redefinição do posicionamento das unidades hoteleiras portuguesas, bem como da forma destas realizarem o trabalho comercial. ABSTRACT: This work aims to study the issues around the changes introduced by the internet in the management of marketing of the portuguese hotel units. The study was done in two phases. First by researching and consulting the literature, setting the concepts theory and approach techniques. The second phase was based on a research work following two aspects: in the first instance trying to understand the existing situation through the collection of data regarding the location of the hotel units in the sample used; and secondly we tried, through the Delphi technique, to assess the evolution perspectives of that same reality. This study proved that the internet, as a communication and marketing channel brought about significant changes, although in various degrees, on how marketing management of the Portuguese hotel units is done. These changes were essentially reflect, the increasing importance of client relationship management; the greater complexity of the product and price policies; strong increase in the marketing action. That is, internet has not only introduced the need to redefine the standpoint of the Portuguese hotel units but also how they carry out their marketing activity.

A congestion management and transmission price simulator for competitive electricity markets

In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

Energy and reserve provision dispatch considering distributed generation and demand response

In competitive electricity markets with deep concerns at the efficiency level, demand response programs gain considerable significance. In the same way, distributed generation has gained increasing importance in the operation and planning of power systems. Grid operators and utilities are taking new initiatives, recognizing the value of demand response and of distributed generation for grid reliability and for the enhancement of organized spot market´s efficiency. Grid operators and utilities become able to act in both energy and reserve components of electricity markets. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus distribution network with 32 medium voltage consumers.

Nodal price simulation in competitive electricity markets

Locational Marginal Prices (LMP) are important pricing signals for the participants of competitive electricity markets, as the effects of transmission losses and binding constraints are embedded in LMPs [1],[2]. This paper presents a software tool that evaluates the nodal marginal prices considering losses and congestion. The initial dispatch is based on all the electricity transactions negotiated in the pool and in bilateral contracts. It must be checked if the proposed initial dispatch leads to congestion problems; if a congestion situation is detected, it must be solved. An AC power flow is used to verify if there are congestion situations in the initial dispatch. Whenever congestion situations are detected, they are solved and a feasible dispatch (re-dispatch) is obtained. After solving the congestion problems, the simulator evaluates LMP. The paper presents a case study based on the the 118 IEEE bus test network.

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.

Distributed MPC for Thermal Comfort and Load Allocation with Energy Auction

This paper presents a distributed predictive control methodology for indoor thermal comfort that optimizes the consumption of a limited shared energy resource using an integrated demand-side management approach that involves a power price auction and an appliance loads allocation scheme. The control objective for each subsystem (house or building) aims to minimize the energy cost while maintaining the indoor temperature inside comfort limits. In a distributed coordinated multi-agent ecosystem, each house or building control agent achieves its objectives while sharing, among them, the available energy through the introduction of particular coupling constraints in their underlying optimization problem. Coordination is maintained by a daily green energy auction bring in a demand-side management approach. Also the implemented distributed MPC algorithm is described and validated with simulation studies.

Spinning reserve and emission unit commitment through stochastic optimization

This paper proposes a stochastic mixed-integer linear approach to deal with a short-term unit commitment problem with uncertainty on a deregulated electricity market that includes day-ahead bidding and bilateral contracts. The proposed approach considers the typically operation constraints on the thermal units and a spinning reserve. The uncertainty is due to the electricity prices, which are modeled by a scenario set, allowing an acceptable computation. Moreover, emission allowances are considered in a manner to allow for the consideration of environmental constraints. A case study to illustrate the usefulness of the proposed approach is presented and an assessment of the cost for the spinning reserve is obtained by a comparison between the situation with and without spinning reserve.

Spinning reserve and emission unit commitment through stochastic optimization

This paper proposes a stochastic mixed-integer linear approach to deal with a short-term unit commitment problem with uncertainty on a deregulated electricity market that includes day-ahead bidding and bilateral contracts. The proposed approach considers the typically operation constraints on the thermal units and a spinning reserve. The uncertainty is due to the electricity prices, which are modeled by a scenario set, allowing an acceptable computation. Moreover, emission allowances are considered in a manner to allow for the consideration of environmental constraints. A case study to illustrate the usefulness of the proposed approach is presented and an assessment of the cost for the spinning reserve is obtained by a comparison between the situation with and without spinning reserve.

Análise do mercado de serviços de regulação de frequência secundária e terciária no sistema eléctrico português

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

Self-scheduling and bidding strategies of thermal units with stochastic emission constraints

This paper is on the self-scheduling problem for a thermal power producer taking part in a pool-based electricity market as a price-taker, having bilateral contracts and emission-constrained. An approach based on stochastic mixed-integer linear programming approach is proposed for solving the self-scheduling problem. Uncertainty regarding electricity price is considered through a set of scenarios computed by simulation and scenario-reduction. Thermal units are modelled by variable costs, start-up costs and technical operating constraints, such as: forbidden operating zones, ramp up/down limits and minimum up/down time limits. A requirement on emission allowances to mitigate carbon footprint is modelled by a stochastic constraint. Supply functions for different emission allowance levels are accessed in order to establish the optimal bidding strategy. A case study is presented to illustrate the usefulness and the proficiency of the proposed approach in supporting biding strategies. (C) 2014 Elsevier Ltd. All rights reserved.

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which simulates the electricity markets environment. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network, originating promising results. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator.